diff --git a/examples/mnist/Manifest.toml b/examples/mnist/Manifest.toml
index c943af16..29c5e94b 100644
--- a/examples/mnist/Manifest.toml
+++ b/examples/mnist/Manifest.toml
@@ -1,7 +1,8 @@
 # This file is machine-generated - editing it directly is not advised
 
-julia_version = "1.7.3"
+julia_version = "1.10.3"
 manifest_format = "2.0"
+project_hash = "3049fd46149696b9ac7df5214242bc2535d0a10e"
 
 [[deps.ARFFFiles]]
 deps = ["CategoricalArrays", "Dates", "Parsers", "Tables"]
@@ -10,22 +11,31 @@ uuid = "da404889-ca92-49ff-9e8b-0aa6b4d38dc8"
 version = "1.4.1"
 
 [[deps.AbstractFFTs]]
-deps = ["ChainRulesCore", "LinearAlgebra"]
-git-tree-sha1 = "69f7020bd72f069c219b5e8c236c1fa90d2cb409"
+deps = ["LinearAlgebra"]
+git-tree-sha1 = "d92ad398961a3ed262d8bf04a1a2b8340f915fef"
 uuid = "621f4979-c628-5d54-868e-fcf4e3e8185c"
-version = "1.2.1"
+version = "1.5.0"
+weakdeps = ["ChainRulesCore", "Test"]
 
-[[deps.Accessors]]
-deps = ["Compat", "CompositionsBase", "ConstructionBase", "Dates", "InverseFunctions", "LinearAlgebra", "MacroTools", "Requires", "Test"]
-git-tree-sha1 = "8557017cfc7b58baea05a43ed35538857e6d35b4"
-uuid = "7d9f7c33-5ae7-4f3b-8dc6-eff91059b697"
-version = "0.1.19"
+    [deps.AbstractFFTs.extensions]
+    AbstractFFTsChainRulesCoreExt = "ChainRulesCore"
+    AbstractFFTsTestExt = "Test"
 
 [[deps.Adapt]]
-deps = ["LinearAlgebra"]
-git-tree-sha1 = "195c5505521008abea5aee4f96930717958eac6f"
+deps = ["LinearAlgebra", "Requires"]
+git-tree-sha1 = "6a55b747d1812e699320963ffde36f1ebdda4099"
 uuid = "79e6a3ab-5dfb-504d-930d-738a2a938a0e"
-version = "3.4.0"
+version = "4.0.4"
+weakdeps = ["StaticArrays"]
+
+    [deps.Adapt.extensions]
+    AdaptStaticArraysExt = "StaticArrays"
+
+[[deps.AliasTables]]
+deps = ["PtrArrays", "Random"]
+git-tree-sha1 = "9876e1e164b144ca45e9e3198d0b689cadfed9ff"
+uuid = "66dad0bd-aa9a-41b7-9441-69ab47430ed8"
+version = "1.1.3"
 
 [[deps.ArgCheck]]
 git-tree-sha1 = "a3a402a35a2f7e0b87828ccabbd5ebfbebe356b4"
@@ -34,33 +44,53 @@ version = "2.3.0"
 
 [[deps.ArgTools]]
 uuid = "0dad84c5-d112-42e6-8d28-ef12dabb789f"
-
-[[deps.ArrayInterface]]
-deps = ["ArrayInterfaceCore", "Compat", "IfElse", "LinearAlgebra", "Static"]
-git-tree-sha1 = "0582b5976fc76523f77056e888e454f0f7732596"
-uuid = "4fba245c-0d91-5ea0-9b3e-6abc04ee57a9"
-version = "6.0.22"
-
-[[deps.ArrayInterfaceCore]]
-deps = ["LinearAlgebra", "SparseArrays", "SuiteSparse"]
-git-tree-sha1 = "40debc9f72d0511e12d817c7ca06a721b6423ba3"
-uuid = "30b0a656-2188-435a-8636-2ec0e6a096e2"
-version = "0.1.17"
+version = "1.1.1"
 
 [[deps.Artifacts]]
 uuid = "56f22d72-fd6d-98f1-02f0-08ddc0907c33"
 
+[[deps.Atomix]]
+deps = ["UnsafeAtomics"]
+git-tree-sha1 = "c06a868224ecba914baa6942988e2f2aade419be"
+uuid = "a9b6321e-bd34-4604-b9c9-b65b8de01458"
+version = "0.1.0"
+
+[[deps.AtomsBase]]
+deps = ["LinearAlgebra", "PeriodicTable", "Printf", "Requires", "StaticArrays", "Unitful", "UnitfulAtomic"]
+git-tree-sha1 = "995c2b6b17840cd87b722ce9c6cdd72f47bab545"
+uuid = "a963bdd2-2df7-4f54-a1ee-49d51e6be12a"
+version = "0.3.5"
+
 [[deps.BFloat16s]]
 deps = ["LinearAlgebra", "Printf", "Random", "Test"]
-git-tree-sha1 = "a598ecb0d717092b5539dbbe890c98bac842b072"
+git-tree-sha1 = "2c7cc21e8678eff479978a0a2ef5ce2f51b63dff"
 uuid = "ab4f0b2a-ad5b-11e8-123f-65d77653426b"
-version = "0.2.0"
+version = "0.5.0"
+
+[[deps.BSON]]
+git-tree-sha1 = "4c3e506685c527ac6a54ccc0c8c76fd6f91b42fb"
+uuid = "fbb218c0-5317-5bc6-957e-2ee96dd4b1f0"
+version = "0.3.9"
 
 [[deps.BangBang]]
-deps = ["Compat", "ConstructionBase", "Future", "InitialValues", "LinearAlgebra", "Requires", "Setfield", "Tables", "ZygoteRules"]
-git-tree-sha1 = "b15a6bc52594f5e4a3b825858d1089618871bf9d"
+deps = ["Compat", "ConstructionBase", "InitialValues", "LinearAlgebra", "Requires", "Setfield", "Tables"]
+git-tree-sha1 = "7aa7ad1682f3d5754e3491bb59b8103cae28e3a3"
 uuid = "198e06fe-97b7-11e9-32a5-e1d131e6ad66"
-version = "0.3.36"
+version = "0.3.40"
+
+    [deps.BangBang.extensions]
+    BangBangChainRulesCoreExt = "ChainRulesCore"
+    BangBangDataFramesExt = "DataFrames"
+    BangBangStaticArraysExt = "StaticArrays"
+    BangBangStructArraysExt = "StructArrays"
+    BangBangTypedTablesExt = "TypedTables"
+
+    [deps.BangBang.weakdeps]
+    ChainRulesCore = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4"
+    DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
+    StaticArrays = "90137ffa-7385-5640-81b9-e52037218182"
+    StructArrays = "09ab397b-f2b6-538f-b94a-2f83cf4a842a"
+    TypedTables = "9d95f2ec-7b3d-5a63-8d20-e2491e220bb9"
 
 [[deps.Base64]]
 uuid = "2a0f44e3-6c83-55bd-87e4-b1978d98bd5f"
@@ -70,45 +100,78 @@ git-tree-sha1 = "aebf55e6d7795e02ca500a689d326ac979aaf89e"
 uuid = "9718e550-a3fa-408a-8086-8db961cd8217"
 version = "0.1.1"
 
-[[deps.BinaryProvider]]
-deps = ["Libdl", "Logging", "SHA"]
-git-tree-sha1 = "ecdec412a9abc8db54c0efc5548c64dfce072058"
-uuid = "b99e7846-7c00-51b0-8f62-c81ae34c0232"
-version = "0.5.10"
+[[deps.BitFlags]]
+git-tree-sha1 = "2dc09997850d68179b69dafb58ae806167a32b1b"
+uuid = "d1d4a3ce-64b1-5f1a-9ba4-7e7e69966f35"
+version = "0.1.8"
 
 [[deps.BufferedStreams]]
-git-tree-sha1 = "bb065b14d7f941b8617bc323063dbe79f55d16ea"
+git-tree-sha1 = "4ae47f9a4b1dc19897d3743ff13685925c5202ec"
 uuid = "e1450e63-4bb3-523b-b2a4-4ffa8c0fd77d"
-version = "1.1.0"
+version = "1.2.1"
 
 [[deps.Bzip2_jll]]
 deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "19a35467a82e236ff51bc17a3a44b69ef35185a2"
+git-tree-sha1 = "9e2a6b69137e6969bab0152632dcb3bc108c8bdd"
 uuid = "6e34b625-4abd-537c-b88f-471c36dfa7a0"
-version = "1.0.8+0"
+version = "1.0.8+1"
 
 [[deps.CEnum]]
-git-tree-sha1 = "eb4cb44a499229b3b8426dcfb5dd85333951ff90"
+git-tree-sha1 = "389ad5c84de1ae7cf0e28e381131c98ea87d54fc"
 uuid = "fa961155-64e5-5f13-b03f-caf6b980ea82"
-version = "0.4.2"
+version = "0.5.0"
 
 [[deps.CSV]]
-deps = ["CodecZlib", "Dates", "FilePathsBase", "InlineStrings", "Mmap", "Parsers", "PooledArrays", "SentinelArrays", "Tables", "Unicode", "WeakRefStrings"]
-git-tree-sha1 = "873fb188a4b9d76549b81465b1f75c82aaf59238"
+deps = ["CodecZlib", "Dates", "FilePathsBase", "InlineStrings", "Mmap", "Parsers", "PooledArrays", "PrecompileTools", "SentinelArrays", "Tables", "Unicode", "WeakRefStrings", "WorkerUtilities"]
+git-tree-sha1 = "6c834533dc1fabd820c1db03c839bf97e45a3fab"
 uuid = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
-version = "0.10.4"
+version = "0.10.14"
 
 [[deps.CUDA]]
-deps = ["AbstractFFTs", "Adapt", "BFloat16s", "CEnum", "CompilerSupportLibraries_jll", "ExprTools", "GPUArrays", "GPUCompiler", "LLVM", "LazyArtifacts", "Libdl", "LinearAlgebra", "Logging", "Printf", "Random", "Random123", "RandomNumbers", "Reexport", "Requires", "SparseArrays", "SpecialFunctions", "TimerOutputs"]
-git-tree-sha1 = "49549e2c28ffb9cc77b3689dc10e46e6271e9452"
+deps = ["AbstractFFTs", "Adapt", "BFloat16s", "CEnum", "CUDA_Driver_jll", "CUDA_Runtime_Discovery", "CUDA_Runtime_jll", "Crayons", "DataFrames", "ExprTools", "GPUArrays", "GPUCompiler", "KernelAbstractions", "LLVM", "LLVMLoopInfo", "LazyArtifacts", "Libdl", "LinearAlgebra", "Logging", "NVTX", "Preferences", "PrettyTables", "Printf", "Random", "Random123", "RandomNumbers", "Reexport", "Requires", "SparseArrays", "StaticArrays", "Statistics"]
+git-tree-sha1 = "b8c28cb78014f7ae81a652ce1524cba7667dea5c"
 uuid = "052768ef-5323-5732-b1bb-66c8b64840ba"
-version = "3.12.0"
+version = "5.3.5"
+
+    [deps.CUDA.extensions]
+    ChainRulesCoreExt = "ChainRulesCore"
+    EnzymeCoreExt = "EnzymeCore"
+    SpecialFunctionsExt = "SpecialFunctions"
+
+    [deps.CUDA.weakdeps]
+    ChainRulesCore = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4"
+    EnzymeCore = "f151be2c-9106-41f4-ab19-57ee4f262869"
+    SpecialFunctions = "276daf66-3868-5448-9aa4-cd146d93841b"
+
+[[deps.CUDA_Driver_jll]]
+deps = ["Artifacts", "JLLWrappers", "LazyArtifacts", "Libdl", "Pkg"]
+git-tree-sha1 = "dc172b558adbf17952001e15cf0d6364e6d78c2f"
+uuid = "4ee394cb-3365-5eb0-8335-949819d2adfc"
+version = "0.8.1+0"
+
+[[deps.CUDA_Runtime_Discovery]]
+deps = ["Libdl"]
+git-tree-sha1 = "38f830504358e9972d2a0c3e5d51cb865e0733df"
+uuid = "1af6417a-86b4-443c-805f-a4643ffb695f"
+version = "0.2.4"
+
+[[deps.CUDA_Runtime_jll]]
+deps = ["Artifacts", "CUDA_Driver_jll", "JLLWrappers", "LazyArtifacts", "Libdl", "TOML"]
+git-tree-sha1 = "4ca7d6d92075906c2ce871ea8bba971fff20d00c"
+uuid = "76a88914-d11a-5bdc-97e0-2f5a05c973a2"
+version = "0.12.1+0"
+
+[[deps.CUDNN_jll]]
+deps = ["Artifacts", "CUDA_Runtime_jll", "JLLWrappers", "LazyArtifacts", "Libdl", "TOML"]
+git-tree-sha1 = "cbf7d75f8c58b147bdf6acea2e5bc96cececa6d4"
+uuid = "62b44479-cb7b-5706-934f-f13b2eb2e645"
+version = "9.0.0+1"
 
 [[deps.Cairo_jll]]
-deps = ["Artifacts", "Bzip2_jll", "Fontconfig_jll", "FreeType2_jll", "Glib_jll", "JLLWrappers", "LZO_jll", "Libdl", "Pixman_jll", "Pkg", "Xorg_libXext_jll", "Xorg_libXrender_jll", "Zlib_jll", "libpng_jll"]
-git-tree-sha1 = "4b859a208b2397a7a623a03449e4636bdb17bcf2"
+deps = ["Artifacts", "Bzip2_jll", "CompilerSupportLibraries_jll", "Fontconfig_jll", "FreeType2_jll", "Glib_jll", "JLLWrappers", "LZO_jll", "Libdl", "Pixman_jll", "Xorg_libXext_jll", "Xorg_libXrender_jll", "Zlib_jll", "libpng_jll"]
+git-tree-sha1 = "a2f1c8c668c8e3cb4cca4e57a8efdb09067bb3fd"
 uuid = "83423d85-b0ee-5818-9007-b63ccbeb887a"
-version = "1.16.1+1"
+version = "1.18.0+2"
 
 [[deps.Calculus]]
 deps = ["LinearAlgebra"]
@@ -118,63 +181,95 @@ version = "0.5.1"
 
 [[deps.CategoricalArrays]]
 deps = ["DataAPI", "Future", "Missings", "Printf", "Requires", "Statistics", "Unicode"]
-git-tree-sha1 = "5f5a975d996026a8dd877c35fe26a7b8179c02ba"
+git-tree-sha1 = "1568b28f91293458345dabba6a5ea3f183250a61"
 uuid = "324d7699-5711-5eae-9e2f-1d82baa6b597"
-version = "0.10.6"
+version = "0.10.8"
+weakdeps = ["JSON", "RecipesBase", "SentinelArrays", "StructTypes"]
+
+    [deps.CategoricalArrays.extensions]
+    CategoricalArraysJSONExt = "JSON"
+    CategoricalArraysRecipesBaseExt = "RecipesBase"
+    CategoricalArraysSentinelArraysExt = "SentinelArrays"
+    CategoricalArraysStructTypesExt = "StructTypes"
 
 [[deps.CategoricalDistributions]]
-deps = ["CategoricalArrays", "Distributions", "Missings", "OrderedCollections", "Random", "ScientificTypes", "UnicodePlots"]
-git-tree-sha1 = "036d44b2d1ed2a8a3409790103e277ab5cbe30df"
+deps = ["CategoricalArrays", "Distributions", "Missings", "OrderedCollections", "Random", "ScientificTypes"]
+git-tree-sha1 = "926862f549a82d6c3a7145bc7f1adff2a91a39f0"
 uuid = "af321ab8-2d2e-40a6-b165-3d674595d28e"
-version = "0.1.8"
+version = "0.1.15"
+
+    [deps.CategoricalDistributions.extensions]
+    UnivariateFiniteDisplayExt = "UnicodePlots"
+
+    [deps.CategoricalDistributions.weakdeps]
+    UnicodePlots = "b8865327-cd53-5732-bb35-84acbb429228"
 
 [[deps.ChainRules]]
-deps = ["Adapt", "ChainRulesCore", "Compat", "Distributed", "GPUArraysCore", "IrrationalConstants", "LinearAlgebra", "Random", "RealDot", "SparseArrays", "Statistics", "StructArrays"]
-git-tree-sha1 = "650415ad4c2a007b17f577cb081d9376cc908b6f"
+deps = ["Adapt", "ChainRulesCore", "Compat", "Distributed", "GPUArraysCore", "IrrationalConstants", "LinearAlgebra", "Random", "RealDot", "SparseArrays", "SparseInverseSubset", "Statistics", "StructArrays", "SuiteSparse"]
+git-tree-sha1 = "291821c1251486504f6bae435227907d734e94d2"
 uuid = "082447d4-558c-5d27-93f4-14fc19e9eca2"
-version = "1.44.2"
+version = "1.66.0"
 
 [[deps.ChainRulesCore]]
-deps = ["Compat", "LinearAlgebra", "SparseArrays"]
-git-tree-sha1 = "80ca332f6dcb2508adba68f22f551adb2d00a624"
+deps = ["Compat", "LinearAlgebra"]
+git-tree-sha1 = "575cd02e080939a33b6df6c5853d14924c08e35b"
 uuid = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4"
-version = "1.15.3"
+version = "1.23.0"
+weakdeps = ["SparseArrays"]
 
-[[deps.ChangesOfVariables]]
-deps = ["ChainRulesCore", "LinearAlgebra", "Test"]
-git-tree-sha1 = "38f7a08f19d8810338d4f5085211c7dfa5d5bdd8"
-uuid = "9e997f8a-9a97-42d5-a9f1-ce6bfc15e2c0"
-version = "0.1.4"
+    [deps.ChainRulesCore.extensions]
+    ChainRulesCoreSparseArraysExt = "SparseArrays"
+
+[[deps.Chemfiles]]
+deps = ["AtomsBase", "Chemfiles_jll", "DocStringExtensions", "PeriodicTable", "Unitful", "UnitfulAtomic"]
+git-tree-sha1 = "82fe5e341c793cb51149d993307da9543824b206"
+uuid = "46823bd8-5fb3-5f92-9aa0-96921f3dd015"
+version = "0.10.41"
+
+[[deps.Chemfiles_jll]]
+deps = ["Artifacts", "JLLWrappers", "Libdl"]
+git-tree-sha1 = "f3743181e30d87c23d9c8ebd493b77f43d8f1890"
+uuid = "78a364fa-1a3c-552a-b4bb-8fa0f9c1fcca"
+version = "0.10.4+0"
 
 [[deps.CodecZlib]]
 deps = ["TranscodingStreams", "Zlib_jll"]
-git-tree-sha1 = "ded953804d019afa9a3f98981d99b33e3db7b6da"
+git-tree-sha1 = "59939d8a997469ee05c4b4944560a820f9ba0d73"
 uuid = "944b1d66-785c-5afd-91f1-9de20f533193"
-version = "0.7.0"
+version = "0.7.4"
 
 [[deps.ColorSchemes]]
-deps = ["ColorTypes", "ColorVectorSpace", "Colors", "FixedPointNumbers", "Random"]
-git-tree-sha1 = "1fd869cc3875b57347f7027521f561cf46d1fcd8"
+deps = ["ColorTypes", "ColorVectorSpace", "Colors", "FixedPointNumbers", "PrecompileTools", "Random"]
+git-tree-sha1 = "4b270d6465eb21ae89b732182c20dc165f8bf9f2"
 uuid = "35d6a980-a343-548e-a6ea-1d62b119f2f4"
-version = "3.19.0"
+version = "3.25.0"
 
 [[deps.ColorTypes]]
 deps = ["FixedPointNumbers", "Random"]
-git-tree-sha1 = "eb7f0f8307f71fac7c606984ea5fb2817275d6e4"
+git-tree-sha1 = "b10d0b65641d57b8b4d5e234446582de5047050d"
 uuid = "3da002f7-5984-5a60-b8a6-cbb66c0b333f"
-version = "0.11.4"
+version = "0.11.5"
 
 [[deps.ColorVectorSpace]]
-deps = ["ColorTypes", "FixedPointNumbers", "LinearAlgebra", "SpecialFunctions", "Statistics", "TensorCore"]
-git-tree-sha1 = "d08c20eef1f2cbc6e60fd3612ac4340b89fea322"
+deps = ["ColorTypes", "FixedPointNumbers", "LinearAlgebra", "Requires", "Statistics", "TensorCore"]
+git-tree-sha1 = "a1f44953f2382ebb937d60dafbe2deea4bd23249"
 uuid = "c3611d14-8923-5661-9e6a-0046d554d3a4"
-version = "0.9.9"
+version = "0.10.0"
+weakdeps = ["SpecialFunctions"]
+
+    [deps.ColorVectorSpace.extensions]
+    SpecialFunctionsExt = "SpecialFunctions"
 
 [[deps.Colors]]
 deps = ["ColorTypes", "FixedPointNumbers", "Reexport"]
-git-tree-sha1 = "417b0ed7b8b838aa6ca0a87aadf1bb9eb111ce40"
+git-tree-sha1 = "362a287c3aa50601b0bc359053d5c2468f0e7ce0"
 uuid = "5ae59095-9a9b-59fe-a467-6f913c188581"
-version = "0.12.8"
+version = "0.12.11"
+
+[[deps.Combinatorics]]
+git-tree-sha1 = "08c8b6831dc00bfea825826be0bc8336fc369860"
+uuid = "861a8166-3701-5b0c-9a16-15d98fcdc6aa"
+version = "1.0.2"
 
 [[deps.CommonSubexpressions]]
 deps = ["MacroTools", "Test"]
@@ -183,41 +278,72 @@ uuid = "bbf7d656-a473-5ed7-a52c-81e309532950"
 version = "0.3.0"
 
 [[deps.Compat]]
-deps = ["Base64", "Dates", "DelimitedFiles", "Distributed", "InteractiveUtils", "LibGit2", "Libdl", "LinearAlgebra", "Markdown", "Mmap", "Pkg", "Printf", "REPL", "Random", "SHA", "Serialization", "SharedArrays", "Sockets", "SparseArrays", "Statistics", "Test", "UUIDs", "Unicode"]
-git-tree-sha1 = "78bee250c6826e1cf805a88b7f1e86025275d208"
+deps = ["TOML", "UUIDs"]
+git-tree-sha1 = "b1c55339b7c6c350ee89f2c1604299660525b248"
 uuid = "34da2185-b29b-5c13-b0c7-acf172513d20"
-version = "3.46.0"
+version = "4.15.0"
+weakdeps = ["Dates", "LinearAlgebra"]
+
+    [deps.Compat.extensions]
+    CompatLinearAlgebraExt = "LinearAlgebra"
 
 [[deps.CompilerSupportLibraries_jll]]
 deps = ["Artifacts", "Libdl"]
 uuid = "e66e0078-7015-5450-92f7-15fbd957f2ae"
+version = "1.1.1+0"
 
 [[deps.CompositionsBase]]
-git-tree-sha1 = "455419f7e328a1a2493cabc6428d79e951349769"
+git-tree-sha1 = "802bb88cd69dfd1509f6670416bd4434015693ad"
 uuid = "a33af91c-f02d-484b-be07-31d278c5ca2b"
-version = "0.1.1"
+version = "0.1.2"
+
+    [deps.CompositionsBase.extensions]
+    CompositionsBaseInverseFunctionsExt = "InverseFunctions"
+
+    [deps.CompositionsBase.weakdeps]
+    InverseFunctions = "3587e190-3f89-42d0-90ee-14403ec27112"
 
 [[deps.ComputationalResources]]
 git-tree-sha1 = "52cb3ec90e8a8bea0e62e275ba577ad0f74821f7"
 uuid = "ed09eef8-17a6-5b46-8889-db040fac31e3"
 version = "0.3.2"
 
+[[deps.ConcurrentUtilities]]
+deps = ["Serialization", "Sockets"]
+git-tree-sha1 = "6cbbd4d241d7e6579ab354737f4dd95ca43946e1"
+uuid = "f0e56b4a-5159-44fe-b623-3e5288b988bb"
+version = "2.4.1"
+
+[[deps.Conda]]
+deps = ["Downloads", "JSON", "VersionParsing"]
+git-tree-sha1 = "51cab8e982c5b598eea9c8ceaced4b58d9dd37c9"
+uuid = "8f4d0f93-b110-5947-807f-2305c1781a2d"
+version = "1.10.0"
+
 [[deps.ConstructionBase]]
 deps = ["LinearAlgebra"]
-git-tree-sha1 = "59d00b3139a9de4eb961057eabb65ac6522be954"
+git-tree-sha1 = "260fd2400ed2dab602a7c15cf10c1933c59930a2"
 uuid = "187b0558-2788-49d3-abe0-74a17ed4e7c9"
-version = "1.4.0"
+version = "1.5.5"
+
+    [deps.ConstructionBase.extensions]
+    ConstructionBaseIntervalSetsExt = "IntervalSets"
+    ConstructionBaseStaticArraysExt = "StaticArrays"
+
+    [deps.ConstructionBase.weakdeps]
+    IntervalSets = "8197267c-284f-5f27-9208-e0e47529a953"
+    StaticArrays = "90137ffa-7385-5640-81b9-e52037218182"
 
 [[deps.ContextVariablesX]]
 deps = ["Compat", "Logging", "UUIDs"]
-git-tree-sha1 = "8ccaa8c655bc1b83d2da4d569c9b28254ababd6e"
+git-tree-sha1 = "25cc3803f1030ab855e383129dcd3dc294e322cc"
 uuid = "6add18c4-b38d-439d-96f6-d6bc489c04c5"
-version = "0.1.2"
+version = "0.1.3"
 
 [[deps.Contour]]
-git-tree-sha1 = "d05d9e7b7aedff4e5b51a029dced05cfb6125781"
+git-tree-sha1 = "439e35b0b36e2e5881738abc8857bd92ad6ff9a8"
 uuid = "d38c429a-6771-53c6-b99e-75d170b6e991"
-version = "0.6.2"
+version = "0.6.3"
 
 [[deps.Crayons]]
 git-tree-sha1 = "249fe38abf76d48563e2f4556bebd215aa317e15"
@@ -225,27 +351,27 @@ uuid = "a8cc5b0e-0ffa-5ad4-8c14-923d3ee1735f"
 version = "4.1.1"
 
 [[deps.DataAPI]]
-git-tree-sha1 = "fb5f5316dd3fd4c5e7c30a24d50643b73e37cd40"
+git-tree-sha1 = "abe83f3a2f1b857aac70ef8b269080af17764bbe"
 uuid = "9a962f9c-6df0-11e9-0e5d-c546b8b5ee8a"
-version = "1.10.0"
+version = "1.16.0"
 
 [[deps.DataDeps]]
-deps = ["BinaryProvider", "HTTP", "Libdl", "Reexport", "SHA", "p7zip_jll"]
-git-tree-sha1 = "e299d8267135ef2f9c941a764006697082c1e7e8"
+deps = ["HTTP", "Libdl", "Reexport", "SHA", "Scratch", "p7zip_jll"]
+git-tree-sha1 = "8ae085b71c462c2cb1cfedcb10c3c877ec6cf03f"
 uuid = "124859b0-ceae-595e-8997-d05f6a7a8dfe"
-version = "0.7.8"
+version = "0.7.13"
 
 [[deps.DataFrames]]
-deps = ["Compat", "DataAPI", "Future", "InvertedIndices", "IteratorInterfaceExtensions", "LinearAlgebra", "Markdown", "Missings", "PooledArrays", "PrettyTables", "Printf", "REPL", "Reexport", "SortingAlgorithms", "Statistics", "TableTraits", "Tables", "Unicode"]
-git-tree-sha1 = "daa21eb85147f72e41f6352a57fccea377e310a9"
+deps = ["Compat", "DataAPI", "DataStructures", "Future", "InlineStrings", "InvertedIndices", "IteratorInterfaceExtensions", "LinearAlgebra", "Markdown", "Missings", "PooledArrays", "PrecompileTools", "PrettyTables", "Printf", "REPL", "Random", "Reexport", "SentinelArrays", "SortingAlgorithms", "Statistics", "TableTraits", "Tables", "Unicode"]
+git-tree-sha1 = "04c738083f29f86e62c8afc341f0967d8717bdb8"
 uuid = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
-version = "1.3.4"
+version = "1.6.1"
 
 [[deps.DataStructures]]
 deps = ["Compat", "InteractiveUtils", "OrderedCollections"]
-git-tree-sha1 = "d1fff3a548102f48987a52a2e0d114fa97d730f0"
+git-tree-sha1 = "1d0a14036acb104d9e89698bd408f63ab58cdc82"
 uuid = "864edb3b-99cc-5e75-8d2d-829cb0a9cfe8"
-version = "0.18.13"
+version = "0.18.20"
 
 [[deps.DataValueInterfaces]]
 git-tree-sha1 = "bfc1187b79289637fa0ef6d4436ebdfe6905cbd6"
@@ -263,51 +389,63 @@ version = "0.1.2"
 
 [[deps.DelimitedFiles]]
 deps = ["Mmap"]
+git-tree-sha1 = "9e2f36d3c96a820c678f2f1f1782582fcf685bae"
 uuid = "8bb1440f-4735-579b-a4ab-409b98df4dab"
-
-[[deps.DensityInterface]]
-deps = ["InverseFunctions", "Test"]
-git-tree-sha1 = "80c3e8639e3353e5d2912fb3a1916b8455e2494b"
-uuid = "b429d917-457f-4dbc-8f4c-0cc954292b1d"
-version = "0.4.0"
+version = "1.9.1"
 
 [[deps.DiffResults]]
-deps = ["StaticArrays"]
-git-tree-sha1 = "c18e98cba888c6c25d1c3b048e4b3380ca956805"
+deps = ["StaticArraysCore"]
+git-tree-sha1 = "782dd5f4561f5d267313f23853baaaa4c52ea621"
 uuid = "163ba53b-c6d8-5494-b064-1a9d43ac40c5"
-version = "1.0.3"
+version = "1.1.0"
 
 [[deps.DiffRules]]
 deps = ["IrrationalConstants", "LogExpFunctions", "NaNMath", "Random", "SpecialFunctions"]
-git-tree-sha1 = "28d605d9a0ac17118fe2c5e9ce0fbb76c3ceb120"
+git-tree-sha1 = "23163d55f885173722d1e4cf0f6110cdbaf7e272"
 uuid = "b552c78f-8df3-52c6-915a-8e097449b14b"
-version = "1.11.0"
+version = "1.15.1"
 
 [[deps.Distances]]
-deps = ["LinearAlgebra", "SparseArrays", "Statistics", "StatsAPI"]
-git-tree-sha1 = "3258d0659f812acde79e8a74b11f17ac06d0ca04"
+deps = ["LinearAlgebra", "Statistics", "StatsAPI"]
+git-tree-sha1 = "66c4c81f259586e8f002eacebc177e1fb06363b0"
 uuid = "b4f34e82-e78d-54a5-968a-f98e89d6e8f7"
-version = "0.10.7"
+version = "0.10.11"
+weakdeps = ["ChainRulesCore", "SparseArrays"]
+
+    [deps.Distances.extensions]
+    DistancesChainRulesCoreExt = "ChainRulesCore"
+    DistancesSparseArraysExt = "SparseArrays"
 
 [[deps.Distributed]]
 deps = ["Random", "Serialization", "Sockets"]
 uuid = "8ba89e20-285c-5b6f-9357-94700520ee1b"
 
 [[deps.Distributions]]
-deps = ["ChainRulesCore", "DensityInterface", "FillArrays", "LinearAlgebra", "PDMats", "Printf", "QuadGK", "Random", "SparseArrays", "SpecialFunctions", "Statistics", "StatsBase", "StatsFuns", "Test"]
-git-tree-sha1 = "6180800cebb409d7eeef8b2a9a562107b9705be5"
+deps = ["AliasTables", "FillArrays", "LinearAlgebra", "PDMats", "Printf", "QuadGK", "Random", "SpecialFunctions", "Statistics", "StatsAPI", "StatsBase", "StatsFuns"]
+git-tree-sha1 = "22c595ca4146c07b16bcf9c8bea86f731f7109d2"
 uuid = "31c24e10-a181-5473-b8eb-7969acd0382f"
-version = "0.25.67"
+version = "0.25.108"
+
+    [deps.Distributions.extensions]
+    DistributionsChainRulesCoreExt = "ChainRulesCore"
+    DistributionsDensityInterfaceExt = "DensityInterface"
+    DistributionsTestExt = "Test"
+
+    [deps.Distributions.weakdeps]
+    ChainRulesCore = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4"
+    DensityInterface = "b429d917-457f-4dbc-8f4c-0cc954292b1d"
+    Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 
 [[deps.DocStringExtensions]]
 deps = ["LibGit2"]
-git-tree-sha1 = "5158c2b41018c5f7eb1470d558127ac274eca0c9"
+git-tree-sha1 = "2fb1e02f2b635d0845df5d7c167fec4dd739b00d"
 uuid = "ffbed154-4ef7-542d-bbb7-c09d3a79fcae"
-version = "0.9.1"
+version = "0.9.3"
 
 [[deps.Downloads]]
 deps = ["ArgTools", "FileWatching", "LibCURL", "NetworkOptions"]
 uuid = "f43a241f-c20a-4ad4-852c-f6b1247861c6"
+version = "1.6.0"
 
 [[deps.DualNumbers]]
 deps = ["Calculus", "NaNMath", "SpecialFunctions"]
@@ -315,33 +453,34 @@ git-tree-sha1 = "5837a837389fccf076445fce071c8ddaea35a566"
 uuid = "fa6b7ba4-c1ee-5f82-b5fc-ecf0adba8f74"
 version = "0.6.8"
 
-[[deps.EarCut_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "3f3a2501fa7236e9b911e0f7a588c657e822bb6d"
-uuid = "5ae413db-bbd1-5e63-b57d-d24a61df00f5"
-version = "2.2.3+0"
-
 [[deps.EarlyStopping]]
 deps = ["Dates", "Statistics"]
 git-tree-sha1 = "98fdf08b707aaf69f524a6cd0a67858cefe0cfb6"
 uuid = "792122b4-ca99-40de-a6bc-6742525f08b6"
 version = "0.3.0"
 
+[[deps.EpollShim_jll]]
+deps = ["Artifacts", "JLLWrappers", "Libdl"]
+git-tree-sha1 = "8e9441ee83492030ace98f9789a654a6d0b1f643"
+uuid = "2702e6a9-849d-5ed8-8c21-79e8b8f9ee43"
+version = "0.0.20230411+0"
+
+[[deps.ExceptionUnwrapping]]
+deps = ["Test"]
+git-tree-sha1 = "dcb08a0d93ec0b1cdc4af184b26b591e9695423a"
+uuid = "460bff9d-24e4-43bc-9d9f-a8973cb893f4"
+version = "0.1.10"
+
 [[deps.Expat_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "bad72f730e9e91c08d9427d5e8db95478a3c323d"
+deps = ["Artifacts", "JLLWrappers", "Libdl"]
+git-tree-sha1 = "1c6317308b9dc757616f0b5cb379db10494443a7"
 uuid = "2e619515-83b5-522b-bb60-26c02a35a201"
-version = "2.4.8+0"
+version = "2.6.2+0"
 
 [[deps.ExprTools]]
-git-tree-sha1 = "56559bbef6ca5ea0c0818fa5c90320398a6fbf8d"
+git-tree-sha1 = "27415f162e6028e81c72b82ef756bf321213b6ec"
 uuid = "e2ba6199-217a-4e67-a87a-7c52f15ade04"
-version = "0.1.8"
-
-[[deps.Extents]]
-git-tree-sha1 = "5e1e4c53fa39afe63a7d356e30452249365fba99"
-uuid = "411431e0-e8b7-467b-b5e0-f676ba4f2910"
-version = "0.1.1"
+version = "0.1.10"
 
 [[deps.FFMPEG]]
 deps = ["FFMPEG_jll"]
@@ -350,16 +489,16 @@ uuid = "c87230d0-a227-11e9-1b43-d7ebe4e7570a"
 version = "0.4.1"
 
 [[deps.FFMPEG_jll]]
-deps = ["Artifacts", "Bzip2_jll", "FreeType2_jll", "FriBidi_jll", "JLLWrappers", "LAME_jll", "Libdl", "Ogg_jll", "OpenSSL_jll", "Opus_jll", "Pkg", "Zlib_jll", "libaom_jll", "libass_jll", "libfdk_aac_jll", "libvorbis_jll", "x264_jll", "x265_jll"]
-git-tree-sha1 = "ccd479984c7838684b3ac204b716c89955c76623"
+deps = ["Artifacts", "Bzip2_jll", "FreeType2_jll", "FriBidi_jll", "JLLWrappers", "LAME_jll", "Libdl", "Ogg_jll", "OpenSSL_jll", "Opus_jll", "PCRE2_jll", "Zlib_jll", "libaom_jll", "libass_jll", "libfdk_aac_jll", "libvorbis_jll", "x264_jll", "x265_jll"]
+git-tree-sha1 = "466d45dc38e15794ec7d5d63ec03d776a9aff36e"
 uuid = "b22a6f82-2f65-5046-a5b2-351ab43fb4e5"
-version = "4.4.2+0"
+version = "4.4.4+1"
 
 [[deps.FLoops]]
 deps = ["BangBang", "Compat", "FLoopsBase", "InitialValues", "JuliaVariables", "MLStyle", "Serialization", "Setfield", "Transducers"]
-git-tree-sha1 = "4391d3ed58db9dc5a9883b23a0578316b4798b1f"
+git-tree-sha1 = "ffb97765602e3cbe59a0589d237bf07f245a8576"
 uuid = "cc61a311-1640-44b5-9fba-1b764f453329"
-version = "0.2.0"
+version = "0.2.1"
 
 [[deps.FLoopsBase]]
 deps = ["ContextVariablesX"]
@@ -369,153 +508,139 @@ version = "0.1.1"
 
 [[deps.FileIO]]
 deps = ["Pkg", "Requires", "UUIDs"]
-git-tree-sha1 = "94f5101b96d2d968ace56f7f2db19d0a5f592e28"
+git-tree-sha1 = "82d8afa92ecf4b52d78d869f038ebfb881267322"
 uuid = "5789e2e9-d7fb-5bc7-8068-2c6fae9b9549"
-version = "1.15.0"
+version = "1.16.3"
 
 [[deps.FilePathsBase]]
 deps = ["Compat", "Dates", "Mmap", "Printf", "Test", "UUIDs"]
-git-tree-sha1 = "129b104185df66e408edd6625d480b7f9e9823a0"
+git-tree-sha1 = "9f00e42f8d99fdde64d40c8ea5d14269a2e2c1aa"
 uuid = "48062228-2e41-5def-b9a4-89aafe57970f"
-version = "0.9.18"
+version = "0.9.21"
 
 [[deps.FileWatching]]
 uuid = "7b1f6079-737a-58dc-b8bc-7a2ca5c1b5ee"
 
 [[deps.FillArrays]]
-deps = ["LinearAlgebra", "Random", "SparseArrays", "Statistics"]
-git-tree-sha1 = "246621d23d1f43e3b9c368bf3b72b2331a27c286"
+deps = ["LinearAlgebra"]
+git-tree-sha1 = "0653c0a2396a6da5bc4766c43041ef5fd3efbe57"
 uuid = "1a297f60-69ca-5386-bcde-b61e274b549b"
-version = "0.13.2"
+version = "1.11.0"
+weakdeps = ["PDMats", "SparseArrays", "Statistics"]
+
+    [deps.FillArrays.extensions]
+    FillArraysPDMatsExt = "PDMats"
+    FillArraysSparseArraysExt = "SparseArrays"
+    FillArraysStatisticsExt = "Statistics"
 
 [[deps.FixedPointNumbers]]
 deps = ["Statistics"]
-git-tree-sha1 = "335bfdceacc84c5cdf16aadc768aa5ddfc5383cc"
+git-tree-sha1 = "05882d6995ae5c12bb5f36dd2ed3f61c98cbb172"
 uuid = "53c48c17-4a7d-5ca2-90c5-79b7896eea93"
-version = "0.8.4"
+version = "0.8.5"
 
 [[deps.Flux]]
-deps = ["Adapt", "ArrayInterface", "CUDA", "ChainRulesCore", "Functors", "LinearAlgebra", "MLUtils", "MacroTools", "NNlib", "NNlibCUDA", "Optimisers", "ProgressLogging", "Random", "Reexport", "SparseArrays", "SpecialFunctions", "Statistics", "StatsBase", "Test", "Zygote"]
-git-tree-sha1 = "9b5419ad6f043ac2b52f1b7f9a8ecb8762231214"
+deps = ["Adapt", "ChainRulesCore", "Compat", "Functors", "LinearAlgebra", "MLUtils", "MacroTools", "NNlib", "OneHotArrays", "Optimisers", "Preferences", "ProgressLogging", "Random", "Reexport", "SparseArrays", "SpecialFunctions", "Statistics", "Zygote"]
+git-tree-sha1 = "a5475163b611812d073171583982c42ea48d22b0"
 uuid = "587475ba-b771-5e3f-ad9e-33799f191a9c"
-version = "0.13.5"
+version = "0.14.15"
 
-[[deps.FoldsThreads]]
-deps = ["Accessors", "FunctionWrappers", "InitialValues", "SplittablesBase", "Transducers"]
-git-tree-sha1 = "eb8e1989b9028f7e0985b4268dabe94682249025"
-uuid = "9c68100b-dfe1-47cf-94c8-95104e173443"
-version = "0.1.1"
+    [deps.Flux.extensions]
+    FluxAMDGPUExt = "AMDGPU"
+    FluxCUDAExt = "CUDA"
+    FluxCUDAcuDNNExt = ["CUDA", "cuDNN"]
+    FluxMetalExt = "Metal"
+
+    [deps.Flux.weakdeps]
+    AMDGPU = "21141c5a-9bdb-4563-92ae-f87d6854732e"
+    CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
+    Metal = "dde4c033-4e86-420c-a63e-0dd931031962"
+    cuDNN = "02a925ec-e4fe-4b08-9a7e-0d78e3d38ccd"
 
 [[deps.Fontconfig_jll]]
-deps = ["Artifacts", "Bzip2_jll", "Expat_jll", "FreeType2_jll", "JLLWrappers", "Libdl", "Libuuid_jll", "Pkg", "Zlib_jll"]
-git-tree-sha1 = "21efd19106a55620a188615da6d3d06cd7f6ee03"
+deps = ["Artifacts", "Bzip2_jll", "Expat_jll", "FreeType2_jll", "JLLWrappers", "Libdl", "Libuuid_jll", "Zlib_jll"]
+git-tree-sha1 = "db16beca600632c95fc8aca29890d83788dd8b23"
 uuid = "a3f928ae-7b40-5064-980b-68af3947d34b"
-version = "2.13.93+0"
+version = "2.13.96+0"
 
-[[deps.Formatting]]
-deps = ["Printf"]
-git-tree-sha1 = "8339d61043228fdd3eb658d86c926cb282ae72a8"
-uuid = "59287772-0a20-5a39-b81b-1366585eb4c0"
-version = "0.4.2"
+[[deps.Format]]
+git-tree-sha1 = "9c68794ef81b08086aeb32eeaf33531668d5f5fc"
+uuid = "1fa38f19-a742-5d3f-a2b9-30dd87b9d5f8"
+version = "1.3.7"
 
 [[deps.ForwardDiff]]
-deps = ["CommonSubexpressions", "DiffResults", "DiffRules", "LinearAlgebra", "LogExpFunctions", "NaNMath", "Preferences", "Printf", "Random", "SpecialFunctions", "StaticArrays"]
-git-tree-sha1 = "187198a4ed8ccd7b5d99c41b69c679269ea2b2d4"
+deps = ["CommonSubexpressions", "DiffResults", "DiffRules", "LinearAlgebra", "LogExpFunctions", "NaNMath", "Preferences", "Printf", "Random", "SpecialFunctions"]
+git-tree-sha1 = "cf0fe81336da9fb90944683b8c41984b08793dad"
 uuid = "f6369f11-7733-5829-9624-2563aa707210"
-version = "0.10.32"
+version = "0.10.36"
+weakdeps = ["StaticArrays"]
 
-[[deps.FreeType]]
-deps = ["CEnum", "FreeType2_jll"]
-git-tree-sha1 = "cabd77ab6a6fdff49bfd24af2ebe76e6e018a2b4"
-uuid = "b38be410-82b0-50bf-ab77-7b57e271db43"
-version = "4.0.0"
+    [deps.ForwardDiff.extensions]
+    ForwardDiffStaticArraysExt = "StaticArrays"
 
 [[deps.FreeType2_jll]]
-deps = ["Artifacts", "Bzip2_jll", "JLLWrappers", "Libdl", "Pkg", "Zlib_jll"]
-git-tree-sha1 = "87eb71354d8ec1a96d4a7636bd57a7347dde3ef9"
+deps = ["Artifacts", "Bzip2_jll", "JLLWrappers", "Libdl", "Zlib_jll"]
+git-tree-sha1 = "5c1d8ae0efc6c2e7b1fc502cbe25def8f661b7bc"
 uuid = "d7e528f0-a631-5988-bf34-fe36492bcfd7"
-version = "2.10.4+0"
-
-[[deps.FreeTypeAbstraction]]
-deps = ["ColorVectorSpace", "Colors", "FreeType", "GeometryBasics"]
-git-tree-sha1 = "38a92e40157100e796690421e34a11c107205c86"
-uuid = "663a7486-cb36-511b-a19d-713bb74d65c9"
-version = "0.10.0"
+version = "2.13.2+0"
 
 [[deps.FriBidi_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "aa31987c2ba8704e23c6c8ba8a4f769d5d7e4f91"
+deps = ["Artifacts", "JLLWrappers", "Libdl"]
+git-tree-sha1 = "1ed150b39aebcc805c26b93a8d0122c940f64ce2"
 uuid = "559328eb-81f9-559d-9380-de523a88c83c"
-version = "1.0.10+0"
-
-[[deps.FunctionWrappers]]
-git-tree-sha1 = "241552bc2209f0fa068b6415b1942cc0aa486bcc"
-uuid = "069b7b12-0de2-55c6-9aab-29f3d0a68a2e"
-version = "1.1.2"
+version = "1.0.14+0"
 
 [[deps.Functors]]
 deps = ["LinearAlgebra"]
-git-tree-sha1 = "a2657dd0f3e8a61dbe70fc7c122038bd33790af5"
+git-tree-sha1 = "d3e63d9fa13f8eaa2f06f64949e2afc593ff52c2"
 uuid = "d9f16b24-f501-4c13-a1f2-28368ffc5196"
-version = "0.3.0"
+version = "0.4.10"
 
 [[deps.Future]]
 deps = ["Random"]
 uuid = "9fa8497b-333b-5362-9e8d-4d0656e87820"
 
 [[deps.GLFW_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Libglvnd_jll", "Pkg", "Xorg_libXcursor_jll", "Xorg_libXi_jll", "Xorg_libXinerama_jll", "Xorg_libXrandr_jll"]
-git-tree-sha1 = "d972031d28c8c8d9d7b41a536ad7bb0c2579caca"
+deps = ["Artifacts", "JLLWrappers", "Libdl", "Libglvnd_jll", "Xorg_libXcursor_jll", "Xorg_libXi_jll", "Xorg_libXinerama_jll", "Xorg_libXrandr_jll"]
+git-tree-sha1 = "ff38ba61beff76b8f4acad8ab0c97ef73bb670cb"
 uuid = "0656b61e-2033-5cc2-a64a-77c0f6c09b89"
-version = "3.3.8+0"
+version = "3.3.9+0"
 
 [[deps.GPUArrays]]
 deps = ["Adapt", "GPUArraysCore", "LLVM", "LinearAlgebra", "Printf", "Random", "Reexport", "Serialization", "Statistics"]
-git-tree-sha1 = "45d7deaf05cbb44116ba785d147c518ab46352d7"
+git-tree-sha1 = "38cb19b8a3e600e509dc36a6396ac74266d108c1"
 uuid = "0c68f7d7-f131-5f86-a1c3-88cf8149b2d7"
-version = "8.5.0"
+version = "10.1.1"
 
 [[deps.GPUArraysCore]]
 deps = ["Adapt"]
-git-tree-sha1 = "6872f5ec8fd1a38880f027a26739d42dcda6691f"
+git-tree-sha1 = "ec632f177c0d990e64d955ccc1b8c04c485a0950"
 uuid = "46192b85-c4d5-4398-a991-12ede77f4527"
-version = "0.1.2"
+version = "0.1.6"
 
 [[deps.GPUCompiler]]
-deps = ["ExprTools", "InteractiveUtils", "LLVM", "Libdl", "Logging", "TimerOutputs", "UUIDs"]
-git-tree-sha1 = "122d7bcc92abf94cf1a86281ad7a4d0e838ab9e0"
+deps = ["ExprTools", "InteractiveUtils", "LLVM", "Libdl", "Logging", "Scratch", "TimerOutputs", "UUIDs"]
+git-tree-sha1 = "1600477fba37c9fc067b9be21f5e8101f24a8865"
 uuid = "61eb1bfa-7361-4325-ad38-22787b887f55"
-version = "0.16.3"
+version = "0.26.4"
 
 [[deps.GR]]
-deps = ["Base64", "DelimitedFiles", "GR_jll", "HTTP", "JSON", "Libdl", "LinearAlgebra", "Pkg", "Printf", "Random", "RelocatableFolders", "Serialization", "Sockets", "Test", "UUIDs"]
-git-tree-sha1 = "cf0a9940f250dc3cb6cc6c6821b4bf8a4286cf9c"
+deps = ["Artifacts", "Base64", "DelimitedFiles", "Downloads", "GR_jll", "HTTP", "JSON", "Libdl", "LinearAlgebra", "Preferences", "Printf", "Random", "Serialization", "Sockets", "TOML", "Tar", "Test", "p7zip_jll"]
+git-tree-sha1 = "ddda044ca260ee324c5fc07edb6d7cf3f0b9c350"
 uuid = "28b8d3ca-fb5f-59d9-8090-bfdbd6d07a71"
-version = "0.66.2"
+version = "0.73.5"
 
 [[deps.GR_jll]]
-deps = ["Artifacts", "Bzip2_jll", "Cairo_jll", "FFMPEG_jll", "Fontconfig_jll", "GLFW_jll", "JLLWrappers", "JpegTurbo_jll", "Libdl", "Libtiff_jll", "Pixman_jll", "Pkg", "Qt5Base_jll", "Zlib_jll", "libpng_jll"]
-git-tree-sha1 = "2d908286d120c584abbe7621756c341707096ba4"
+deps = ["Artifacts", "Bzip2_jll", "Cairo_jll", "FFMPEG_jll", "Fontconfig_jll", "FreeType2_jll", "GLFW_jll", "JLLWrappers", "JpegTurbo_jll", "Libdl", "Libtiff_jll", "Pixman_jll", "Qt6Base_jll", "Zlib_jll", "libpng_jll"]
+git-tree-sha1 = "278e5e0f820178e8a26df3184fcb2280717c79b1"
 uuid = "d2c73de3-f751-5644-a686-071e5b155ba9"
-version = "0.66.2+0"
+version = "0.73.5+0"
 
 [[deps.GZip]]
-deps = ["Libdl"]
-git-tree-sha1 = "039be665faf0b8ae36e089cd694233f5dee3f7d6"
+deps = ["Libdl", "Zlib_jll"]
+git-tree-sha1 = "0085ccd5ec327c077ec5b91a5f937b759810ba62"
 uuid = "92fee26a-97fe-5a0c-ad85-20a5f3185b63"
-version = "0.5.1"
-
-[[deps.GeoInterface]]
-deps = ["Extents"]
-git-tree-sha1 = "fb28b5dc239d0174d7297310ef7b84a11804dfab"
-uuid = "cf35fbd7-0cd7-5166-be24-54bfbe79505f"
-version = "1.0.1"
-
-[[deps.GeometryBasics]]
-deps = ["EarCut_jll", "GeoInterface", "IterTools", "LinearAlgebra", "StaticArrays", "StructArrays", "Tables"]
-git-tree-sha1 = "a7a97895780dab1085a97769316aa348830dc991"
-uuid = "5c1252a2-5f33-56bf-86c9-59e7332b4326"
-version = "0.4.3"
+version = "0.6.2"
 
 [[deps.Gettext_jll]]
 deps = ["Artifacts", "CompilerSupportLibraries_jll", "JLLWrappers", "Libdl", "Libiconv_jll", "Pkg", "XML2_jll"]
@@ -524,21 +649,15 @@ uuid = "78b55507-aeef-58d4-861c-77aaff3498b1"
 version = "0.21.0+0"
 
 [[deps.Glib_jll]]
-deps = ["Artifacts", "Gettext_jll", "JLLWrappers", "Libdl", "Libffi_jll", "Libiconv_jll", "Libmount_jll", "PCRE_jll", "Pkg", "Zlib_jll"]
-git-tree-sha1 = "a32d672ac2c967f3deb8a81d828afc739c838a06"
+deps = ["Artifacts", "Gettext_jll", "JLLWrappers", "Libdl", "Libffi_jll", "Libiconv_jll", "Libmount_jll", "PCRE2_jll", "Zlib_jll"]
+git-tree-sha1 = "7c82e6a6cd34e9d935e9aa4051b66c6ff3af59ba"
 uuid = "7746bdde-850d-59dc-9ae8-88ece973131d"
-version = "2.68.3+2"
+version = "2.80.2+0"
 
 [[deps.Glob]]
-git-tree-sha1 = "4df9f7e06108728ebf00a0a11edee4b29a482bb2"
+git-tree-sha1 = "97285bbd5230dd766e9ef6749b80fc617126d496"
 uuid = "c27321d9-0574-5035-807b-f59d2c89b15c"
-version = "1.3.0"
-
-[[deps.Graphics]]
-deps = ["Colors", "LinearAlgebra", "NaNMath"]
-git-tree-sha1 = "d61890399bc535850c4bf08e4e0d3a7ad0f21cbd"
-uuid = "a2bd30eb-e257-5431-a919-1863eab51364"
-version = "1.1.2"
+version = "1.3.1"
 
 [[deps.Graphite2_jll]]
 deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
@@ -552,22 +671,28 @@ uuid = "42e2da0e-8278-4e71-bc24-59509adca0fe"
 version = "1.0.2"
 
 [[deps.HDF5]]
-deps = ["Compat", "HDF5_jll", "Libdl", "Mmap", "Random", "Requires"]
-git-tree-sha1 = "9ffc57b9bb643bf3fce34f3daf9ff506ed2d8b7a"
+deps = ["Compat", "HDF5_jll", "Libdl", "MPIPreferences", "Mmap", "Preferences", "Printf", "Random", "Requires", "UUIDs"]
+git-tree-sha1 = "e856eef26cf5bf2b0f95f8f4fc37553c72c8641c"
 uuid = "f67ccb44-e63f-5c2f-98bd-6dc0ccc4ba2f"
-version = "0.16.10"
+version = "0.17.2"
+
+    [deps.HDF5.extensions]
+    MPIExt = "MPI"
+
+    [deps.HDF5.weakdeps]
+    MPI = "da04e1cc-30fd-572f-bb4f-1f8673147195"
 
 [[deps.HDF5_jll]]
-deps = ["Artifacts", "JLLWrappers", "LibCURL_jll", "Libdl", "OpenSSL_jll", "Pkg", "Zlib_jll"]
-git-tree-sha1 = "c003b31e2e818bc512b0ff99d7dce03b0c1359f5"
+deps = ["Artifacts", "CompilerSupportLibraries_jll", "JLLWrappers", "LazyArtifacts", "LibCURL_jll", "Libdl", "MPICH_jll", "MPIPreferences", "MPItrampoline_jll", "MicrosoftMPI_jll", "OpenMPI_jll", "OpenSSL_jll", "TOML", "Zlib_jll", "libaec_jll"]
+git-tree-sha1 = "82a471768b513dc39e471540fdadc84ff80ff997"
 uuid = "0234f1f7-429e-5d53-9886-15a909be8d59"
-version = "1.12.2+1"
+version = "1.14.3+3"
 
 [[deps.HTTP]]
-deps = ["Base64", "Dates", "IniFile", "Logging", "MbedTLS", "NetworkOptions", "Sockets", "URIs"]
-git-tree-sha1 = "0fa77022fe4b511826b39c894c90daf5fce3334a"
+deps = ["Base64", "CodecZlib", "ConcurrentUtilities", "Dates", "ExceptionUnwrapping", "Logging", "LoggingExtras", "MbedTLS", "NetworkOptions", "OpenSSL", "Random", "SimpleBufferStream", "Sockets", "URIs", "UUIDs"]
+git-tree-sha1 = "d1d712be3164d61d1fb98e7ce9bcbc6cc06b45ed"
 uuid = "cd3eb016-35fb-5094-929b-558a96fad6f3"
-version = "0.9.17"
+version = "1.10.8"
 
 [[deps.HarfBuzz_jll]]
 deps = ["Artifacts", "Cairo_jll", "Fontconfig_jll", "FreeType2_jll", "Glib_jll", "Graphite2_jll", "JLLWrappers", "Libdl", "Libffi_jll", "Pkg"]
@@ -575,45 +700,47 @@ git-tree-sha1 = "129acf094d168394e80ee1dc4bc06ec835e510a3"
 uuid = "2e76f6c2-a576-52d4-95c1-20adfe4de566"
 version = "2.8.1+1"
 
+[[deps.Hwloc_jll]]
+deps = ["Artifacts", "JLLWrappers", "Libdl"]
+git-tree-sha1 = "ca0f6bf568b4bfc807e7537f081c81e35ceca114"
+uuid = "e33a78d0-f292-5ffc-b300-72abe9b543c8"
+version = "2.10.0+0"
+
 [[deps.HypergeometricFunctions]]
-deps = ["DualNumbers", "LinearAlgebra", "OpenLibm_jll", "SpecialFunctions", "Test"]
-git-tree-sha1 = "709d864e3ed6e3545230601f94e11ebc65994641"
+deps = ["DualNumbers", "LinearAlgebra", "OpenLibm_jll", "SpecialFunctions"]
+git-tree-sha1 = "f218fe3736ddf977e0e772bc9a586b2383da2685"
 uuid = "34004b35-14d8-5ef3-9330-4cdb6864b03a"
-version = "0.3.11"
+version = "0.3.23"
+
+[[deps.IJulia]]
+deps = ["Base64", "Conda", "Dates", "InteractiveUtils", "JSON", "Libdl", "Logging", "Markdown", "MbedTLS", "Pkg", "Printf", "REPL", "Random", "SoftGlobalScope", "Test", "UUIDs", "ZMQ"]
+git-tree-sha1 = "47ac8cc196b81001a711f4b2c12c97372338f00c"
+uuid = "7073ff75-c697-5162-941a-fcdaad2a7d2a"
+version = "1.24.2"
 
 [[deps.IRTools]]
-deps = ["InteractiveUtils", "MacroTools", "Test"]
-git-tree-sha1 = "af14a478780ca78d5eb9908b263023096c2b9d64"
+deps = ["InteractiveUtils", "MacroTools"]
+git-tree-sha1 = "950c3717af761bc3ff906c2e8e52bd83390b6ec2"
 uuid = "7869d1d1-7146-5819-86e3-90919afe41df"
-version = "0.4.6"
-
-[[deps.IfElse]]
-git-tree-sha1 = "debdd00ffef04665ccbb3e150747a77560e8fad1"
-uuid = "615f187c-cbe4-4ef1-ba3b-2fcf58d6d173"
-version = "0.1.1"
+version = "0.4.14"
 
 [[deps.ImageBase]]
 deps = ["ImageCore", "Reexport"]
-git-tree-sha1 = "b51bb8cae22c66d0f6357e3bcb6363145ef20835"
+git-tree-sha1 = "eb49b82c172811fd2c86759fa0553a2221feb909"
 uuid = "c817782e-172a-44cc-b673-b171935fbb9e"
-version = "0.1.5"
+version = "0.1.7"
 
 [[deps.ImageCore]]
-deps = ["AbstractFFTs", "ColorVectorSpace", "Colors", "FixedPointNumbers", "Graphics", "MappedArrays", "MosaicViews", "OffsetArrays", "PaddedViews", "Reexport"]
-git-tree-sha1 = "acf614720ef026d38400b3817614c45882d75500"
+deps = ["ColorVectorSpace", "Colors", "FixedPointNumbers", "MappedArrays", "MosaicViews", "OffsetArrays", "PaddedViews", "PrecompileTools", "Reexport"]
+git-tree-sha1 = "b2a7eaa169c13f5bcae8131a83bc30eff8f71be0"
 uuid = "a09fc81d-aa75-5fe9-8630-4744c3626534"
-version = "0.9.4"
+version = "0.10.2"
 
 [[deps.ImageShow]]
-deps = ["Base64", "FileIO", "ImageBase", "ImageCore", "OffsetArrays", "StackViews"]
-git-tree-sha1 = "b563cf9ae75a635592fc73d3eb78b86220e55bd8"
+deps = ["Base64", "ColorSchemes", "FileIO", "ImageBase", "ImageCore", "OffsetArrays", "StackViews"]
+git-tree-sha1 = "3b5344bcdbdc11ad58f3b1956709b5b9345355de"
 uuid = "4e3cecfd-b093-5904-9786-8bbb286a6a31"
-version = "0.3.6"
-
-[[deps.IniFile]]
-git-tree-sha1 = "f550e6e32074c939295eb5ea6de31849ac2c9625"
-uuid = "83e8ac13-25f8-5344-8a64-a9f2b223428f"
-version = "0.5.1"
+version = "0.3.8"
 
 [[deps.InitialValues]]
 git-tree-sha1 = "4da0f88e9a39111c2fa3add390ab15f3a44f3ca3"
@@ -622,9 +749,9 @@ version = "0.3.1"
 
 [[deps.InlineStrings]]
 deps = ["Parsers"]
-git-tree-sha1 = "d19f9edd8c34760dca2de2b503f969d8700ed288"
+git-tree-sha1 = "9cc2baf75c6d09f9da536ddf58eb2f29dedaf461"
 uuid = "842dd82b-1e85-43dc-bf29-5d0ee9dffc48"
-version = "1.1.4"
+version = "1.4.0"
 
 [[deps.InteractiveUtils]]
 deps = ["Markdown"]
@@ -636,32 +763,21 @@ git-tree-sha1 = "eb05b5625bc5d821b8075a77e4c421933e20c76b"
 uuid = "7d512f48-7fb1-5a58-b986-67e6dc259f01"
 version = "0.7.0"
 
-[[deps.InverseFunctions]]
-deps = ["Test"]
-git-tree-sha1 = "b3364212fb5d870f724876ffcd34dd8ec6d98918"
-uuid = "3587e190-3f89-42d0-90ee-14403ec27112"
-version = "0.1.7"
-
 [[deps.InvertedIndices]]
-git-tree-sha1 = "bee5f1ef5bf65df56bdd2e40447590b272a5471f"
+git-tree-sha1 = "0dc7b50b8d436461be01300fd8cd45aa0274b038"
 uuid = "41ab1584-1d38-5bbf-9106-f11c6c58b48f"
-version = "1.1.0"
+version = "1.3.0"
 
 [[deps.IrrationalConstants]]
-git-tree-sha1 = "7fd44fd4ff43fc60815f8e764c0f352b83c49151"
+git-tree-sha1 = "630b497eafcc20001bba38a4651b327dcfc491d2"
 uuid = "92d709cd-6900-40b7-9082-c6be49f344b6"
-version = "0.1.1"
-
-[[deps.IterTools]]
-git-tree-sha1 = "fa6287a4469f5e048d763df38279ee729fbd44e5"
-uuid = "c8e1da08-722c-5040-9ed9-7db0dc04731e"
-version = "1.4.0"
+version = "0.2.2"
 
 [[deps.IterationControl]]
 deps = ["EarlyStopping", "InteractiveUtils"]
-git-tree-sha1 = "d7df9a6fdd82a8cfdfe93a94fcce35515be634da"
+git-tree-sha1 = "e663925ebc3d93c1150a7570d114f9ea2f664726"
 uuid = "b3c1a2ee-3fec-4384-bf48-272ea71de57c"
-version = "0.5.3"
+version = "0.5.4"
 
 [[deps.IteratorInterfaceExtensions]]
 git-tree-sha1 = "a3f24677c21f5bbe9d2a714f95dcd58337fb2856"
@@ -669,34 +785,52 @@ uuid = "82899510-4779-5014-852e-03e436cf321d"
 version = "1.0.0"
 
 [[deps.JLD2]]
-deps = ["FileIO", "MacroTools", "Mmap", "OrderedCollections", "Pkg", "Printf", "Reexport", "TranscodingStreams", "UUIDs"]
-git-tree-sha1 = "81b9477b49402b47fbe7f7ae0b252077f53e4a08"
+deps = ["FileIO", "MacroTools", "Mmap", "OrderedCollections", "Pkg", "PrecompileTools", "Reexport", "Requires", "TranscodingStreams", "UUIDs", "Unicode"]
+git-tree-sha1 = "bdbe8222d2f5703ad6a7019277d149ec6d78c301"
 uuid = "033835bb-8acc-5ee8-8aae-3f567f8a3819"
-version = "0.4.22"
+version = "0.4.48"
+
+[[deps.JLFzf]]
+deps = ["Pipe", "REPL", "Random", "fzf_jll"]
+git-tree-sha1 = "a53ebe394b71470c7f97c2e7e170d51df21b17af"
+uuid = "1019f520-868f-41f5-a6de-eb00f4b6a39c"
+version = "0.1.7"
 
 [[deps.JLLWrappers]]
-deps = ["Preferences"]
-git-tree-sha1 = "abc9885a7ca2052a736a600f7fa66209f96506e1"
+deps = ["Artifacts", "Preferences"]
+git-tree-sha1 = "7e5d6779a1e09a36db2a7b6cff50942a0a7d0fca"
 uuid = "692b3bcd-3c85-4b1f-b108-f13ce0eb3210"
-version = "1.4.1"
+version = "1.5.0"
 
 [[deps.JSON]]
 deps = ["Dates", "Mmap", "Parsers", "Unicode"]
-git-tree-sha1 = "3c837543ddb02250ef42f4738347454f95079d4e"
+git-tree-sha1 = "31e996f0a15c7b280ba9f76636b3ff9e2ae58c9a"
 uuid = "682c06a0-de6a-54ab-a142-c8b1cf79cde6"
-version = "0.21.3"
+version = "0.21.4"
 
 [[deps.JSON3]]
-deps = ["Dates", "Mmap", "Parsers", "StructTypes", "UUIDs"]
-git-tree-sha1 = "fd6f0cae36f42525567108a42c1c674af2ac620d"
+deps = ["Dates", "Mmap", "Parsers", "PrecompileTools", "StructTypes", "UUIDs"]
+git-tree-sha1 = "eb3edce0ed4fa32f75a0a11217433c31d56bd48b"
 uuid = "0f8b85d8-7281-11e9-16c2-39a750bddbf1"
-version = "1.9.5"
+version = "1.14.0"
+
+    [deps.JSON3.extensions]
+    JSON3ArrowExt = ["ArrowTypes"]
+
+    [deps.JSON3.weakdeps]
+    ArrowTypes = "31f734f8-188a-4ce0-8406-c8a06bd891cd"
 
 [[deps.JpegTurbo_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "b53380851c6e6664204efb2e62cd24fa5c47e4ba"
+deps = ["Artifacts", "JLLWrappers", "Libdl"]
+git-tree-sha1 = "c84a835e1a09b289ffcd2271bf2a337bbdda6637"
 uuid = "aacddb02-875f-59d6-b918-886e6ef4fbf8"
-version = "2.1.2+0"
+version = "3.0.3+0"
+
+[[deps.JuliaNVTXCallbacks_jll]]
+deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
+git-tree-sha1 = "af433a10f3942e882d3c671aacb203e006a5808f"
+uuid = "9c1d0b0a-7046-5b2e-a33f-ea22f176ac7e"
+version = "0.2.1+0"
 
 [[deps.JuliaVariables]]
 deps = ["MLStyle", "NameResolution"]
@@ -704,11 +838,23 @@ git-tree-sha1 = "49fb3cb53362ddadb4415e9b73926d6b40709e70"
 uuid = "b14d175d-62b4-44ba-8fb7-3064adc8c3ec"
 version = "0.2.4"
 
+[[deps.KernelAbstractions]]
+deps = ["Adapt", "Atomix", "InteractiveUtils", "LinearAlgebra", "MacroTools", "PrecompileTools", "Requires", "SparseArrays", "StaticArrays", "UUIDs", "UnsafeAtomics", "UnsafeAtomicsLLVM"]
+git-tree-sha1 = "db02395e4c374030c53dc28f3c1d33dec35f7272"
+uuid = "63c18a36-062a-441e-b654-da1e3ab1ce7c"
+version = "0.9.19"
+
+    [deps.KernelAbstractions.extensions]
+    EnzymeExt = "EnzymeCore"
+
+    [deps.KernelAbstractions.weakdeps]
+    EnzymeCore = "f151be2c-9106-41f4-ab19-57ee4f262869"
+
 [[deps.LAME_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "f6250b16881adf048549549fba48b1161acdac8c"
+deps = ["Artifacts", "JLLWrappers", "Libdl"]
+git-tree-sha1 = "170b660facf5df5de098d866564877e119141cbd"
 uuid = "c1c5ebd0-6772-5130-a774-d5fcae4a789d"
-version = "3.100.1+0"
+version = "3.100.2+0"
 
 [[deps.LERC_jll]]
 deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
@@ -717,39 +863,62 @@ uuid = "88015f11-f218-50d7-93a8-a6af411a945d"
 version = "3.0.0+1"
 
 [[deps.LLVM]]
-deps = ["CEnum", "LLVMExtra_jll", "Libdl", "Printf", "Unicode"]
-git-tree-sha1 = "e7e9184b0bf0158ac4e4aa9daf00041b5909bf1a"
+deps = ["CEnum", "LLVMExtra_jll", "Libdl", "Preferences", "Printf", "Requires", "Unicode"]
+git-tree-sha1 = "839c82932db86740ae729779e610f07a1640be9a"
 uuid = "929cbde3-209d-540e-8aea-75f648917ca0"
-version = "4.14.0"
+version = "6.6.3"
+weakdeps = ["BFloat16s"]
+
+    [deps.LLVM.extensions]
+    BFloat16sExt = "BFloat16s"
 
 [[deps.LLVMExtra_jll]]
-deps = ["Artifacts", "JLLWrappers", "LazyArtifacts", "Libdl", "Pkg", "TOML"]
-git-tree-sha1 = "771bfe376249626d3ca12bcd58ba243d3f961576"
+deps = ["Artifacts", "JLLWrappers", "LazyArtifacts", "Libdl", "TOML"]
+git-tree-sha1 = "88b916503aac4fb7f701bb625cd84ca5dd1677bc"
 uuid = "dad2f222-ce93-54a1-a47d-0025e8a3acab"
-version = "0.0.16+0"
+version = "0.0.29+0"
+
+[[deps.LLVMLoopInfo]]
+git-tree-sha1 = "2e5c102cfc41f48ae4740c7eca7743cc7e7b75ea"
+uuid = "8b046642-f1f6-4319-8d3c-209ddc03c586"
+version = "1.0.0"
+
+[[deps.LLVMOpenMP_jll]]
+deps = ["Artifacts", "JLLWrappers", "Libdl"]
+git-tree-sha1 = "d986ce2d884d49126836ea94ed5bfb0f12679713"
+uuid = "1d63c593-3942-5779-bab2-d838dc0a180e"
+version = "15.0.7+0"
 
 [[deps.LZO_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "e5b909bcf985c5e2605737d2ce278ed791b89be6"
+deps = ["Artifacts", "JLLWrappers", "Libdl"]
+git-tree-sha1 = "70c5da094887fd2cae843b8db33920bac4b6f07d"
 uuid = "dd4b983a-f0e5-5f8d-a1b7-129d4a5fb1ac"
-version = "2.10.1+0"
+version = "2.10.2+0"
 
 [[deps.LaTeXStrings]]
-git-tree-sha1 = "f2355693d6778a178ade15952b7ac47a4ff97996"
+git-tree-sha1 = "50901ebc375ed41dbf8058da26f9de442febbbec"
 uuid = "b964fa9f-0449-5b57-a5c2-d3ea65f4040f"
-version = "1.3.0"
+version = "1.3.1"
 
 [[deps.Latexify]]
-deps = ["Formatting", "InteractiveUtils", "LaTeXStrings", "MacroTools", "Markdown", "Printf", "Requires"]
-git-tree-sha1 = "1a43be956d433b5d0321197150c2f94e16c0aaa0"
+deps = ["Format", "InteractiveUtils", "LaTeXStrings", "MacroTools", "Markdown", "OrderedCollections", "Requires"]
+git-tree-sha1 = "e0b5cd21dc1b44ec6e64f351976f961e6f31d6c4"
 uuid = "23fbe1c1-3f47-55db-b15f-69d7ec21a316"
-version = "0.15.16"
+version = "0.16.3"
+
+    [deps.Latexify.extensions]
+    DataFramesExt = "DataFrames"
+    SymEngineExt = "SymEngine"
+
+    [deps.Latexify.weakdeps]
+    DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
+    SymEngine = "123dc426-2d89-5057-bbad-38513e3affd8"
 
 [[deps.LatinHypercubeSampling]]
 deps = ["Random", "StableRNGs", "StatsBase", "Test"]
-git-tree-sha1 = "42938ab65e9ed3c3029a8d2c58382ca75bdab243"
+git-tree-sha1 = "825289d43c753c7f1bf9bed334c253e9913997f8"
 uuid = "a5e1c1ea-c99a-51d3-a14d-a9a37257b02d"
-version = "1.8.0"
+version = "1.9.0"
 
 [[deps.LazyArtifacts]]
 deps = ["Artifacts", "Pkg"]
@@ -760,21 +929,35 @@ git-tree-sha1 = "a560dd966b386ac9ae60bdd3a3d3a326062d3c3e"
 uuid = "8cdb02fc-e678-4876-92c5-9defec4f444e"
 version = "0.3.1"
 
+[[deps.LearnAPI]]
+deps = ["InteractiveUtils", "Statistics"]
+git-tree-sha1 = "ec695822c1faaaa64cee32d0b21505e1977b4809"
+uuid = "92ad9a40-7767-427a-9ee6-6e577f1266cb"
+version = "0.1.0"
+
 [[deps.LibCURL]]
 deps = ["LibCURL_jll", "MozillaCACerts_jll"]
 uuid = "b27032c2-a3e7-50c8-80cd-2d36dbcbfd21"
+version = "0.6.4"
 
 [[deps.LibCURL_jll]]
 deps = ["Artifacts", "LibSSH2_jll", "Libdl", "MbedTLS_jll", "Zlib_jll", "nghttp2_jll"]
 uuid = "deac9b47-8bc7-5906-a0fe-35ac56dc84c0"
+version = "8.4.0+0"
 
 [[deps.LibGit2]]
-deps = ["Base64", "NetworkOptions", "Printf", "SHA"]
+deps = ["Base64", "LibGit2_jll", "NetworkOptions", "Printf", "SHA"]
 uuid = "76f85450-5226-5b5a-8eaa-529ad045b433"
 
+[[deps.LibGit2_jll]]
+deps = ["Artifacts", "LibSSH2_jll", "Libdl", "MbedTLS_jll"]
+uuid = "e37daf67-58a4-590a-8e99-b0245dd2ffc5"
+version = "1.6.4+0"
+
 [[deps.LibSSH2_jll]]
 deps = ["Artifacts", "Libdl", "MbedTLS_jll"]
 uuid = "29816b5a-b9ab-546f-933c-edad1886dfa8"
+version = "1.11.0+1"
 
 [[deps.Libdl]]
 uuid = "8f399da3-3557-5675-b5ff-fb832c97cbdb"
@@ -786,220 +969,300 @@ uuid = "e9f186c6-92d2-5b65-8a66-fee21dc1b490"
 version = "3.2.2+1"
 
 [[deps.Libgcrypt_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Libgpg_error_jll", "Pkg"]
-git-tree-sha1 = "64613c82a59c120435c067c2b809fc61cf5166ae"
+deps = ["Artifacts", "JLLWrappers", "Libdl", "Libgpg_error_jll"]
+git-tree-sha1 = "9fd170c4bbfd8b935fdc5f8b7aa33532c991a673"
 uuid = "d4300ac3-e22c-5743-9152-c294e39db1e4"
-version = "1.8.7+0"
+version = "1.8.11+0"
 
 [[deps.Libglvnd_jll]]
 deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libX11_jll", "Xorg_libXext_jll"]
-git-tree-sha1 = "7739f837d6447403596a75d19ed01fd08d6f56bf"
+git-tree-sha1 = "6f73d1dd803986947b2c750138528a999a6c7733"
 uuid = "7e76a0d4-f3c7-5321-8279-8d96eeed0f29"
-version = "1.3.0+3"
+version = "1.6.0+0"
 
 [[deps.Libgpg_error_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "c333716e46366857753e273ce6a69ee0945a6db9"
+deps = ["Artifacts", "JLLWrappers", "Libdl"]
+git-tree-sha1 = "fbb1f2bef882392312feb1ede3615ddc1e9b99ed"
 uuid = "7add5ba3-2f88-524e-9cd5-f83b8a55f7b8"
-version = "1.42.0+0"
+version = "1.49.0+0"
 
 [[deps.Libiconv_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "42b62845d70a619f063a7da093d995ec8e15e778"
+deps = ["Artifacts", "JLLWrappers", "Libdl"]
+git-tree-sha1 = "f9557a255370125b405568f9767d6d195822a175"
 uuid = "94ce4f54-9a6c-5748-9c1c-f9c7231a4531"
-version = "1.16.1+1"
+version = "1.17.0+0"
 
 [[deps.Libmount_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "9c30530bf0effd46e15e0fdcf2b8636e78cbbd73"
+deps = ["Artifacts", "JLLWrappers", "Libdl"]
+git-tree-sha1 = "0c4f9c4f1a50d8f35048fa0532dabbadf702f81e"
 uuid = "4b2f31a3-9ecc-558c-b454-b3730dcb73e9"
-version = "2.35.0+0"
+version = "2.40.1+0"
 
 [[deps.Libtiff_jll]]
-deps = ["Artifacts", "JLLWrappers", "JpegTurbo_jll", "LERC_jll", "Libdl", "Pkg", "Zlib_jll", "Zstd_jll"]
-git-tree-sha1 = "3eb79b0ca5764d4799c06699573fd8f533259713"
+deps = ["Artifacts", "JLLWrappers", "JpegTurbo_jll", "LERC_jll", "Libdl", "XZ_jll", "Zlib_jll", "Zstd_jll"]
+git-tree-sha1 = "2da088d113af58221c52828a80378e16be7d037a"
 uuid = "89763e89-9b03-5906-acba-b20f662cd828"
-version = "4.4.0+0"
+version = "4.5.1+1"
 
 [[deps.Libuuid_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "7f3efec06033682db852f8b3bc3c1d2b0a0ab066"
+deps = ["Artifacts", "JLLWrappers", "Libdl"]
+git-tree-sha1 = "5ee6203157c120d79034c748a2acba45b82b8807"
 uuid = "38a345b3-de98-5d2b-a5d3-14cd9215e700"
-version = "2.36.0+0"
+version = "2.40.1+0"
 
 [[deps.LinearAlgebra]]
-deps = ["Libdl", "libblastrampoline_jll"]
+deps = ["Libdl", "OpenBLAS_jll", "libblastrampoline_jll"]
 uuid = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
 
 [[deps.LogExpFunctions]]
-deps = ["ChainRulesCore", "ChangesOfVariables", "DocStringExtensions", "InverseFunctions", "IrrationalConstants", "LinearAlgebra"]
-git-tree-sha1 = "361c2b088575b07946508f135ac556751240091c"
+deps = ["DocStringExtensions", "IrrationalConstants", "LinearAlgebra"]
+git-tree-sha1 = "18144f3e9cbe9b15b070288eef858f71b291ce37"
 uuid = "2ab3a3ac-af41-5b50-aa03-7779005ae688"
-version = "0.3.17"
+version = "0.3.27"
+
+    [deps.LogExpFunctions.extensions]
+    LogExpFunctionsChainRulesCoreExt = "ChainRulesCore"
+    LogExpFunctionsChangesOfVariablesExt = "ChangesOfVariables"
+    LogExpFunctionsInverseFunctionsExt = "InverseFunctions"
+
+    [deps.LogExpFunctions.weakdeps]
+    ChainRulesCore = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4"
+    ChangesOfVariables = "9e997f8a-9a97-42d5-a9f1-ce6bfc15e2c0"
+    InverseFunctions = "3587e190-3f89-42d0-90ee-14403ec27112"
 
 [[deps.Logging]]
 uuid = "56ddb016-857b-54e1-b83d-db4d58db5568"
 
-[[deps.LossFunctions]]
-deps = ["InteractiveUtils", "Markdown", "RecipesBase"]
-git-tree-sha1 = "53cd63a12f06a43eef6f4aafb910ac755c122be7"
-uuid = "30fc2ffe-d236-52d8-8643-a9d8f7c094a7"
-version = "0.8.0"
+[[deps.LoggingExtras]]
+deps = ["Dates", "Logging"]
+git-tree-sha1 = "c1dd6d7978c12545b4179fb6153b9250c96b0075"
+uuid = "e6f89c97-d47a-5376-807f-9c37f3926c36"
+version = "1.0.3"
 
 [[deps.MAT]]
 deps = ["BufferedStreams", "CodecZlib", "HDF5", "SparseArrays"]
-git-tree-sha1 = "971be550166fe3f604d28715302b58a3f7293160"
+git-tree-sha1 = "1d2dd9b186742b0f317f2530ddcbf00eebb18e96"
 uuid = "23992714-dd62-5051-b70f-ba57cb901cac"
-version = "0.10.3"
+version = "0.10.7"
 
 [[deps.MLDatasets]]
-deps = ["CSV", "DataDeps", "DataFrames", "DelimitedFiles", "FileIO", "FixedPointNumbers", "GZip", "Glob", "HDF5", "ImageShow", "JLD2", "JSON3", "LazyModules", "MAT", "MLUtils", "NPZ", "Pickle", "Requires", "SparseArrays", "Tables"]
-git-tree-sha1 = "6de5b8a75e30d28f0119b31db44a00b6fd905d85"
+deps = ["CSV", "Chemfiles", "DataDeps", "DataFrames", "DelimitedFiles", "FileIO", "FixedPointNumbers", "GZip", "Glob", "HDF5", "ImageShow", "JLD2", "JSON3", "LazyModules", "MAT", "MLUtils", "NPZ", "Pickle", "Printf", "Requires", "SparseArrays", "Statistics", "Tables"]
+git-tree-sha1 = "aab72207b3c687086a400be710650a57494992bd"
 uuid = "eb30cadb-4394-5ae3-aed4-317e484a6458"
-version = "0.7.4"
+version = "0.7.14"
+
+[[deps.MLFlowClient]]
+deps = ["Dates", "FilePathsBase", "HTTP", "JSON", "ShowCases", "URIs", "UUIDs"]
+git-tree-sha1 = "9abb12b62debc27261c008daa13627255bf79967"
+uuid = "64a0f543-368b-4a9a-827a-e71edb2a0b83"
+version = "0.5.1"
 
 [[deps.MLJ]]
-deps = ["CategoricalArrays", "ComputationalResources", "Distributed", "Distributions", "LinearAlgebra", "MLJBase", "MLJEnsembles", "MLJIteration", "MLJModels", "MLJTuning", "OpenML", "Pkg", "ProgressMeter", "Random", "ScientificTypes", "Statistics", "StatsBase", "Tables"]
-git-tree-sha1 = "4199f3ff372222dbdc8602b70f8eefcd1aa06606"
+deps = ["CategoricalArrays", "ComputationalResources", "Distributed", "Distributions", "LinearAlgebra", "MLJBalancing", "MLJBase", "MLJEnsembles", "MLJFlow", "MLJIteration", "MLJModels", "MLJTuning", "OpenML", "Pkg", "ProgressMeter", "Random", "Reexport", "ScientificTypes", "StatisticalMeasures", "Statistics", "StatsBase", "Tables"]
+git-tree-sha1 = "bd2072e9cd65be0a3cb841f3d8cda1d2cacfe5db"
 uuid = "add582a8-e3ab-11e8-2d5e-e98b27df1bc7"
-version = "0.18.4"
+version = "0.20.5"
+
+[[deps.MLJBalancing]]
+deps = ["MLJBase", "MLJModelInterface", "MLUtils", "OrderedCollections", "Random", "StatsBase"]
+git-tree-sha1 = "f02e28f9f3c54a138db12a97a5d823e5e572c2d6"
+uuid = "45f359ea-796d-4f51-95a5-deb1a414c586"
+version = "0.1.4"
 
 [[deps.MLJBase]]
-deps = ["CategoricalArrays", "CategoricalDistributions", "ComputationalResources", "Dates", "DelimitedFiles", "Distributed", "Distributions", "InteractiveUtils", "InvertedIndices", "LinearAlgebra", "LossFunctions", "MLJModelInterface", "Missings", "OrderedCollections", "Parameters", "PrettyTables", "ProgressMeter", "Random", "ScientificTypes", "Serialization", "StatisticalTraits", "Statistics", "StatsBase", "Tables"]
-git-tree-sha1 = "66ab866c0c214fb4bde679ae0af6255b90faa5f6"
+deps = ["CategoricalArrays", "CategoricalDistributions", "ComputationalResources", "Dates", "DelimitedFiles", "Distributed", "Distributions", "InteractiveUtils", "InvertedIndices", "LearnAPI", "LinearAlgebra", "MLJModelInterface", "Missings", "OrderedCollections", "Parameters", "PrettyTables", "ProgressMeter", "Random", "RecipesBase", "Reexport", "ScientificTypes", "Serialization", "StatisticalMeasuresBase", "StatisticalTraits", "Statistics", "StatsBase", "Tables"]
+git-tree-sha1 = "aba2ffd56a9a97027b4102055dd9f909a6e35d12"
 uuid = "a7f614a8-145f-11e9-1d2a-a57a1082229d"
-version = "0.20.17"
+version = "1.3.0"
+weakdeps = ["StatisticalMeasures"]
+
+    [deps.MLJBase.extensions]
+    DefaultMeasuresExt = "StatisticalMeasures"
 
 [[deps.MLJEnsembles]]
-deps = ["CategoricalArrays", "CategoricalDistributions", "ComputationalResources", "Distributed", "Distributions", "MLJBase", "MLJModelInterface", "ProgressMeter", "Random", "ScientificTypesBase", "StatsBase"]
-git-tree-sha1 = "ed2f724be26d0023cade9d59b55da93f528c3f26"
+deps = ["CategoricalArrays", "CategoricalDistributions", "ComputationalResources", "Distributed", "Distributions", "MLJModelInterface", "ProgressMeter", "Random", "ScientificTypesBase", "StatisticalMeasuresBase", "StatsBase"]
+git-tree-sha1 = "d3dd87194ec96892bb243b65225a462c7ab16e66"
 uuid = "50ed68f4-41fd-4504-931a-ed422449fee0"
-version = "0.3.1"
+version = "0.4.2"
+
+[[deps.MLJFlow]]
+deps = ["MLFlowClient", "MLJBase", "MLJModelInterface"]
+git-tree-sha1 = "508bff8071d7d1902d6f1b9d1e868d58821f1cfe"
+uuid = "7b7b8358-b45c-48ea-a8ef-7ca328ad328f"
+version = "0.5.0"
 
 [[deps.MLJFlux]]
-deps = ["CategoricalArrays", "ColorTypes", "ComputationalResources", "Flux", "MLJModelInterface", "ProgressMeter", "Random", "Statistics", "Tables"]
-git-tree-sha1 = "a47257705ebca405a25320b111345a978925bcd5"
+deps = ["CategoricalArrays", "ColorTypes", "ComputationalResources", "Flux", "MLJModelInterface", "Metalhead", "ProgressMeter", "Random", "Statistics", "Tables"]
+git-tree-sha1 = "72935b7de07a7f6b72fd49ecc7898dac79248d46"
 uuid = "094fc8d1-fd35-5302-93ea-dabda2abf845"
-version = "0.2.7"
+version = "0.4.0"
 
 [[deps.MLJIteration]]
 deps = ["IterationControl", "MLJBase", "Random", "Serialization"]
-git-tree-sha1 = "024d0bd22bf4a5b273f626e89d742a9db95285ef"
+git-tree-sha1 = "1e909ee09417ebd18559c4d9c15febff887192df"
 uuid = "614be32b-d00c-4edb-bd02-1eb411ab5e55"
-version = "0.5.0"
+version = "0.6.1"
 
 [[deps.MLJModelInterface]]
 deps = ["Random", "ScientificTypesBase", "StatisticalTraits"]
-git-tree-sha1 = "16fa7c2e14aa5b3854bc77ab5f1dbe2cdc488903"
+git-tree-sha1 = "d2a45e1b5998ba3fdfb6cfe0c81096d4c7fb40e7"
 uuid = "e80e1ace-859a-464e-9ed9-23947d8ae3ea"
-version = "1.6.0"
+version = "1.9.6"
 
 [[deps.MLJModels]]
-deps = ["CategoricalArrays", "CategoricalDistributions", "Dates", "Distances", "Distributions", "InteractiveUtils", "LinearAlgebra", "MLJModelInterface", "Markdown", "OrderedCollections", "Parameters", "Pkg", "PrettyPrinting", "REPL", "Random", "ScientificTypes", "StatisticalTraits", "Statistics", "StatsBase", "Tables"]
-git-tree-sha1 = "8291b42d6bf744dda0bfb16b6f0befbae232a1fa"
+deps = ["CategoricalArrays", "CategoricalDistributions", "Combinatorics", "Dates", "Distances", "Distributions", "InteractiveUtils", "LinearAlgebra", "MLJModelInterface", "Markdown", "OrderedCollections", "Parameters", "Pkg", "PrettyPrinting", "REPL", "Random", "RelocatableFolders", "ScientificTypes", "StatisticalTraits", "Statistics", "StatsBase", "Tables"]
+git-tree-sha1 = "410da88e0e6ece5467293d2c76b51b7c6df7d072"
 uuid = "d491faf4-2d78-11e9-2867-c94bc002c0b7"
-version = "0.15.9"
+version = "0.16.17"
 
 [[deps.MLJTuning]]
-deps = ["ComputationalResources", "Distributed", "Distributions", "LatinHypercubeSampling", "MLJBase", "ProgressMeter", "Random", "RecipesBase"]
-git-tree-sha1 = "e1d0220d8bf5c17270cef41835ed57f88d63579d"
+deps = ["ComputationalResources", "Distributed", "Distributions", "LatinHypercubeSampling", "MLJBase", "ProgressMeter", "Random", "RecipesBase", "StatisticalMeasuresBase"]
+git-tree-sha1 = "efb9ec087ab9589afad0002e69fdd9cd38ef1643"
 uuid = "03970b2e-30c4-11ea-3135-d1576263f10f"
-version = "0.7.2"
+version = "0.8.6"
 
 [[deps.MLStyle]]
-git-tree-sha1 = "c4f433356372cc8838da59e3608be4b0c4c2c280"
+git-tree-sha1 = "bc38dff0548128765760c79eb7388a4b37fae2c8"
 uuid = "d8e11817-5142-5d16-987a-aa16d5891078"
-version = "0.4.13"
+version = "0.4.17"
 
 [[deps.MLUtils]]
-deps = ["ChainRulesCore", "DelimitedFiles", "FLoops", "FoldsThreads", "Random", "ShowCases", "Statistics", "StatsBase", "Transducers"]
-git-tree-sha1 = "7fd41b7edef1d58062a75c2f129e839a8d168fe9"
+deps = ["ChainRulesCore", "Compat", "DataAPI", "DelimitedFiles", "FLoops", "NNlib", "Random", "ShowCases", "SimpleTraits", "Statistics", "StatsBase", "Tables", "Transducers"]
+git-tree-sha1 = "b45738c2e3d0d402dffa32b2c1654759a2ac35a4"
 uuid = "f1d291b0-491e-4a28-83b9-f70985020b54"
-version = "0.2.10"
+version = "0.4.4"
+
+[[deps.MPICH_jll]]
+deps = ["Artifacts", "CompilerSupportLibraries_jll", "Hwloc_jll", "JLLWrappers", "LazyArtifacts", "Libdl", "MPIPreferences", "TOML"]
+git-tree-sha1 = "4099bb6809ac109bfc17d521dad33763bcf026b7"
+uuid = "7cb0a576-ebde-5e09-9194-50597f1243b4"
+version = "4.2.1+1"
+
+[[deps.MPIPreferences]]
+deps = ["Libdl", "Preferences"]
+git-tree-sha1 = "c105fe467859e7f6e9a852cb15cb4301126fac07"
+uuid = "3da0fdf6-3ccc-4f1b-acd9-58baa6c99267"
+version = "0.1.11"
+
+[[deps.MPItrampoline_jll]]
+deps = ["Artifacts", "CompilerSupportLibraries_jll", "JLLWrappers", "LazyArtifacts", "Libdl", "MPIPreferences", "TOML"]
+git-tree-sha1 = "ce0ca3dd147c43de175c5aff161315a424f4b8ac"
+uuid = "f1f71cc9-e9ae-5b93-9b94-4fe0e1ad3748"
+version = "5.3.3+1"
 
 [[deps.MacroTools]]
 deps = ["Markdown", "Random"]
-git-tree-sha1 = "3d3e902b31198a27340d0bf00d6ac452866021cf"
+git-tree-sha1 = "2fa9ee3e63fd3a4f7a9a4f4744a52f4856de82df"
 uuid = "1914dd2f-81c6-5fcd-8719-6d5c9610ff09"
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 [[deps.MappedArrays]]
-git-tree-sha1 = "e8b359ef06ec72e8c030463fe02efe5527ee5142"
+git-tree-sha1 = "2dab0221fe2b0f2cb6754eaa743cc266339f527e"
 uuid = "dbb5928d-eab1-5f90-85c2-b9b0edb7c900"
-version = "0.4.1"
-
-[[deps.MarchingCubes]]
-deps = ["StaticArrays"]
-git-tree-sha1 = "3bf4baa9df7d1367168ebf60ed02b0379ea91099"
-uuid = "299715c1-40a9-479a-aaf9-4a633d36f717"
-version = "0.1.3"
+version = "0.4.2"
 
 [[deps.Markdown]]
 deps = ["Base64"]
 uuid = "d6f4376e-aef5-505a-96c1-9c027394607a"
 
 [[deps.MbedTLS]]
-deps = ["Dates", "MbedTLS_jll", "MozillaCACerts_jll", "Random", "Sockets"]
-git-tree-sha1 = "d9ab10da9de748859a7780338e1d6566993d1f25"
+deps = ["Dates", "MbedTLS_jll", "MozillaCACerts_jll", "NetworkOptions", "Random", "Sockets"]
+git-tree-sha1 = "c067a280ddc25f196b5e7df3877c6b226d390aaf"
 uuid = "739be429-bea8-5141-9913-cc70e7f3736d"
-version = "1.1.3"
+version = "1.1.9"
 
 [[deps.MbedTLS_jll]]
 deps = ["Artifacts", "Libdl"]
 uuid = "c8ffd9c3-330d-5841-b78e-0817d7145fa1"
+version = "2.28.2+1"
 
 [[deps.Measures]]
-git-tree-sha1 = "e498ddeee6f9fdb4551ce855a46f54dbd900245f"
+git-tree-sha1 = "c13304c81eec1ed3af7fc20e75fb6b26092a1102"
 uuid = "442fdcdd-2543-5da2-b0f3-8c86c306513e"
-version = "0.3.1"
+version = "0.3.2"
+
+[[deps.Metalhead]]
+deps = ["Artifacts", "BSON", "ChainRulesCore", "Flux", "Functors", "JLD2", "LazyArtifacts", "MLUtils", "NNlib", "PartialFunctions", "Random", "Statistics"]
+git-tree-sha1 = "5aac9a2b511afda7bf89df5044a2e0b429f83152"
+uuid = "dbeba491-748d-5e0e-a39e-b530a07fa0cc"
+version = "0.9.3"
+weakdeps = ["CUDA"]
+
+    [deps.Metalhead.extensions]
+    MetalheadCUDAExt = "CUDA"
 
 [[deps.MicroCollections]]
 deps = ["BangBang", "InitialValues", "Setfield"]
-git-tree-sha1 = "6bb7786e4f24d44b4e29df03c69add1b63d88f01"
+git-tree-sha1 = "629afd7d10dbc6935ec59b32daeb33bc4460a42e"
 uuid = "128add7d-3638-4c79-886c-908ea0c25c34"
-version = "0.1.2"
+version = "0.1.4"
+
+[[deps.MicrosoftMPI_jll]]
+deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
+git-tree-sha1 = "f12a29c4400ba812841c6ace3f4efbb6dbb3ba01"
+uuid = "9237b28f-5490-5468-be7b-bb81f5f5e6cf"
+version = "10.1.4+2"
 
 [[deps.Missings]]
 deps = ["DataAPI"]
-git-tree-sha1 = "bf210ce90b6c9eed32d25dbcae1ebc565df2687f"
+git-tree-sha1 = "ec4f7fbeab05d7747bdf98eb74d130a2a2ed298d"
 uuid = "e1d29d7a-bbdc-5cf2-9ac0-f12de2c33e28"
-version = "1.0.2"
+version = "1.2.0"
 
 [[deps.Mmap]]
 uuid = "a63ad114-7e13-5084-954f-fe012c677804"
 
 [[deps.MosaicViews]]
 deps = ["MappedArrays", "OffsetArrays", "PaddedViews", "StackViews"]
-git-tree-sha1 = "b34e3bc3ca7c94914418637cb10cc4d1d80d877d"
+git-tree-sha1 = "7b86a5d4d70a9f5cdf2dacb3cbe6d251d1a61dbe"
 uuid = "e94cdb99-869f-56ef-bcf0-1ae2bcbe0389"
-version = "0.3.3"
+version = "0.3.4"
 
 [[deps.MozillaCACerts_jll]]
 uuid = "14a3606d-f60d-562e-9121-12d972cd8159"
+version = "2023.1.10"
 
 [[deps.NNlib]]
-deps = ["Adapt", "ChainRulesCore", "LinearAlgebra", "Pkg", "Requires", "Statistics"]
-git-tree-sha1 = "415108fd88d6f55cedf7ee940c7d4b01fad85421"
+deps = ["Adapt", "Atomix", "ChainRulesCore", "GPUArraysCore", "KernelAbstractions", "LinearAlgebra", "Pkg", "Random", "Requires", "Statistics"]
+git-tree-sha1 = "3d4617f943afe6410206a5294a95948c8d1b35bd"
 uuid = "872c559c-99b0-510c-b3b7-b6c96a88d5cd"
-version = "0.8.9"
+version = "0.9.17"
 
-[[deps.NNlibCUDA]]
-deps = ["Adapt", "CUDA", "LinearAlgebra", "NNlib", "Random", "Statistics"]
-git-tree-sha1 = "4429261364c5ea5b7308aecaa10e803ace101631"
-uuid = "a00861dc-f156-4864-bf3c-e6376f28a68d"
-version = "0.2.4"
+    [deps.NNlib.extensions]
+    NNlibAMDGPUExt = "AMDGPU"
+    NNlibCUDACUDNNExt = ["CUDA", "cuDNN"]
+    NNlibCUDAExt = "CUDA"
+    NNlibEnzymeCoreExt = "EnzymeCore"
+
+    [deps.NNlib.weakdeps]
+    AMDGPU = "21141c5a-9bdb-4563-92ae-f87d6854732e"
+    CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
+    EnzymeCore = "f151be2c-9106-41f4-ab19-57ee4f262869"
+    cuDNN = "02a925ec-e4fe-4b08-9a7e-0d78e3d38ccd"
 
 [[deps.NPZ]]
-deps = ["Compat", "FileIO", "ZipFile"]
-git-tree-sha1 = "45f77b87cb9ed5b519f31e1590258930f3b840ee"
+deps = ["FileIO", "ZipFile"]
+git-tree-sha1 = "60a8e272fe0c5079363b28b0953831e2dd7b7e6f"
 uuid = "15e1cf62-19b3-5cfa-8e77-841668bca605"
-version = "0.4.2"
+version = "0.4.3"
+
+[[deps.NVTX]]
+deps = ["Colors", "JuliaNVTXCallbacks_jll", "Libdl", "NVTX_jll"]
+git-tree-sha1 = "53046f0483375e3ed78e49190f1154fa0a4083a1"
+uuid = "5da4648a-3479-48b8-97b9-01cb529c0a1f"
+version = "0.3.4"
+
+[[deps.NVTX_jll]]
+deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
+git-tree-sha1 = "ce3269ed42816bf18d500c9f63418d4b0d9f5a3b"
+uuid = "e98f9f5b-d649-5603-91fd-7774390e6439"
+version = "3.1.0+2"
 
 [[deps.NaNMath]]
 deps = ["OpenLibm_jll"]
-git-tree-sha1 = "a7c3d1da1189a1c2fe843a3bfa04d18d20eb3211"
+git-tree-sha1 = "0877504529a3e5c3343c6f8b4c0381e57e4387e4"
 uuid = "77ba4419-2d1f-58cd-9bb1-8ffee604a2e3"
-version = "1.0.1"
+version = "1.0.2"
 
 [[deps.NameResolution]]
 deps = ["PrettyPrint"]
@@ -1009,12 +1272,16 @@ version = "0.1.5"
 
 [[deps.NetworkOptions]]
 uuid = "ca575930-c2e3-43a9-ace4-1e988b2c1908"
+version = "1.2.0"
 
 [[deps.OffsetArrays]]
-deps = ["Adapt"]
-git-tree-sha1 = "1ea784113a6aa054c5ebd95945fa5e52c2f378e7"
+git-tree-sha1 = "e64b4f5ea6b7389f6f046d13d4896a8f9c1ba71e"
 uuid = "6fe1bfb0-de20-5000-8ca7-80f57d26f881"
-version = "1.12.7"
+version = "1.14.0"
+weakdeps = ["Adapt"]
+
+    [deps.OffsetArrays.extensions]
+    OffsetArraysAdaptExt = "Adapt"
 
 [[deps.Ogg_jll]]
 deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
@@ -1022,25 +1289,45 @@ git-tree-sha1 = "887579a3eb005446d514ab7aeac5d1d027658b8f"
 uuid = "e7412a2a-1a6e-54c0-be00-318e2571c051"
 version = "1.3.5+1"
 
+[[deps.OneHotArrays]]
+deps = ["Adapt", "ChainRulesCore", "Compat", "GPUArraysCore", "LinearAlgebra", "NNlib"]
+git-tree-sha1 = "963a3f28a2e65bb87a68033ea4a616002406037d"
+uuid = "0b1bfda6-eb8a-41d2-88d8-f5af5cad476f"
+version = "0.2.5"
+
 [[deps.OpenBLAS_jll]]
 deps = ["Artifacts", "CompilerSupportLibraries_jll", "Libdl"]
 uuid = "4536629a-c528-5b80-bd46-f80d51c5b363"
+version = "0.3.23+4"
 
 [[deps.OpenLibm_jll]]
 deps = ["Artifacts", "Libdl"]
 uuid = "05823500-19ac-5b8b-9628-191a04bc5112"
+version = "0.8.1+2"
 
 [[deps.OpenML]]
-deps = ["ARFFFiles", "HTTP", "JSON", "Markdown", "Pkg"]
-git-tree-sha1 = "06080992e86a93957bfe2e12d3181443cedf2400"
+deps = ["ARFFFiles", "HTTP", "JSON", "Markdown", "Pkg", "Scratch"]
+git-tree-sha1 = "6efb039ae888699d5a74fb593f6f3e10c7193e33"
 uuid = "8b6db2d4-7670-4922-a472-f9537c81ab66"
-version = "0.2.0"
+version = "0.3.1"
+
+[[deps.OpenMPI_jll]]
+deps = ["Artifacts", "CompilerSupportLibraries_jll", "JLLWrappers", "LazyArtifacts", "Libdl", "MPIPreferences", "TOML"]
+git-tree-sha1 = "e25c1778a98e34219a00455d6e4384e017ea9762"
+uuid = "fe0851c0-eecd-5654-98d4-656369965a5c"
+version = "4.1.6+0"
+
+[[deps.OpenSSL]]
+deps = ["BitFlags", "Dates", "MozillaCACerts_jll", "OpenSSL_jll", "Sockets"]
+git-tree-sha1 = "38cb508d080d21dc1128f7fb04f20387ed4c0af4"
+uuid = "4d8831e6-92b7-49fb-bdf8-b643e874388c"
+version = "1.4.3"
 
 [[deps.OpenSSL_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "e60321e3f2616584ff98f0a4f18d98ae6f89bbb3"
+deps = ["Artifacts", "JLLWrappers", "Libdl"]
+git-tree-sha1 = "3da7367955dcc5c54c1ba4d402ccdc09a1a3e046"
 uuid = "458c3c95-2e84-50aa-8efc-19380b2a3a95"
-version = "1.1.17+0"
+version = "3.0.13+1"
 
 [[deps.OpenSpecFun_jll]]
 deps = ["Artifacts", "CompilerSupportLibraries_jll", "JLLWrappers", "Libdl", "Pkg"]
@@ -1050,9 +1337,9 @@ version = "0.5.5+0"
 
 [[deps.Optimisers]]
 deps = ["ChainRulesCore", "Functors", "LinearAlgebra", "Random", "Statistics"]
-git-tree-sha1 = "1ef34738708e3f31994b52693286dabcb3d29f6b"
+git-tree-sha1 = "6572fe0c5b74431aaeb0b18a4aa5ef03c84678be"
 uuid = "3bd65402-5787-11e9-1adc-39752487f4e2"
-version = "0.2.9"
+version = "0.3.3"
 
 [[deps.Opus_jll]]
 deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
@@ -1061,27 +1348,32 @@ uuid = "91d4177d-7536-5919-b921-800302f37372"
 version = "1.3.2+0"
 
 [[deps.OrderedCollections]]
-git-tree-sha1 = "85f8e6578bf1f9ee0d11e7bb1b1456435479d47c"
+git-tree-sha1 = "dfdf5519f235516220579f949664f1bf44e741c5"
 uuid = "bac558e1-5e72-5ebc-8fee-abe8a469f55d"
-version = "1.4.1"
+version = "1.6.3"
 
-[[deps.PCRE_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "b2a7af664e098055a7529ad1a900ded962bca488"
-uuid = "2f80f16e-611a-54ab-bc61-aa92de5b98fc"
-version = "8.44.0+0"
+[[deps.PCRE2_jll]]
+deps = ["Artifacts", "Libdl"]
+uuid = "efcefdf7-47ab-520b-bdef-62a2eaa19f15"
+version = "10.42.0+1"
 
 [[deps.PDMats]]
 deps = ["LinearAlgebra", "SparseArrays", "SuiteSparse"]
-git-tree-sha1 = "cf494dca75a69712a72b80bc48f59dcf3dea63ec"
+git-tree-sha1 = "949347156c25054de2db3b166c52ac4728cbad65"
 uuid = "90014a1f-27ba-587c-ab20-58faa44d9150"
-version = "0.11.16"
+version = "0.11.31"
+
+[[deps.PackageExtensionCompat]]
+git-tree-sha1 = "fb28e33b8a95c4cee25ce296c817d89cc2e53518"
+uuid = "65ce6f38-6b18-4e1d-a461-8949797d7930"
+version = "1.0.2"
+weakdeps = ["Requires", "TOML"]
 
 [[deps.PaddedViews]]
 deps = ["OffsetArrays"]
-git-tree-sha1 = "03a7a85b76381a3d04c7a1656039197e70eda03d"
+git-tree-sha1 = "0fac6313486baae819364c52b4f483450a9d793f"
 uuid = "5432bcbf-9aad-5242-b902-cca2824c8663"
-version = "0.5.11"
+version = "0.5.12"
 
 [[deps.Parameters]]
 deps = ["OrderedCollections", "UnPack"]
@@ -1090,56 +1382,94 @@ uuid = "d96e819e-fc66-5662-9728-84c9c7592b0a"
 version = "0.12.3"
 
 [[deps.Parsers]]
-deps = ["Dates"]
-git-tree-sha1 = "0044b23da09b5608b4ecacb4e5e6c6332f833a7e"
+deps = ["Dates", "PrecompileTools", "UUIDs"]
+git-tree-sha1 = "8489905bcdbcfac64d1daa51ca07c0d8f0283821"
 uuid = "69de0a69-1ddd-5017-9359-2bf0b02dc9f0"
-version = "2.3.2"
+version = "2.8.1"
+
+[[deps.PartialFunctions]]
+deps = ["MacroTools"]
+git-tree-sha1 = "47b49a4dbc23b76682205c646252c0f9e1eb75af"
+uuid = "570af359-4316-4cb7-8c74-252c00c2016b"
+version = "1.2.0"
+
+[[deps.PeriodicTable]]
+deps = ["Base64", "Unitful"]
+git-tree-sha1 = "238aa6298007565529f911b734e18addd56985e1"
+uuid = "7b2266bf-644c-5ea3-82d8-af4bbd25a884"
+version = "1.2.1"
 
 [[deps.Pickle]]
-deps = ["DataStructures", "InternedStrings", "Serialization", "SparseArrays", "Strided", "StringEncodings", "ZipFile"]
-git-tree-sha1 = "e6a34eb1dc0c498f0774bbfbbbeff2de101f4235"
+deps = ["BFloat16s", "DataStructures", "InternedStrings", "Mmap", "Serialization", "SparseArrays", "StridedViews", "StringEncodings", "ZipFile"]
+git-tree-sha1 = "e99da19b86b7e1547b423fc1721b260cfbe83acb"
 uuid = "fbb45041-c46e-462f-888f-7c521cafbc2c"
-version = "0.3.2"
+version = "0.3.5"
+
+[[deps.Pipe]]
+git-tree-sha1 = "6842804e7867b115ca9de748a0cf6b364523c16d"
+uuid = "b98c9c47-44ae-5843-9183-064241ee97a0"
+version = "1.3.0"
 
 [[deps.Pixman_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "b4f5d02549a10e20780a24fce72bea96b6329e29"
+deps = ["Artifacts", "CompilerSupportLibraries_jll", "JLLWrappers", "LLVMOpenMP_jll", "Libdl"]
+git-tree-sha1 = "35621f10a7531bc8fa58f74610b1bfb70a3cfc6b"
 uuid = "30392449-352a-5448-841d-b1acce4e97dc"
-version = "0.40.1+0"
+version = "0.43.4+0"
 
 [[deps.Pkg]]
-deps = ["Artifacts", "Dates", "Downloads", "LibGit2", "Libdl", "Logging", "Markdown", "Printf", "REPL", "Random", "SHA", "Serialization", "TOML", "Tar", "UUIDs", "p7zip_jll"]
+deps = ["Artifacts", "Dates", "Downloads", "FileWatching", "LibGit2", "Libdl", "Logging", "Markdown", "Printf", "REPL", "Random", "SHA", "Serialization", "TOML", "Tar", "UUIDs", "p7zip_jll"]
 uuid = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
+version = "1.10.0"
 
 [[deps.PlotThemes]]
 deps = ["PlotUtils", "Statistics"]
-git-tree-sha1 = "8162b2f8547bc23876edd0c5181b27702ae58dce"
+git-tree-sha1 = "1f03a2d339f42dca4a4da149c7e15e9b896ad899"
 uuid = "ccf2f8ad-2431-5c83-bf29-c5338b663b6a"
-version = "3.0.0"
+version = "3.1.0"
 
 [[deps.PlotUtils]]
-deps = ["ColorSchemes", "Colors", "Dates", "Printf", "Random", "Reexport", "Statistics"]
-git-tree-sha1 = "9888e59493658e476d3073f1ce24348bdc086660"
+deps = ["ColorSchemes", "Colors", "Dates", "PrecompileTools", "Printf", "Random", "Reexport", "Statistics"]
+git-tree-sha1 = "7b1a9df27f072ac4c9c7cbe5efb198489258d1f5"
 uuid = "995b91a9-d308-5afd-9ec6-746e21dbc043"
-version = "1.3.0"
+version = "1.4.1"
 
 [[deps.Plots]]
-deps = ["Base64", "Contour", "Dates", "Downloads", "FFMPEG", "FixedPointNumbers", "GR", "GeometryBasics", "JSON", "LaTeXStrings", "Latexify", "LinearAlgebra", "Measures", "NaNMath", "Pkg", "PlotThemes", "PlotUtils", "Printf", "REPL", "Random", "RecipesBase", "RecipesPipeline", "Reexport", "Requires", "Scratch", "Showoff", "SparseArrays", "Statistics", "StatsBase", "UUIDs", "UnicodeFun", "Unzip"]
-git-tree-sha1 = "a19652399f43938413340b2068e11e55caa46b65"
+deps = ["Base64", "Contour", "Dates", "Downloads", "FFMPEG", "FixedPointNumbers", "GR", "JLFzf", "JSON", "LaTeXStrings", "Latexify", "LinearAlgebra", "Measures", "NaNMath", "Pkg", "PlotThemes", "PlotUtils", "PrecompileTools", "Printf", "REPL", "Random", "RecipesBase", "RecipesPipeline", "Reexport", "RelocatableFolders", "Requires", "Scratch", "Showoff", "SparseArrays", "Statistics", "StatsBase", "UUIDs", "UnicodeFun", "UnitfulLatexify", "Unzip"]
+git-tree-sha1 = "442e1e7ac27dd5ff8825c3fa62fbd1e86397974b"
 uuid = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
-version = "1.31.7"
+version = "1.40.4"
+
+    [deps.Plots.extensions]
+    FileIOExt = "FileIO"
+    GeometryBasicsExt = "GeometryBasics"
+    IJuliaExt = "IJulia"
+    ImageInTerminalExt = "ImageInTerminal"
+    UnitfulExt = "Unitful"
+
+    [deps.Plots.weakdeps]
+    FileIO = "5789e2e9-d7fb-5bc7-8068-2c6fae9b9549"
+    GeometryBasics = "5c1252a2-5f33-56bf-86c9-59e7332b4326"
+    IJulia = "7073ff75-c697-5162-941a-fcdaad2a7d2a"
+    ImageInTerminal = "d8c32880-2388-543b-8c61-d9f865259254"
+    Unitful = "1986cc42-f94f-5a68-af5c-568840ba703d"
 
 [[deps.PooledArrays]]
 deps = ["DataAPI", "Future"]
-git-tree-sha1 = "a6062fe4063cdafe78f4a0a81cfffb89721b30e7"
+git-tree-sha1 = "36d8b4b899628fb92c2749eb488d884a926614d3"
 uuid = "2dfb63ee-cc39-5dd5-95bd-886bf059d720"
-version = "1.4.2"
+version = "1.4.3"
+
+[[deps.PrecompileTools]]
+deps = ["Preferences"]
+git-tree-sha1 = "5aa36f7049a63a1528fe8f7c3f2113413ffd4e1f"
+uuid = "aea7be01-6a6a-4083-8856-8a6e6704d82a"
+version = "1.2.1"
 
 [[deps.Preferences]]
 deps = ["TOML"]
-git-tree-sha1 = "47e5f437cc0e7ef2ce8406ce1e7e24d44915f88d"
+git-tree-sha1 = "9306f6085165d270f7e3db02af26a400d580f5c6"
 uuid = "21216c6a-2e73-6563-6e65-726566657250"
-version = "1.3.0"
+version = "1.4.3"
 
 [[deps.PrettyPrint]]
 git-tree-sha1 = "632eb4abab3449ab30c5e1afaa874f0b98b586e4"
@@ -1147,15 +1477,15 @@ uuid = "8162dcfd-2161-5ef2-ae6c-7681170c5f98"
 version = "0.2.0"
 
 [[deps.PrettyPrinting]]
-git-tree-sha1 = "4be53d093e9e37772cc89e1009e8f6ad10c4681b"
+git-tree-sha1 = "142ee93724a9c5d04d78df7006670a93ed1b244e"
 uuid = "54e16d92-306c-5ea0-a30b-337be88ac337"
-version = "0.4.0"
+version = "0.4.2"
 
 [[deps.PrettyTables]]
-deps = ["Crayons", "Formatting", "Markdown", "Reexport", "Tables"]
-git-tree-sha1 = "dfb54c4e414caa595a1f2ed759b160f5a3ddcba5"
+deps = ["Crayons", "LaTeXStrings", "Markdown", "PrecompileTools", "Printf", "Reexport", "StringManipulation", "Tables"]
+git-tree-sha1 = "66b20dd35966a748321d3b2537c4584cf40387c7"
 uuid = "08abe8d2-0d0c-5749-adfa-8a2ac140af0d"
-version = "1.3.1"
+version = "2.3.2"
 
 [[deps.Printf]]
 deps = ["Unicode"]
@@ -1169,35 +1499,40 @@ version = "0.1.4"
 
 [[deps.ProgressMeter]]
 deps = ["Distributed", "Printf"]
-git-tree-sha1 = "d7a7aef8f8f2d537104f170139553b14dfe39fe9"
+git-tree-sha1 = "763a8ceb07833dd51bb9e3bbca372de32c0605ad"
 uuid = "92933f4c-e287-5a05-a399-4b506db050ca"
-version = "1.7.2"
+version = "1.10.0"
 
-[[deps.Qt5Base_jll]]
-deps = ["Artifacts", "CompilerSupportLibraries_jll", "Fontconfig_jll", "Glib_jll", "JLLWrappers", "Libdl", "Libglvnd_jll", "OpenSSL_jll", "Pkg", "Xorg_libXext_jll", "Xorg_libxcb_jll", "Xorg_xcb_util_image_jll", "Xorg_xcb_util_keysyms_jll", "Xorg_xcb_util_renderutil_jll", "Xorg_xcb_util_wm_jll", "Zlib_jll", "xkbcommon_jll"]
-git-tree-sha1 = "c6c0f690d0cc7caddb74cef7aa847b824a16b256"
-uuid = "ea2cea3b-5b76-57ae-a6ef-0a8af62496e1"
-version = "5.15.3+1"
+[[deps.PtrArrays]]
+git-tree-sha1 = "f011fbb92c4d401059b2212c05c0601b70f8b759"
+uuid = "43287f4e-b6f4-7ad1-bb20-aadabca52c3d"
+version = "1.2.0"
+
+[[deps.Qt6Base_jll]]
+deps = ["Artifacts", "CompilerSupportLibraries_jll", "Fontconfig_jll", "Glib_jll", "JLLWrappers", "Libdl", "Libglvnd_jll", "OpenSSL_jll", "Vulkan_Loader_jll", "Xorg_libSM_jll", "Xorg_libXext_jll", "Xorg_libXrender_jll", "Xorg_libxcb_jll", "Xorg_xcb_util_cursor_jll", "Xorg_xcb_util_image_jll", "Xorg_xcb_util_keysyms_jll", "Xorg_xcb_util_renderutil_jll", "Xorg_xcb_util_wm_jll", "Zlib_jll", "libinput_jll", "xkbcommon_jll"]
+git-tree-sha1 = "37b7bb7aabf9a085e0044307e1717436117f2b3b"
+uuid = "c0090381-4147-56d7-9ebc-da0b1113ec56"
+version = "6.5.3+1"
 
 [[deps.QuadGK]]
 deps = ["DataStructures", "LinearAlgebra"]
-git-tree-sha1 = "78aadffb3efd2155af139781b8a8df1ef279ea39"
+git-tree-sha1 = "9b23c31e76e333e6fb4c1595ae6afa74966a729e"
 uuid = "1fd47b50-473d-5c70-9696-f719f8f3bcdc"
-version = "2.4.2"
+version = "2.9.4"
 
 [[deps.REPL]]
 deps = ["InteractiveUtils", "Markdown", "Sockets", "Unicode"]
 uuid = "3fa0cd96-eef1-5676-8a61-b3b8758bbffb"
 
 [[deps.Random]]
-deps = ["SHA", "Serialization"]
+deps = ["SHA"]
 uuid = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 
 [[deps.Random123]]
 deps = ["Random", "RandomNumbers"]
-git-tree-sha1 = "7a1a306b72cfa60634f03a911405f4e64d1b718b"
+git-tree-sha1 = "4743b43e5a9c4a2ede372de7061eed81795b12e7"
 uuid = "74087812-796a-5b5d-8853-05524746bad3"
-version = "1.6.0"
+version = "1.7.0"
 
 [[deps.RandomNumbers]]
 deps = ["Random", "Requires"]
@@ -1212,15 +1547,16 @@ uuid = "c1ae055f-0cd5-4b69-90a6-9a35b1a98df9"
 version = "0.1.0"
 
 [[deps.RecipesBase]]
-git-tree-sha1 = "6bf3f380ff52ce0832ddd3a2a7b9538ed1bcca7d"
+deps = ["PrecompileTools"]
+git-tree-sha1 = "5c3d09cc4f31f5fc6af001c250bf1278733100ff"
 uuid = "3cdcf5f2-1ef4-517c-9805-6587b60abb01"
-version = "1.2.1"
+version = "1.3.4"
 
 [[deps.RecipesPipeline]]
-deps = ["Dates", "NaNMath", "PlotUtils", "RecipesBase"]
-git-tree-sha1 = "e7eac76a958f8664f2718508435d058168c7953d"
+deps = ["Dates", "NaNMath", "PlotUtils", "PrecompileTools", "RecipesBase"]
+git-tree-sha1 = "45cf9fd0ca5839d06ef333c8201714e888486342"
 uuid = "01d81517-befc-4cb6-b9ec-a95719d0359c"
-version = "0.6.3"
+version = "0.6.12"
 
 [[deps.Reexport]]
 git-tree-sha1 = "45e428421666073eab6f2da5c9d310d99bb12f9b"
@@ -1229,9 +1565,9 @@ version = "1.2.2"
 
 [[deps.RelocatableFolders]]
 deps = ["SHA", "Scratch"]
-git-tree-sha1 = "22c5201127d7b243b9ee1de3b43c408879dff60f"
+git-tree-sha1 = "ffdaf70d81cf6ff22c2b6e733c900c3321cab864"
 uuid = "05181044-ff0b-4ac5-8273-598c1e38db00"
-version = "0.3.0"
+version = "1.0.1"
 
 [[deps.Requires]]
 deps = ["UUIDs"]
@@ -1241,24 +1577,25 @@ version = "1.3.0"
 
 [[deps.Rmath]]
 deps = ["Random", "Rmath_jll"]
-git-tree-sha1 = "bf3188feca147ce108c76ad82c2792c57abe7b1f"
+git-tree-sha1 = "f65dcb5fa46aee0cf9ed6274ccbd597adc49aa7b"
 uuid = "79098fc4-a85e-5d69-aa6a-4863f24498fa"
-version = "0.7.0"
+version = "0.7.1"
 
 [[deps.Rmath_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "68db32dff12bb6127bac73c209881191bf0efbb7"
+deps = ["Artifacts", "JLLWrappers", "Libdl"]
+git-tree-sha1 = "d483cd324ce5cf5d61b77930f0bbd6cb61927d21"
 uuid = "f50d1b31-88e8-58de-be2c-1cc44531875f"
-version = "0.3.0+0"
+version = "0.4.2+0"
 
 [[deps.SHA]]
 uuid = "ea8e919c-243c-51af-8825-aaa63cd721ce"
+version = "0.7.0"
 
 [[deps.ScientificTypes]]
 deps = ["CategoricalArrays", "ColorTypes", "Dates", "Distributions", "PrettyTables", "Reexport", "ScientificTypesBase", "StatisticalTraits", "Tables"]
-git-tree-sha1 = "ba70c9a6e4c81cc3634e3e80bb8163ab5ef57eb8"
+git-tree-sha1 = "75ccd10ca65b939dab03b812994e571bf1e3e1da"
 uuid = "321657f4-b219-11e9-178b-2701a2544e81"
-version = "3.0.0"
+version = "3.0.2"
 
 [[deps.ScientificTypesBase]]
 git-tree-sha1 = "a8e18eb383b5ecf1b5e6fc237eb39255044fd92b"
@@ -1267,28 +1604,24 @@ version = "3.0.0"
 
 [[deps.Scratch]]
 deps = ["Dates"]
-git-tree-sha1 = "f94f779c94e58bf9ea243e77a37e16d9de9126bd"
+git-tree-sha1 = "3bac05bc7e74a75fd9cba4295cde4045d9fe2386"
 uuid = "6c6a2e73-6563-6170-7368-637461726353"
-version = "1.1.1"
+version = "1.2.1"
 
 [[deps.SentinelArrays]]
 deps = ["Dates", "Random"]
-git-tree-sha1 = "db8481cf5d6278a121184809e9eb1628943c7704"
+git-tree-sha1 = "90b4f68892337554d31cdcdbe19e48989f26c7e6"
 uuid = "91c51154-3ec4-41a3-a24f-3f23e20d615c"
-version = "1.3.13"
+version = "1.4.3"
 
 [[deps.Serialization]]
 uuid = "9e88b42a-f829-5b0c-bbe9-9e923198166b"
 
 [[deps.Setfield]]
-deps = ["ConstructionBase", "Future", "MacroTools", "Requires"]
-git-tree-sha1 = "38d88503f695eb0301479bc9b0d4320b378bafe5"
+deps = ["ConstructionBase", "Future", "MacroTools", "StaticArraysCore"]
+git-tree-sha1 = "e2cc6d8c88613c05e1defb55170bf5ff211fbeac"
 uuid = "efcf1570-3423-57d1-acb7-fd33fddbac46"
-version = "0.8.2"
-
-[[deps.SharedArrays]]
-deps = ["Distributed", "Mmap", "Random", "Serialization"]
-uuid = "1a1011a3-84de-559e-8e89-a11a2f7dc383"
+version = "1.1.1"
 
 [[deps.ShowCases]]
 git-tree-sha1 = "7f534ad62ab2bd48591bdeac81994ea8c445e4a5"
@@ -1301,36 +1634,64 @@ git-tree-sha1 = "91eddf657aca81df9ae6ceb20b959ae5653ad1de"
 uuid = "992d4aef-0814-514b-bc4d-f2e9a6c4116f"
 version = "1.0.3"
 
+[[deps.SimpleBufferStream]]
+git-tree-sha1 = "874e8867b33a00e784c8a7e4b60afe9e037b74e1"
+uuid = "777ac1f9-54b0-4bf8-805c-2214025038e7"
+version = "1.1.0"
+
+[[deps.SimpleTraits]]
+deps = ["InteractiveUtils", "MacroTools"]
+git-tree-sha1 = "5d7e3f4e11935503d3ecaf7186eac40602e7d231"
+uuid = "699a6c99-e7fa-54fc-8d76-47d257e15c1d"
+version = "0.9.4"
+
 [[deps.Sockets]]
 uuid = "6462fe0b-24de-5631-8697-dd941f90decc"
 
+[[deps.SoftGlobalScope]]
+deps = ["REPL"]
+git-tree-sha1 = "986ec2b6162ccb95de5892ed17832f95badf770c"
+uuid = "b85f4697-e234-5449-a836-ec8e2f98b302"
+version = "1.1.0"
+
 [[deps.SortingAlgorithms]]
 deps = ["DataStructures"]
-git-tree-sha1 = "b3363d7460f7d098ca0912c69b082f75625d7508"
+git-tree-sha1 = "66e0a8e672a0bdfca2c3f5937efb8538b9ddc085"
 uuid = "a2af1166-a08f-5f64-846c-94a0d3cef48c"
-version = "1.0.1"
+version = "1.2.1"
 
 [[deps.SparseArrays]]
-deps = ["LinearAlgebra", "Random"]
+deps = ["Libdl", "LinearAlgebra", "Random", "Serialization", "SuiteSparse_jll"]
 uuid = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
+version = "1.10.0"
+
+[[deps.SparseInverseSubset]]
+deps = ["LinearAlgebra", "SparseArrays", "SuiteSparse"]
+git-tree-sha1 = "52962839426b75b3021296f7df242e40ecfc0852"
+uuid = "dc90abb0-5640-4711-901d-7e5b23a2fada"
+version = "0.1.2"
 
 [[deps.SpecialFunctions]]
-deps = ["ChainRulesCore", "IrrationalConstants", "LogExpFunctions", "OpenLibm_jll", "OpenSpecFun_jll"]
-git-tree-sha1 = "d75bda01f8c31ebb72df80a46c88b25d1c79c56d"
+deps = ["IrrationalConstants", "LogExpFunctions", "OpenLibm_jll", "OpenSpecFun_jll"]
+git-tree-sha1 = "2f5d4697f21388cbe1ff299430dd169ef97d7e14"
 uuid = "276daf66-3868-5448-9aa4-cd146d93841b"
-version = "2.1.7"
+version = "2.4.0"
+weakdeps = ["ChainRulesCore"]
+
+    [deps.SpecialFunctions.extensions]
+    SpecialFunctionsChainRulesCoreExt = "ChainRulesCore"
 
 [[deps.SplittablesBase]]
 deps = ["Setfield", "Test"]
-git-tree-sha1 = "39c9f91521de844bad65049efd4f9223e7ed43f9"
+git-tree-sha1 = "e08a62abc517eb79667d0a29dc08a3b589516bb5"
 uuid = "171d559e-b47b-412a-8079-5efa626c420e"
-version = "0.1.14"
+version = "0.1.15"
 
 [[deps.StableRNGs]]
-deps = ["Random", "Test"]
-git-tree-sha1 = "3be7d49667040add7ee151fefaf1f8c04c8c8276"
+deps = ["Random"]
+git-tree-sha1 = "83e6cce8324d49dfaf9ef059227f91ed4441a8e5"
 uuid = "860ef19b-820b-49d6-a774-d7a799459cd3"
-version = "1.0.0"
+version = "1.0.2"
 
 [[deps.StackViews]]
 deps = ["OffsetArrays"]
@@ -1338,22 +1699,41 @@ git-tree-sha1 = "46e589465204cd0c08b4bd97385e4fa79a0c770c"
 uuid = "cae243ae-269e-4f55-b966-ac2d0dc13c15"
 version = "0.1.1"
 
-[[deps.Static]]
-deps = ["IfElse"]
-git-tree-sha1 = "f94f9d627ba3f91e41a815b9f9f977d729e2e06f"
-uuid = "aedffcd0-7271-4cad-89d0-dc628f76c6d3"
-version = "0.7.6"
-
 [[deps.StaticArrays]]
-deps = ["LinearAlgebra", "Random", "StaticArraysCore", "Statistics"]
-git-tree-sha1 = "85bc4b051546db130aeb1e8a696f1da6d4497200"
+deps = ["LinearAlgebra", "PrecompileTools", "Random", "StaticArraysCore"]
+git-tree-sha1 = "9ae599cd7529cfce7fea36cf00a62cfc56f0f37c"
 uuid = "90137ffa-7385-5640-81b9-e52037218182"
-version = "1.5.5"
+version = "1.9.4"
+weakdeps = ["ChainRulesCore", "Statistics"]
+
+    [deps.StaticArrays.extensions]
+    StaticArraysChainRulesCoreExt = "ChainRulesCore"
+    StaticArraysStatisticsExt = "Statistics"
 
 [[deps.StaticArraysCore]]
-git-tree-sha1 = "5b413a57dd3cea38497d745ce088ac8592fbb5be"
+git-tree-sha1 = "36b3d696ce6366023a0ea192b4cd442268995a0d"
 uuid = "1e83bf80-4336-4d27-bf5d-d5a4f845583c"
-version = "1.1.0"
+version = "1.4.2"
+
+[[deps.StatisticalMeasures]]
+deps = ["CategoricalArrays", "CategoricalDistributions", "Distributions", "LearnAPI", "LinearAlgebra", "MacroTools", "OrderedCollections", "PrecompileTools", "ScientificTypesBase", "StatisticalMeasuresBase", "Statistics", "StatsBase"]
+git-tree-sha1 = "8b5a165b0ee2b361d692636bfb423b19abfd92b3"
+uuid = "a19d573c-0a75-4610-95b3-7071388c7541"
+version = "0.1.6"
+
+    [deps.StatisticalMeasures.extensions]
+    LossFunctionsExt = "LossFunctions"
+    ScientificTypesExt = "ScientificTypes"
+
+    [deps.StatisticalMeasures.weakdeps]
+    LossFunctions = "30fc2ffe-d236-52d8-8643-a9d8f7c094a7"
+    ScientificTypes = "321657f4-b219-11e9-178b-2701a2544e81"
+
+[[deps.StatisticalMeasuresBase]]
+deps = ["CategoricalArrays", "InteractiveUtils", "MLUtils", "MacroTools", "OrderedCollections", "PrecompileTools", "ScientificTypesBase", "Statistics"]
+git-tree-sha1 = "17dfb22e2e4ccc9cd59b487dce52883e0151b4d3"
+uuid = "c062fc1d-0d66-479b-b6ac-8b44719de4cc"
+version = "0.1.1"
 
 [[deps.StatisticalTraits]]
 deps = ["ScientificTypesBase"]
@@ -1364,56 +1744,88 @@ version = "3.2.0"
 [[deps.Statistics]]
 deps = ["LinearAlgebra", "SparseArrays"]
 uuid = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
+version = "1.10.0"
 
 [[deps.StatsAPI]]
 deps = ["LinearAlgebra"]
-git-tree-sha1 = "f9af7f195fb13589dd2e2d57fdb401717d2eb1f6"
+git-tree-sha1 = "1ff449ad350c9c4cbc756624d6f8a8c3ef56d3ed"
 uuid = "82ae8749-77ed-4fe6-ae5f-f523153014b0"
-version = "1.5.0"
+version = "1.7.0"
 
 [[deps.StatsBase]]
 deps = ["DataAPI", "DataStructures", "LinearAlgebra", "LogExpFunctions", "Missings", "Printf", "Random", "SortingAlgorithms", "SparseArrays", "Statistics", "StatsAPI"]
-git-tree-sha1 = "d1bf48bfcc554a3761a133fe3a9bb01488e06916"
+git-tree-sha1 = "5cf7606d6cef84b543b483848d4ae08ad9832b21"
 uuid = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
-version = "0.33.21"
+version = "0.34.3"
 
 [[deps.StatsFuns]]
-deps = ["ChainRulesCore", "HypergeometricFunctions", "InverseFunctions", "IrrationalConstants", "LogExpFunctions", "Reexport", "Rmath", "SpecialFunctions"]
-git-tree-sha1 = "5783b877201a82fc0014cbf381e7e6eb130473a4"
+deps = ["HypergeometricFunctions", "IrrationalConstants", "LogExpFunctions", "Reexport", "Rmath", "SpecialFunctions"]
+git-tree-sha1 = "cef0472124fab0695b58ca35a77c6fb942fdab8a"
 uuid = "4c63d2b9-4356-54db-8cca-17b64c39e42c"
-version = "1.0.1"
+version = "1.3.1"
 
-[[deps.Strided]]
-deps = ["LinearAlgebra", "TupleTools"]
-git-tree-sha1 = "a7a664c91104329c88222aa20264e1a05b6ad138"
-uuid = "5e0ebb24-38b0-5f93-81fe-25c709ecae67"
-version = "1.2.3"
+    [deps.StatsFuns.extensions]
+    StatsFunsChainRulesCoreExt = "ChainRulesCore"
+    StatsFunsInverseFunctionsExt = "InverseFunctions"
+
+    [deps.StatsFuns.weakdeps]
+    ChainRulesCore = "d360d2e6-b24c-11e9-a2a3-2a2ae2dbcce4"
+    InverseFunctions = "3587e190-3f89-42d0-90ee-14403ec27112"
+
+[[deps.StridedViews]]
+deps = ["LinearAlgebra", "PackageExtensionCompat"]
+git-tree-sha1 = "5b765c4e401693ab08981989f74a36a010aa1d8e"
+uuid = "4db3bf67-4bd7-4b4e-b153-31dc3fb37143"
+version = "0.2.2"
+weakdeps = ["CUDA"]
+
+    [deps.StridedViews.extensions]
+    StridedViewsCUDAExt = "CUDA"
 
 [[deps.StringEncodings]]
 deps = ["Libiconv_jll"]
-git-tree-sha1 = "50ccd5ddb00d19392577902f0079267a72c5ab04"
+git-tree-sha1 = "b765e46ba27ecf6b44faf70df40c57aa3a547dcb"
 uuid = "69024149-9ee7-55f6-a4c4-859efe599b68"
-version = "0.3.5"
+version = "0.3.7"
+
+[[deps.StringManipulation]]
+deps = ["PrecompileTools"]
+git-tree-sha1 = "a04cabe79c5f01f4d723cc6704070ada0b9d46d5"
+uuid = "892a3eda-7b42-436c-8928-eab12a02cf0e"
+version = "0.3.4"
 
 [[deps.StructArrays]]
-deps = ["Adapt", "DataAPI", "StaticArraysCore", "Tables"]
-git-tree-sha1 = "8c6ac65ec9ab781af05b08ff305ddc727c25f680"
+deps = ["ConstructionBase", "DataAPI", "Tables"]
+git-tree-sha1 = "f4dc295e983502292c4c3f951dbb4e985e35b3be"
 uuid = "09ab397b-f2b6-538f-b94a-2f83cf4a842a"
-version = "0.6.12"
+version = "0.6.18"
+weakdeps = ["Adapt", "GPUArraysCore", "SparseArrays", "StaticArrays"]
+
+    [deps.StructArrays.extensions]
+    StructArraysAdaptExt = "Adapt"
+    StructArraysGPUArraysCoreExt = "GPUArraysCore"
+    StructArraysSparseArraysExt = "SparseArrays"
+    StructArraysStaticArraysExt = "StaticArrays"
 
 [[deps.StructTypes]]
 deps = ["Dates", "UUIDs"]
-git-tree-sha1 = "79aa7175f0149ba2fe22b96a271f4024429de02d"
+git-tree-sha1 = "ca4bccb03acf9faaf4137a9abc1881ed1841aa70"
 uuid = "856f2bd8-1eba-4b0a-8007-ebc267875bd4"
-version = "1.9.0"
+version = "1.10.0"
 
 [[deps.SuiteSparse]]
 deps = ["Libdl", "LinearAlgebra", "Serialization", "SparseArrays"]
 uuid = "4607b0f0-06f3-5cda-b6b1-a6196a1729e9"
 
+[[deps.SuiteSparse_jll]]
+deps = ["Artifacts", "Libdl", "libblastrampoline_jll"]
+uuid = "bea87d4a-7f5b-5778-9afe-8cc45184846c"
+version = "7.2.1+1"
+
 [[deps.TOML]]
 deps = ["Dates"]
 uuid = "fa267f1f-6049-4f14-aa54-33bafae1ed76"
+version = "1.0.3"
 
 [[deps.TableTraits]]
 deps = ["IteratorInterfaceExtensions"]
@@ -1422,14 +1834,15 @@ uuid = "3783bdb8-4a98-5b6b-af9a-565f29a5fe9c"
 version = "1.0.1"
 
 [[deps.Tables]]
-deps = ["DataAPI", "DataValueInterfaces", "IteratorInterfaceExtensions", "LinearAlgebra", "OrderedCollections", "TableTraits", "Test"]
-git-tree-sha1 = "5ce79ce186cc678bbb5c5681ca3379d1ddae11a1"
+deps = ["DataAPI", "DataValueInterfaces", "IteratorInterfaceExtensions", "LinearAlgebra", "OrderedCollections", "TableTraits"]
+git-tree-sha1 = "cb76cf677714c095e535e3501ac7954732aeea2d"
 uuid = "bd369af6-aec1-5ad0-b16a-f7cc5008161c"
-version = "1.7.0"
+version = "1.11.1"
 
 [[deps.Tar]]
 deps = ["ArgTools", "SHA"]
 uuid = "a4e569a6-e804-4fa4-b0f3-eef7a1d5b13e"
+version = "1.10.0"
 
 [[deps.TensorCore]]
 deps = ["LinearAlgebra"]
@@ -1443,31 +1856,43 @@ uuid = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 
 [[deps.TimerOutputs]]
 deps = ["ExprTools", "Printf"]
-git-tree-sha1 = "9dfcb767e17b0849d6aaf85997c98a5aea292513"
+git-tree-sha1 = "5a13ae8a41237cff5ecf34f73eb1b8f42fff6531"
 uuid = "a759f4b9-e2f1-59dc-863e-4aeb61b1ea8f"
-version = "0.5.21"
+version = "0.5.24"
 
 [[deps.TranscodingStreams]]
-deps = ["Random", "Test"]
-git-tree-sha1 = "4ad90ab2bbfdddcae329cba59dab4a8cdfac3832"
+git-tree-sha1 = "5d54d076465da49d6746c647022f3b3674e64156"
 uuid = "3bb67fe8-82b1-5028-8e26-92a6c54297fa"
-version = "0.9.7"
+version = "0.10.8"
+weakdeps = ["Random", "Test"]
+
+    [deps.TranscodingStreams.extensions]
+    TestExt = ["Test", "Random"]
 
 [[deps.Transducers]]
-deps = ["Adapt", "ArgCheck", "BangBang", "Baselet", "CompositionsBase", "DefineSingletons", "Distributed", "InitialValues", "Logging", "Markdown", "MicroCollections", "Requires", "Setfield", "SplittablesBase", "Tables"]
-git-tree-sha1 = "c76399a3bbe6f5a88faa33c8f8a65aa631d95013"
+deps = ["Adapt", "ArgCheck", "BangBang", "Baselet", "CompositionsBase", "ConstructionBase", "DefineSingletons", "Distributed", "InitialValues", "Logging", "Markdown", "MicroCollections", "Requires", "Setfield", "SplittablesBase", "Tables"]
+git-tree-sha1 = "3064e780dbb8a9296ebb3af8f440f787bb5332af"
 uuid = "28d57a85-8fef-5791-bfe6-a80928e7c999"
-version = "0.4.73"
-
-[[deps.TupleTools]]
-git-tree-sha1 = "3c712976c47707ff893cf6ba4354aa14db1d8938"
-uuid = "9d95972d-f1c8-5527-a6e0-b4b365fa01f6"
-version = "1.3.0"
+version = "0.4.80"
+
+    [deps.Transducers.extensions]
+    TransducersBlockArraysExt = "BlockArrays"
+    TransducersDataFramesExt = "DataFrames"
+    TransducersLazyArraysExt = "LazyArrays"
+    TransducersOnlineStatsBaseExt = "OnlineStatsBase"
+    TransducersReferenceablesExt = "Referenceables"
+
+    [deps.Transducers.weakdeps]
+    BlockArrays = "8e7c35d0-a365-5155-bbbb-fb81a777f24e"
+    DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
+    LazyArrays = "5078a376-72f3-5289-bfd5-ec5146d43c02"
+    OnlineStatsBase = "925886fa-5bf2-5e8e-b522-a9147a512338"
+    Referenceables = "42d2dcc6-99eb-4e98-b66c-637b7d73030e"
 
 [[deps.URIs]]
-git-tree-sha1 = "e59ecc5a41b000fa94423a578d29290c7266fc10"
+git-tree-sha1 = "67db6cc7b3821e19ebe75791a9dd19c9b1188f2b"
 uuid = "5c2747f8-b7ea-4ff2-ba2e-563bfd36b1d4"
-version = "1.4.0"
+version = "1.5.1"
 
 [[deps.UUIDs]]
 deps = ["Random", "SHA"]
@@ -1487,34 +1912,70 @@ git-tree-sha1 = "53915e50200959667e78a92a418594b428dffddf"
 uuid = "1cfade01-22cf-5700-b092-accc4b62d6e1"
 version = "0.4.1"
 
-[[deps.UnicodePlots]]
-deps = ["ColorSchemes", "ColorTypes", "Contour", "Crayons", "Dates", "FileIO", "FreeTypeAbstraction", "LazyModules", "LinearAlgebra", "MarchingCubes", "NaNMath", "Printf", "SparseArrays", "StaticArrays", "StatsBase", "Unitful"]
-git-tree-sha1 = "5b931e95bf691e13ae25c1bdeda71b89169064ce"
-uuid = "b8865327-cd53-5732-bb35-84acbb429228"
-version = "3.0.5"
-
 [[deps.Unitful]]
-deps = ["ConstructionBase", "Dates", "LinearAlgebra", "Random"]
-git-tree-sha1 = "b649200e887a487468b71821e2644382699f1b0f"
+deps = ["Dates", "LinearAlgebra", "Random"]
+git-tree-sha1 = "dd260903fdabea27d9b6021689b3cd5401a57748"
 uuid = "1986cc42-f94f-5a68-af5c-568840ba703d"
-version = "1.11.0"
+version = "1.20.0"
+
+    [deps.Unitful.extensions]
+    ConstructionBaseUnitfulExt = "ConstructionBase"
+    InverseFunctionsUnitfulExt = "InverseFunctions"
+
+    [deps.Unitful.weakdeps]
+    ConstructionBase = "187b0558-2788-49d3-abe0-74a17ed4e7c9"
+    InverseFunctions = "3587e190-3f89-42d0-90ee-14403ec27112"
+
+[[deps.UnitfulAtomic]]
+deps = ["Unitful"]
+git-tree-sha1 = "903be579194534af1c4b4778d1ace676ca042238"
+uuid = "a7773ee8-282e-5fa2-be4e-bd808c38a91a"
+version = "1.0.0"
+
+[[deps.UnitfulLatexify]]
+deps = ["LaTeXStrings", "Latexify", "Unitful"]
+git-tree-sha1 = "e2d817cc500e960fdbafcf988ac8436ba3208bfd"
+uuid = "45397f5d-5981-4c77-b2b3-fc36d6e9b728"
+version = "1.6.3"
+
+[[deps.UnsafeAtomics]]
+git-tree-sha1 = "6331ac3440856ea1988316b46045303bef658278"
+uuid = "013be700-e6cd-48c3-b4a1-df204f14c38f"
+version = "0.2.1"
+
+[[deps.UnsafeAtomicsLLVM]]
+deps = ["LLVM", "UnsafeAtomics"]
+git-tree-sha1 = "d9f5962fecd5ccece07db1ff006fb0b5271bdfdd"
+uuid = "d80eeb9a-aca5-4d75-85e5-170c8b632249"
+version = "0.1.4"
 
 [[deps.Unzip]]
-git-tree-sha1 = "34db80951901073501137bdbc3d5a8e7bbd06670"
+git-tree-sha1 = "ca0969166a028236229f63514992fc073799bb78"
 uuid = "41fe7b60-77ed-43a1-b4f0-825fd5a5650d"
-version = "0.1.2"
+version = "0.2.0"
+
+[[deps.VersionParsing]]
+git-tree-sha1 = "58d6e80b4ee071f5efd07fda82cb9fbe17200868"
+uuid = "81def892-9a0e-5fdd-b105-ffc91e053289"
+version = "1.3.0"
+
+[[deps.Vulkan_Loader_jll]]
+deps = ["Artifacts", "JLLWrappers", "Libdl", "Wayland_jll", "Xorg_libX11_jll", "Xorg_libXrandr_jll", "xkbcommon_jll"]
+git-tree-sha1 = "2f0486047a07670caad3a81a075d2e518acc5c59"
+uuid = "a44049a8-05dd-5a78-86c9-5fde0876e88c"
+version = "1.3.243+0"
 
 [[deps.Wayland_jll]]
-deps = ["Artifacts", "Expat_jll", "JLLWrappers", "Libdl", "Libffi_jll", "Pkg", "XML2_jll"]
-git-tree-sha1 = "3e61f0b86f90dacb0bc0e73a0c5a83f6a8636e23"
+deps = ["Artifacts", "EpollShim_jll", "Expat_jll", "JLLWrappers", "Libdl", "Libffi_jll", "Pkg", "XML2_jll"]
+git-tree-sha1 = "7558e29847e99bc3f04d6569e82d0f5c54460703"
 uuid = "a2964d1f-97da-50d4-b82a-358c7fce9d89"
-version = "1.19.0+0"
+version = "1.21.0+1"
 
 [[deps.Wayland_protocols_jll]]
 deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "4528479aa01ee1b3b4cd0e6faef0e04cf16466da"
+git-tree-sha1 = "93f43ab61b16ddfb2fd3bb13b3ce241cafb0e6c9"
 uuid = "2381bf8a-dfd0-557d-9999-79630e7b1b91"
-version = "1.25.0+0"
+version = "1.31.0+0"
 
 [[deps.WeakRefStrings]]
 deps = ["DataAPI", "InlineStrings", "Parsers"]
@@ -1522,11 +1983,16 @@ git-tree-sha1 = "b1be2855ed9ed8eac54e5caff2afcdb442d52c23"
 uuid = "ea10d353-3f73-51f8-a26c-33c1cb351aa5"
 version = "1.4.2"
 
+[[deps.WorkerUtilities]]
+git-tree-sha1 = "cd1659ba0d57b71a464a29e64dbc67cfe83d54e7"
+uuid = "76eceee3-57b5-4d4a-8e66-0e911cebbf60"
+version = "1.6.1"
+
 [[deps.XML2_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Libiconv_jll", "Pkg", "Zlib_jll"]
-git-tree-sha1 = "58443b63fb7e465a8a7210828c91c08b92132dff"
+deps = ["Artifacts", "JLLWrappers", "Libdl", "Libiconv_jll", "Zlib_jll"]
+git-tree-sha1 = "52ff2af32e591541550bd753c0da8b9bc92bb9d9"
 uuid = "02c8fc9c-b97f-50b9-bbe4-9be30ff0a78a"
-version = "2.9.14+0"
+version = "2.12.7+0"
 
 [[deps.XSLT_jll]]
 deps = ["Artifacts", "JLLWrappers", "Libdl", "Libgcrypt_jll", "Libgpg_error_jll", "Libiconv_jll", "Pkg", "XML2_jll", "Zlib_jll"]
@@ -1534,17 +2000,35 @@ git-tree-sha1 = "91844873c4085240b95e795f692c4cec4d805f8a"
 uuid = "aed1982a-8fda-507f-9586-7b0439959a61"
 version = "1.1.34+0"
 
+[[deps.XZ_jll]]
+deps = ["Artifacts", "JLLWrappers", "Libdl"]
+git-tree-sha1 = "ac88fb95ae6447c8dda6a5503f3bafd496ae8632"
+uuid = "ffd25f8a-64ca-5728-b0f7-c24cf3aae800"
+version = "5.4.6+0"
+
+[[deps.Xorg_libICE_jll]]
+deps = ["Artifacts", "JLLWrappers", "Libdl"]
+git-tree-sha1 = "326b4fea307b0b39892b3e85fa451692eda8d46c"
+uuid = "f67eecfb-183a-506d-b269-f58e52b52d7c"
+version = "1.1.1+0"
+
+[[deps.Xorg_libSM_jll]]
+deps = ["Artifacts", "JLLWrappers", "Libdl", "Xorg_libICE_jll"]
+git-tree-sha1 = "3796722887072218eabafb494a13c963209754ce"
+uuid = "c834827a-8449-5923-a945-d239c165b7dd"
+version = "1.2.4+0"
+
 [[deps.Xorg_libX11_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libxcb_jll", "Xorg_xtrans_jll"]
-git-tree-sha1 = "5be649d550f3f4b95308bf0183b82e2582876527"
+deps = ["Artifacts", "JLLWrappers", "Libdl", "Xorg_libxcb_jll", "Xorg_xtrans_jll"]
+git-tree-sha1 = "afead5aba5aa507ad5a3bf01f58f82c8d1403495"
 uuid = "4f6342f7-b3d2-589e-9d20-edeb45f2b2bc"
-version = "1.6.9+4"
+version = "1.8.6+0"
 
 [[deps.Xorg_libXau_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "4e490d5c960c314f33885790ed410ff3a94ce67e"
+deps = ["Artifacts", "JLLWrappers", "Libdl"]
+git-tree-sha1 = "6035850dcc70518ca32f012e46015b9beeda49d8"
 uuid = "0c0b7dd1-d40b-584c-a123-a41640f87eec"
-version = "1.0.9+4"
+version = "1.0.11+0"
 
 [[deps.Xorg_libXcursor_jll]]
 deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libXfixes_jll", "Xorg_libXrender_jll"]
@@ -1553,16 +2037,16 @@ uuid = "935fb764-8cf2-53bf-bb30-45bb1f8bf724"
 version = "1.2.0+4"
 
 [[deps.Xorg_libXdmcp_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "4fe47bd2247248125c428978740e18a681372dd4"
+deps = ["Artifacts", "JLLWrappers", "Libdl"]
+git-tree-sha1 = "34d526d318358a859d7de23da945578e8e8727b7"
 uuid = "a3789734-cfe1-5b06-b2d0-1dd0d9d62d05"
-version = "1.1.3+4"
+version = "1.1.4+0"
 
 [[deps.Xorg_libXext_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libX11_jll"]
-git-tree-sha1 = "b7c0aa8c376b31e4852b360222848637f481f8c3"
+deps = ["Artifacts", "JLLWrappers", "Libdl", "Xorg_libX11_jll"]
+git-tree-sha1 = "d2d1a5c49fae4ba39983f63de6afcbea47194e85"
 uuid = "1082639a-0dae-5f34-9b06-72781eeb8cb3"
-version = "1.3.4+4"
+version = "1.3.6+0"
 
 [[deps.Xorg_libXfixes_jll]]
 deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libX11_jll"]
@@ -1589,28 +2073,34 @@ uuid = "ec84b674-ba8e-5d96-8ba1-2a689ba10484"
 version = "1.5.2+4"
 
 [[deps.Xorg_libXrender_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libX11_jll"]
-git-tree-sha1 = "19560f30fd49f4d4efbe7002a1037f8c43d43b96"
+deps = ["Artifacts", "JLLWrappers", "Libdl", "Xorg_libX11_jll"]
+git-tree-sha1 = "47e45cd78224c53109495b3e324df0c37bb61fbe"
 uuid = "ea2f1a96-1ddc-540d-b46f-429655e07cfa"
-version = "0.9.10+4"
+version = "0.9.11+0"
 
 [[deps.Xorg_libpthread_stubs_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "6783737e45d3c59a4a4c4091f5f88cdcf0908cbb"
+deps = ["Artifacts", "JLLWrappers", "Libdl"]
+git-tree-sha1 = "8fdda4c692503d44d04a0603d9ac0982054635f9"
 uuid = "14d82f49-176c-5ed1-bb49-ad3f5cbd8c74"
-version = "0.1.0+3"
+version = "0.1.1+0"
 
 [[deps.Xorg_libxcb_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "XSLT_jll", "Xorg_libXau_jll", "Xorg_libXdmcp_jll", "Xorg_libpthread_stubs_jll"]
-git-tree-sha1 = "daf17f441228e7a3833846cd048892861cff16d6"
+deps = ["Artifacts", "JLLWrappers", "Libdl", "XSLT_jll", "Xorg_libXau_jll", "Xorg_libXdmcp_jll", "Xorg_libpthread_stubs_jll"]
+git-tree-sha1 = "b4bfde5d5b652e22b9c790ad00af08b6d042b97d"
 uuid = "c7cfdc94-dc32-55de-ac96-5a1b8d977c5b"
-version = "1.13.0+3"
+version = "1.15.0+0"
 
 [[deps.Xorg_libxkbfile_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libX11_jll"]
-git-tree-sha1 = "926af861744212db0eb001d9e40b5d16292080b2"
+deps = ["Artifacts", "JLLWrappers", "Libdl", "Xorg_libX11_jll"]
+git-tree-sha1 = "730eeca102434283c50ccf7d1ecdadf521a765a4"
 uuid = "cc61e674-0454-545c-8b26-ed2c68acab7a"
-version = "1.1.0+4"
+version = "1.1.2+0"
+
+[[deps.Xorg_xcb_util_cursor_jll]]
+deps = ["Artifacts", "JLLWrappers", "Libdl", "Xorg_xcb_util_image_jll", "Xorg_xcb_util_jll", "Xorg_xcb_util_renderutil_jll"]
+git-tree-sha1 = "04341cb870f29dcd5e39055f895c39d016e18ccd"
+uuid = "e920d4aa-a673-5f3a-b3d7-f755a4d47c43"
+version = "0.1.4+0"
 
 [[deps.Xorg_xcb_util_image_jll]]
 deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_xcb_util_jll"]
@@ -1643,56 +2133,109 @@ uuid = "c22f9ab0-d5fe-5066-847c-f4bb1cd4e361"
 version = "0.4.1+1"
 
 [[deps.Xorg_xkbcomp_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_libxkbfile_jll"]
-git-tree-sha1 = "4bcbf660f6c2e714f87e960a171b119d06ee163b"
+deps = ["Artifacts", "JLLWrappers", "Libdl", "Xorg_libxkbfile_jll"]
+git-tree-sha1 = "330f955bc41bb8f5270a369c473fc4a5a4e4d3cb"
 uuid = "35661453-b289-5fab-8a00-3d9160c6a3a4"
-version = "1.4.2+4"
+version = "1.4.6+0"
 
 [[deps.Xorg_xkeyboard_config_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Xorg_xkbcomp_jll"]
-git-tree-sha1 = "5c8424f8a67c3f2209646d4425f3d415fee5931d"
+deps = ["Artifacts", "JLLWrappers", "Libdl", "Xorg_xkbcomp_jll"]
+git-tree-sha1 = "691634e5453ad362044e2ad653e79f3ee3bb98c3"
 uuid = "33bec58e-1273-512f-9401-5d533626f822"
-version = "2.27.0+4"
+version = "2.39.0+0"
 
 [[deps.Xorg_xtrans_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "79c31e7844f6ecf779705fbc12146eb190b7d845"
+deps = ["Artifacts", "JLLWrappers", "Libdl"]
+git-tree-sha1 = "e92a1a012a10506618f10b7047e478403a046c77"
 uuid = "c5fb5394-a638-5e4d-96e5-b29de1b5cf10"
-version = "1.4.0+3"
+version = "1.5.0+0"
+
+[[deps.ZMQ]]
+deps = ["FileWatching", "PrecompileTools", "Sockets", "ZeroMQ_jll"]
+git-tree-sha1 = "8ac0d6e982660047f4ec5ae462acf4b92260f4b3"
+uuid = "c2297ded-f4af-51ae-bb23-16f91089e4e1"
+version = "1.2.3"
+
+[[deps.ZeroMQ_jll]]
+deps = ["Artifacts", "JLLWrappers", "Libdl", "libsodium_jll"]
+git-tree-sha1 = "42f97fb27394378591666ab0e9cee369e6d0e1f9"
+uuid = "8f1865be-045e-5c20-9c9f-bfbfb0764568"
+version = "4.3.5+0"
 
 [[deps.ZipFile]]
 deps = ["Libdl", "Printf", "Zlib_jll"]
-git-tree-sha1 = "3593e69e469d2111389a9bd06bac1f3d730ac6de"
+git-tree-sha1 = "f492b7fe1698e623024e873244f10d89c95c340a"
 uuid = "a5390f91-8eb1-5f08-bee0-b1d1ffed6cea"
-version = "0.9.4"
+version = "0.10.1"
 
 [[deps.Zlib_jll]]
 deps = ["Libdl"]
 uuid = "83775a58-1f1d-513f-b197-d71354ab007a"
+version = "1.2.13+1"
 
 [[deps.Zstd_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "e45044cd873ded54b6a5bac0eb5c971392cf1927"
+deps = ["Artifacts", "JLLWrappers", "Libdl"]
+git-tree-sha1 = "e678132f07ddb5bfa46857f0d7620fb9be675d3b"
 uuid = "3161d3a3-bdf6-5164-811a-617609db77b4"
-version = "1.5.2+0"
+version = "1.5.6+0"
 
 [[deps.Zygote]]
-deps = ["AbstractFFTs", "ChainRules", "ChainRulesCore", "DiffRules", "Distributed", "FillArrays", "ForwardDiff", "GPUArrays", "GPUArraysCore", "IRTools", "InteractiveUtils", "LinearAlgebra", "LogExpFunctions", "MacroTools", "NaNMath", "Random", "Requires", "SparseArrays", "SpecialFunctions", "Statistics", "ZygoteRules"]
-git-tree-sha1 = "8ac61a92a33b3fd2a4cbf92951817831e313a004"
+deps = ["AbstractFFTs", "ChainRules", "ChainRulesCore", "DiffRules", "Distributed", "FillArrays", "ForwardDiff", "GPUArrays", "GPUArraysCore", "IRTools", "InteractiveUtils", "LinearAlgebra", "LogExpFunctions", "MacroTools", "NaNMath", "PrecompileTools", "Random", "Requires", "SparseArrays", "SpecialFunctions", "Statistics", "ZygoteRules"]
+git-tree-sha1 = "19c586905e78a26f7e4e97f81716057bd6b1bc54"
 uuid = "e88e6eb3-aa80-5325-afca-941959d7151f"
-version = "0.6.44"
+version = "0.6.70"
+
+    [deps.Zygote.extensions]
+    ZygoteColorsExt = "Colors"
+    ZygoteDistancesExt = "Distances"
+    ZygoteTrackerExt = "Tracker"
+
+    [deps.Zygote.weakdeps]
+    Colors = "5ae59095-9a9b-59fe-a467-6f913c188581"
+    Distances = "b4f34e82-e78d-54a5-968a-f98e89d6e8f7"
+    Tracker = "9f7883ad-71c0-57eb-9f7f-b5c9e6d3789c"
 
 [[deps.ZygoteRules]]
-deps = ["MacroTools"]
-git-tree-sha1 = "8c1a8e4dfacb1fd631745552c8db35d0deb09ea0"
+deps = ["ChainRulesCore", "MacroTools"]
+git-tree-sha1 = "27798139afc0a2afa7b1824c206d5e87ea587a00"
 uuid = "700de1a5-db45-46bc-99cf-38207098b444"
-version = "0.2.2"
+version = "0.2.5"
 
-[[deps.libaom_jll]]
+[[deps.cuDNN]]
+deps = ["CEnum", "CUDA", "CUDA_Runtime_Discovery", "CUDNN_jll"]
+git-tree-sha1 = "1f6a185a8da9bbbc20134b7b935981f70c9b26ad"
+uuid = "02a925ec-e4fe-4b08-9a7e-0d78e3d38ccd"
+version = "1.3.1"
+
+[[deps.eudev_jll]]
+deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "gperf_jll"]
+git-tree-sha1 = "431b678a28ebb559d224c0b6b6d01afce87c51ba"
+uuid = "35ca27e7-8b34-5b7f-bca9-bdc33f59eb06"
+version = "3.2.9+0"
+
+[[deps.fzf_jll]]
+deps = ["Artifacts", "JLLWrappers", "Libdl"]
+git-tree-sha1 = "a68c9655fbe6dfcab3d972808f1aafec151ce3f8"
+uuid = "214eeab7-80f7-51ab-84ad-2988db7cef09"
+version = "0.43.0+0"
+
+[[deps.gperf_jll]]
 deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
-git-tree-sha1 = "3a2ea60308f0996d26f1e5354e10c24e9ef905d4"
+git-tree-sha1 = "3516a5630f741c9eecb3720b1ec9d8edc3ecc033"
+uuid = "1a1c6b14-54f6-533d-8383-74cd7377aa70"
+version = "3.1.1+0"
+
+[[deps.libaec_jll]]
+deps = ["Artifacts", "JLLWrappers", "Libdl"]
+git-tree-sha1 = "46bf7be2917b59b761247be3f317ddf75e50e997"
+uuid = "477f73a3-ac25-53e9-8cc3-50b2fa2566f0"
+version = "1.1.2+0"
+
+[[deps.libaom_jll]]
+deps = ["Artifacts", "JLLWrappers", "Libdl"]
+git-tree-sha1 = "1827acba325fdcdf1d2647fc8d5301dd9ba43a9d"
 uuid = "a4ae2306-e953-59d6-aa16-d00cac43593b"
-version = "3.4.0+0"
+version = "3.9.0+0"
 
 [[deps.libass_jll]]
 deps = ["Artifacts", "Bzip2_jll", "FreeType2_jll", "FriBidi_jll", "HarfBuzz_jll", "JLLWrappers", "Libdl", "Pkg", "Zlib_jll"]
@@ -1701,8 +2244,15 @@ uuid = "0ac62f75-1d6f-5e53-bd7c-93b484bb37c0"
 version = "0.15.1+0"
 
 [[deps.libblastrampoline_jll]]
-deps = ["Artifacts", "Libdl", "OpenBLAS_jll"]
+deps = ["Artifacts", "Libdl"]
 uuid = "8e850b90-86db-534c-a0d3-1478176c7d93"
+version = "5.8.0+1"
+
+[[deps.libevdev_jll]]
+deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
+git-tree-sha1 = "141fe65dc3efabb0b1d5ba74e91f6ad26f84cc22"
+uuid = "2db6ffa8-e38f-5e21-84af-90c45d0032cc"
+version = "1.11.0+0"
 
 [[deps.libfdk_aac_jll]]
 deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
@@ -1710,11 +2260,23 @@ git-tree-sha1 = "daacc84a041563f965be61859a36e17c4e4fcd55"
 uuid = "f638f0a6-7fb0-5443-88ba-1cc74229b280"
 version = "2.0.2+0"
 
+[[deps.libinput_jll]]
+deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "eudev_jll", "libevdev_jll", "mtdev_jll"]
+git-tree-sha1 = "ad50e5b90f222cfe78aa3d5183a20a12de1322ce"
+uuid = "36db933b-70db-51c0-b978-0f229ee0e533"
+version = "1.18.0+0"
+
 [[deps.libpng_jll]]
-deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Zlib_jll"]
-git-tree-sha1 = "94d180a6d2b5e55e447e2d27a29ed04fe79eb30c"
+deps = ["Artifacts", "JLLWrappers", "Libdl", "Zlib_jll"]
+git-tree-sha1 = "d7015d2e18a5fd9a4f47de711837e980519781a4"
 uuid = "b53b4c65-9356-5827-b1ea-8c7a1a84506f"
-version = "1.6.38+0"
+version = "1.6.43+1"
+
+[[deps.libsodium_jll]]
+deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
+git-tree-sha1 = "848ab3d00fe39d6fbc2a8641048f8f272af1c51e"
+uuid = "a9144af2-ca23-56d9-984f-0d03f7b5ccf8"
+version = "1.0.20+0"
 
 [[deps.libvorbis_jll]]
 deps = ["Artifacts", "JLLWrappers", "Libdl", "Ogg_jll", "Pkg"]
@@ -1722,13 +2284,21 @@ git-tree-sha1 = "b910cb81ef3fe6e78bf6acee440bda86fd6ae00c"
 uuid = "f27f6e37-5d2b-51aa-960f-b287f2bc3b7a"
 version = "1.3.7+1"
 
+[[deps.mtdev_jll]]
+deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
+git-tree-sha1 = "814e154bdb7be91d78b6802843f76b6ece642f11"
+uuid = "009596ad-96f7-51b1-9f1b-5ce2d5e8a71e"
+version = "1.1.6+0"
+
 [[deps.nghttp2_jll]]
 deps = ["Artifacts", "Libdl"]
 uuid = "8e850ede-7688-5339-a07c-302acd2aaf8d"
+version = "1.52.0+1"
 
 [[deps.p7zip_jll]]
 deps = ["Artifacts", "Libdl"]
 uuid = "3f19e933-33d8-53b3-aaab-bd5110c3b7a0"
+version = "17.4.0+2"
 
 [[deps.x264_jll]]
 deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg"]
@@ -1744,6 +2314,6 @@ version = "3.5.0+0"
 
 [[deps.xkbcommon_jll]]
 deps = ["Artifacts", "JLLWrappers", "Libdl", "Pkg", "Wayland_jll", "Wayland_protocols_jll", "Xorg_libxcb_jll", "Xorg_xkeyboard_config_jll"]
-git-tree-sha1 = "9ebfc140cc56e8c2156a15ceac2f0302e327ac0a"
+git-tree-sha1 = "9c304562909ab2bab0262639bd4f444d7bc2be37"
 uuid = "d8fb68d0-12a3-5cfd-a85a-d49703b185fd"
-version = "1.4.1+0"
+version = "1.4.1+1"
diff --git a/examples/mnist/Project.toml b/examples/mnist/Project.toml
index 49a95dda..94a789a2 100644
--- a/examples/mnist/Project.toml
+++ b/examples/mnist/Project.toml
@@ -1,7 +1,11 @@
 [deps]
+CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
 Flux = "587475ba-b771-5e3f-ad9e-33799f191a9c"
+IJulia = "7073ff75-c697-5162-941a-fcdaad2a7d2a"
 MLDatasets = "eb30cadb-4394-5ae3-aed4-317e484a6458"
 MLJ = "add582a8-e3ab-11e8-2d5e-e98b27df1bc7"
 MLJFlux = "094fc8d1-fd35-5302-93ea-dabda2abf845"
 MLJIteration = "614be32b-d00c-4edb-bd02-1eb411ab5e55"
+MLUtils = "f1d291b0-491e-4a28-83b9-f70985020b54"
 Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
+cuDNN = "02a925ec-e4fe-4b08-9a7e-0d78e3d38ccd"
diff --git a/examples/mnist/loss.png b/examples/mnist/loss.png
index 9fbf1e0c..c77e097a 100644
Binary files a/examples/mnist/loss.png and b/examples/mnist/loss.png differ
diff --git a/examples/mnist/notebook.ipynb b/examples/mnist/notebook.ipynb
index 19efa715..b3589812 100644
--- a/examples/mnist/notebook.ipynb
+++ b/examples/mnist/notebook.ipynb
@@ -16,7 +16,10 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\u001b[32m\u001b[1m  Activating\u001b[22m\u001b[39m project at `~/GoogleDrive/Julia/MLJ/MLJFlux/examples/mnist`\n"
+      "\u001b[32m\u001b[1m  Activating\u001b[22m\u001b[39m project at `~/GoogleDrive/Julia/MLJ/MLJFlux/examples/mnist`\n",
+      "\u001b[32m\u001b[1mPrecompiling\u001b[22m\u001b[39m project...\n",
+      "\u001b[32m  ✓ \u001b[39m\u001b[90mPlots → IJuliaExt\u001b[39m\n",
+      "  1 dependency successfully precompiled in 9 seconds. 380 already precompiled.\n"
      ]
     }
    ],
@@ -31,7 +34,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "**Julia version** is assumed to be ^1.7"
+    "**Julia version** is assumed to be ^1.10"
    ]
   },
   {
@@ -43,8 +46,31 @@
     "using MLJ\n",
     "using Flux\n",
     "import MLJFlux\n",
-    "import MLJIteration # for `skip`\n",
-    "\n",
+    "import MLUtils\n",
+    "import MLJIteration # for `skip`"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "If running on a GPU, you will also need to `import CUDA` and `import cuDNN`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mPrecompiling IJuliaExt [2f4121a4-3b3a-5ce6-9c5e-1f2673ce168a]\n"
+     ]
+    }
+   ],
+   "source": [
     "using Plots\n",
     "gr(size=(600, 300*(sqrt(5)-1)));"
    ]
@@ -65,23 +91,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "┌ Warning: MNIST.traindata() is deprecated, use `MNIST(split=:train)[:]` instead.\n",
-      "└ @ MLDatasets /Users/anthony/.julia/packages/MLDatasets/eZ0Va/src/datasets/vision/mnist.jl:187\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import MLDatasets: MNIST\n",
     "\n",
     "ENV[\"DATADEPS_ALWAYS_ACCEPT\"] = true\n",
-    "images, labels = MNIST.traindata();"
+    "images, labels = MNIST(split=:train)[:];"
    ]
   },
   {
@@ -97,7 +114,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -114,7 +131,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -140,7 +157,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -940,36 +957,36 @@
        "</svg>"
       ],
       "text/plain": [
-       "28×28 Array{Gray{N0f8},2} with eltype Gray{FixedPointNumbers.N0f8}:\n",
-       " Gray{N0f8}(0.0)  Gray{N0f8}(0.0)  …  Gray{N0f8}(0.0)  Gray{N0f8}(0.0)\n",
-       " Gray{N0f8}(0.0)  Gray{N0f8}(0.0)     Gray{N0f8}(0.0)  Gray{N0f8}(0.0)\n",
-       " Gray{N0f8}(0.0)  Gray{N0f8}(0.0)     Gray{N0f8}(0.0)  Gray{N0f8}(0.0)\n",
-       " Gray{N0f8}(0.0)  Gray{N0f8}(0.0)     Gray{N0f8}(0.0)  Gray{N0f8}(0.0)\n",
-       " Gray{N0f8}(0.0)  Gray{N0f8}(0.0)     Gray{N0f8}(0.0)  Gray{N0f8}(0.0)\n",
-       " Gray{N0f8}(0.0)  Gray{N0f8}(0.0)  …  Gray{N0f8}(0.0)  Gray{N0f8}(0.0)\n",
-       " Gray{N0f8}(0.0)  Gray{N0f8}(0.0)     Gray{N0f8}(0.0)  Gray{N0f8}(0.0)\n",
-       " Gray{N0f8}(0.0)  Gray{N0f8}(0.0)     Gray{N0f8}(0.0)  Gray{N0f8}(0.0)\n",
-       " Gray{N0f8}(0.0)  Gray{N0f8}(0.0)     Gray{N0f8}(0.0)  Gray{N0f8}(0.0)\n",
-       " Gray{N0f8}(0.0)  Gray{N0f8}(0.0)     Gray{N0f8}(0.0)  Gray{N0f8}(0.0)\n",
-       " Gray{N0f8}(0.0)  Gray{N0f8}(0.0)  …  Gray{N0f8}(0.0)  Gray{N0f8}(0.0)\n",
-       " Gray{N0f8}(0.0)  Gray{N0f8}(0.0)     Gray{N0f8}(0.0)  Gray{N0f8}(0.0)\n",
-       " Gray{N0f8}(0.0)  Gray{N0f8}(0.0)     Gray{N0f8}(0.0)  Gray{N0f8}(0.0)\n",
-       " ⋮                                 ⋱                   \n",
-       " Gray{N0f8}(0.0)  Gray{N0f8}(0.0)     Gray{N0f8}(0.0)  Gray{N0f8}(0.0)\n",
-       " Gray{N0f8}(0.0)  Gray{N0f8}(0.0)     Gray{N0f8}(0.0)  Gray{N0f8}(0.0)\n",
-       " Gray{N0f8}(0.0)  Gray{N0f8}(0.0)     Gray{N0f8}(0.0)  Gray{N0f8}(0.0)\n",
-       " Gray{N0f8}(0.0)  Gray{N0f8}(0.0)     Gray{N0f8}(0.0)  Gray{N0f8}(0.0)\n",
-       " Gray{N0f8}(0.0)  Gray{N0f8}(0.0)  …  Gray{N0f8}(0.0)  Gray{N0f8}(0.0)\n",
-       " Gray{N0f8}(0.0)  Gray{N0f8}(0.0)     Gray{N0f8}(0.0)  Gray{N0f8}(0.0)\n",
-       " Gray{N0f8}(0.0)  Gray{N0f8}(0.0)     Gray{N0f8}(0.0)  Gray{N0f8}(0.0)\n",
-       " Gray{N0f8}(0.0)  Gray{N0f8}(0.0)     Gray{N0f8}(0.0)  Gray{N0f8}(0.0)\n",
-       " Gray{N0f8}(0.0)  Gray{N0f8}(0.0)     Gray{N0f8}(0.0)  Gray{N0f8}(0.0)\n",
-       " Gray{N0f8}(0.0)  Gray{N0f8}(0.0)  …  Gray{N0f8}(0.0)  Gray{N0f8}(0.0)\n",
-       " Gray{N0f8}(0.0)  Gray{N0f8}(0.0)     Gray{N0f8}(0.0)  Gray{N0f8}(0.0)\n",
-       " Gray{N0f8}(0.0)  Gray{N0f8}(0.0)     Gray{N0f8}(0.0)  Gray{N0f8}(0.0)"
+       "28×28 Array{Gray{Float32},2} with eltype Gray{Float32}:\n",
+       " Gray{Float32}(0.0)  Gray{Float32}(0.0)  …  Gray{Float32}(0.0)\n",
+       " Gray{Float32}(0.0)  Gray{Float32}(0.0)     Gray{Float32}(0.0)\n",
+       " Gray{Float32}(0.0)  Gray{Float32}(0.0)     Gray{Float32}(0.0)\n",
+       " Gray{Float32}(0.0)  Gray{Float32}(0.0)     Gray{Float32}(0.0)\n",
+       " Gray{Float32}(0.0)  Gray{Float32}(0.0)     Gray{Float32}(0.0)\n",
+       " Gray{Float32}(0.0)  Gray{Float32}(0.0)  …  Gray{Float32}(0.0)\n",
+       " Gray{Float32}(0.0)  Gray{Float32}(0.0)     Gray{Float32}(0.0)\n",
+       " Gray{Float32}(0.0)  Gray{Float32}(0.0)     Gray{Float32}(0.0)\n",
+       " Gray{Float32}(0.0)  Gray{Float32}(0.0)     Gray{Float32}(0.0)\n",
+       " Gray{Float32}(0.0)  Gray{Float32}(0.0)     Gray{Float32}(0.0)\n",
+       " Gray{Float32}(0.0)  Gray{Float32}(0.0)  …  Gray{Float32}(0.0)\n",
+       " Gray{Float32}(0.0)  Gray{Float32}(0.0)     Gray{Float32}(0.0)\n",
+       " Gray{Float32}(0.0)  Gray{Float32}(0.0)     Gray{Float32}(0.0)\n",
+       " ⋮                                       ⋱  \n",
+       " Gray{Float32}(0.0)  Gray{Float32}(0.0)     Gray{Float32}(0.0)\n",
+       " Gray{Float32}(0.0)  Gray{Float32}(0.0)     Gray{Float32}(0.0)\n",
+       " Gray{Float32}(0.0)  Gray{Float32}(0.0)     Gray{Float32}(0.0)\n",
+       " Gray{Float32}(0.0)  Gray{Float32}(0.0)     Gray{Float32}(0.0)\n",
+       " Gray{Float32}(0.0)  Gray{Float32}(0.0)  …  Gray{Float32}(0.0)\n",
+       " Gray{Float32}(0.0)  Gray{Float32}(0.0)     Gray{Float32}(0.0)\n",
+       " Gray{Float32}(0.0)  Gray{Float32}(0.0)     Gray{Float32}(0.0)\n",
+       " Gray{Float32}(0.0)  Gray{Float32}(0.0)     Gray{Float32}(0.0)\n",
+       " Gray{Float32}(0.0)  Gray{Float32}(0.0)     Gray{Float32}(0.0)\n",
+       " Gray{Float32}(0.0)  Gray{Float32}(0.0)  …  Gray{Float32}(0.0)\n",
+       " Gray{Float32}(0.0)  Gray{Float32}(0.0)     Gray{Float32}(0.0)\n",
+       " Gray{Float32}(0.0)  Gray{Float32}(0.0)     Gray{Float32}(0.0)"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -993,7 +1010,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1005,8 +1022,6 @@
     "    channels3::Int\n",
     "end\n",
     "\n",
-    "make2d(x::AbstractArray) = reshape(x, :, size(x)[end])\n",
-    "\n",
     "function MLJFlux.build(b::MyConvBuilder, rng, n_in, n_out, n_channels)\n",
     "    k, c1, c2, c3 = b.filter_size, b.channels1, b.channels2, b.channels3\n",
     "    mod(k, 2) == 1 || error(\"`filter_size` must be odd. \")\n",
@@ -1019,7 +1034,7 @@
     "        MaxPool((2, 2)),\n",
     "        Conv((k, k), c2 => c3, pad=(p, p), relu, init=init),\n",
     "        MaxPool((2 ,2)),\n",
-    "        make2d)\n",
+    "        MLUtils.flatten)\n",
     "    d = Flux.outputsize(front, (n_in..., n_channels, 1)) |> first\n",
     "    return Chain(front, Dense(d, n_out, init=init))\n",
     "end"
@@ -1029,31 +1044,38 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "**Note.** There is no final `softmax` here, as this is applied by\n",
-    "default in all MLJFLux classifiers. Customisation of this behaviour\n",
-    "is controlled using using the `finaliser` hyperparameter of the\n",
-    "classifier."
+    "**Notes.**"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "- There is no final `softmax` here, as this is applied by default in all MLJFLux\n",
+    "  classifiers. Customisation of this behaviour is controlled using using the `finaliser`\n",
+    "  hyperparameter of the classifier.\n",
+    "\n",
+    "- Instead of calculating the padding `p`, Flux can infer the required padding in each\n",
+    "  dimension, which you enable by replacing `pad = (p, p)` with `pad = SamePad()`."
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "We now define the MLJ model. If you have a GPU, substitute\n",
-    "`acceleration=CUDALibs()` below:"
+    "We now define the MLJ model."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "┌ Info: For silent loading, specify `verbosity=0`. \n",
-      "└ @ Main /Users/anthony/.julia/packages/MLJModels/lDzCR/src/loading.jl:168\n"
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mFor silent loading, specify `verbosity=0`. \n"
      ]
     },
     {
@@ -1080,26 +1102,56 @@
        "  acceleration = CPU1{Nothing}(nothing))"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "ImageClassifier = @load ImageClassifier\n",
-    "clf = ImageClassifier(builder=MyConvBuilder(3, 16, 32, 32),\n",
-    "                      batch_size=50,\n",
-    "                      epochs=10,\n",
-    "                      rng=123)"
+    "clf = ImageClassifier(\n",
+    "    builder=MyConvBuilder(3, 16, 32, 32),\n",
+    "    batch_size=50,\n",
+    "    epochs=10,\n",
+    "    rng=123,\n",
+    ")"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "You can add Flux options `optimiser=...` and `loss=...` here. At\n",
-    "present, `loss` must be a Flux-compatible loss, not an MLJ\n",
-    "measure. To run on a GPU, set `acceleration=CUDALib()`."
+    "You can add Flux options `optimiser=...` and `loss=...` in the above constructor\n",
+    "call. At present, `loss` must be a Flux-compatible loss, not an MLJ measure. To run on a\n",
+    "GPU, add to the constructor `acceleration=CUDALib()` and omit `rng`."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "For illustration purposes, we won't use all the data here:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "501:1000"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "train = 1:500\n",
+    "test = 501:1000"
    ]
   },
   {
@@ -1111,7 +1163,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1127,40 +1179,29 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "┌ Info: Training machine(ImageClassifier(builder = MyConvBuilder(3, 16, 32, 32), …), …).\n",
-      "└ @ MLJBase /Users/anthony/.julia/packages/MLJBase/Fl6Zc/src/machines.jl:498\n",
-      "┌ Info: Loss is 2.291\n",
-      "└ @ MLJFlux /Users/anthony/.julia/packages/MLJFlux/n3YAv/src/core.jl:127\n",
-      "┌ Info: Loss is 2.208\n",
-      "└ @ MLJFlux /Users/anthony/.julia/packages/MLJFlux/n3YAv/src/core.jl:127\n",
-      "┌ Info: Loss is 2.049\n",
-      "└ @ MLJFlux /Users/anthony/.julia/packages/MLJFlux/n3YAv/src/core.jl:127\n",
-      "┌ Info: Loss is 1.685\n",
-      "└ @ MLJFlux /Users/anthony/.julia/packages/MLJFlux/n3YAv/src/core.jl:127\n",
-      "┌ Info: Loss is 1.075\n",
-      "└ @ MLJFlux /Users/anthony/.julia/packages/MLJFlux/n3YAv/src/core.jl:127\n",
-      "┌ Info: Loss is 0.628\n",
-      "└ @ MLJFlux /Users/anthony/.julia/packages/MLJFlux/n3YAv/src/core.jl:127\n",
-      "┌ Info: Loss is 0.4639\n",
-      "└ @ MLJFlux /Users/anthony/.julia/packages/MLJFlux/n3YAv/src/core.jl:127\n",
-      "┌ Info: Loss is 0.361\n",
-      "└ @ MLJFlux /Users/anthony/.julia/packages/MLJFlux/n3YAv/src/core.jl:127\n",
-      "┌ Info: Loss is 0.2921\n",
-      "└ @ MLJFlux /Users/anthony/.julia/packages/MLJFlux/n3YAv/src/core.jl:127\n",
-      "┌ Info: Loss is 0.2478\n",
-      "└ @ MLJFlux /Users/anthony/.julia/packages/MLJFlux/n3YAv/src/core.jl:127\n"
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mTraining machine(ImageClassifier(builder = MyConvBuilder(3, 16, 32, 32), …), …).\n",
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mLoss is 2.291\n",
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mLoss is 2.208\n",
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mLoss is 2.049\n",
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mLoss is 1.685\n",
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mLoss is 1.075\n",
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mLoss is 0.628\n",
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mLoss is 0.4639\n",
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mLoss is 0.361\n",
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mLoss is 0.2921\n",
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mLoss is 0.2478\n"
      ]
     }
    ],
    "source": [
-    "fit!(mach, rows=1:500, verbosity=2);"
+    "fit!(mach, rows=train, verbosity=2);"
    ]
   },
   {
@@ -1172,7 +1213,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -1181,7 +1222,7 @@
        "(training_losses = Float32[2.3242702, 2.2908378, 2.20822, 2.0489829, 1.6850392, 1.0751165, 0.6279615, 0.46388212, 0.36103815, 0.29207793, 0.2478443],)"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1192,16 +1233,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(chain = Chain(Chain(Chain(Conv((3, 3), 1 => 16, relu, pad=1), MaxPool((2, 2)), Conv((3, 3), 16 => 32, relu, pad=1), MaxPool((2, 2)), Conv((3, 3), 32 => 32, relu, pad=1), MaxPool((2, 2)), make2d), Dense(288 => 10)), softmax),)"
+       "(chain = Chain(Chain(Chain(Conv((3, 3), 1 => 16, relu, pad=1), MaxPool((2, 2)), Conv((3, 3), 16 => 32, relu, pad=1), MaxPool((2, 2)), Conv((3, 3), 32 => 32, relu, pad=1), MaxPool((2, 2)), flatten), Dense(288 => 10)), softmax),)"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1212,7 +1253,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
@@ -1237,7 +1278,7 @@
        "  0.05152524"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1255,22 +1296,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "┌ Info: Updating machine(ImageClassifier(builder = MyConvBuilder(3, 16, 32, 32), …), …).\n",
-      "└ @ MLJBase /Users/anthony/.julia/packages/MLJBase/Fl6Zc/src/machines.jl:499\n",
-      "\u001b[33mOptimising neural net: 100%[=========================] Time: 0:00:07\u001b[39m\n"
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mUpdating machine(ImageClassifier(builder = MyConvBuilder(3, 16, 32, 32), …), …).\n",
+      "\u001b[33mOptimising neural net: 100%[=========================] Time: 0:01:54\u001b[39m\n"
      ]
     }
    ],
    "source": [
     "clf.epochs = clf.epochs + 20\n",
-    "fit!(mach, rows=1:500);"
+    "fit!(mach, rows=train);"
    ]
   },
   {
@@ -1282,23 +1322,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "0.36284238f0"
+       "0.36284237158113225"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "predicted_labels = predict(mach, rows=501:1000);\n",
-    "cross_entropy(predicted_labels, labels[501:1000]) |> mean"
+    "predicted_labels = predict(mach, rows=test);\n",
+    "cross_entropy(predicted_labels, labels[test])"
    ]
   },
   {
@@ -1310,26 +1350,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
        "PerformanceEvaluation object with these fields:\n",
-       "  measure, operation, measurement, per_fold,\n",
-       "  per_observation, fitted_params_per_fold,\n",
-       "  report_per_fold, train_test_rows\n",
+       "  model, measure, operation,\n",
+       "  measurement, per_fold, per_observation,\n",
+       "  fitted_params_per_fold, report_per_fold,\n",
+       "  train_test_rows, resampling, repeats\n",
        "Extract:\n",
-       "┌────────────────────────────────┬───────────┬─────────────┬────────────────┐\n",
-       "│\u001b[22m measure                        \u001b[0m│\u001b[22m operation \u001b[0m│\u001b[22m measurement \u001b[0m│\u001b[22m per_fold       \u001b[0m│\n",
-       "├────────────────────────────────┼───────────┼─────────────┼────────────────┤\n",
-       "│ LogLoss(                       │ predict   │ 0.363       │ Float32[0.363] │\n",
-       "│   tol = 2.220446049250313e-16) │           │             │                │\n",
-       "└────────────────────────────────┴───────────┴─────────────┴────────────────┘\n"
+       "┌──────────────────────┬───────────┬─────────────┐\n",
+       "│\u001b[22m measure              \u001b[0m│\u001b[22m operation \u001b[0m│\u001b[22m measurement \u001b[0m│\n",
+       "├──────────────────────┼───────────┼─────────────┤\n",
+       "│ LogLoss(             │ predict   │ 0.363       │\n",
+       "│   tol = 2.22045e-16) │           │             │\n",
+       "└──────────────────────┴───────────┴─────────────┘\n"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1374,22 +1415,12 @@
    "source": [
     "- `Patience(3)`: 3 consecutive increases in the loss\n",
     "- `InvalidValue()`: an out-of-sample loss, or a training loss, is `NaN`, `Inf`, or `-Inf`\n",
-    "- `TimeLimit(t=5/60)`: training time has exceeded 5 minutes"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
+    "- `TimeLimit(t=5/60)`: training time has exceeded 5 minutes\n",
+    "\n",
     "These checks (and other controls) will be applied every two epochs\n",
     "(because of the `Step(2)` control). Additionally, training a\n",
-    "machine bound to `iterated_clf` will:"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
+    "machine bound to `iterated_clf` will:\n",
+    "\n",
     "- save a snapshot of the machine every three control cycles (every six epochs)\n",
     "- record traces of the out-of-sample loss and training losses for plotting\n",
     "- record mean value traces of each Flux parameter for plotting"
@@ -1417,16 +1448,6 @@
     "Some helpers"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "make2d(x::AbstractArray) = reshape(x, :, size(x)[end])\n",
-    "make1d(x::AbstractArray) = reshape(x, length(x));"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -1436,11 +1457,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [],
    "source": [
-    "parameters(mach) = make1d.(Flux.params(fitted_params(mach)));"
+    "parameters(mach) = vec.(Flux.params(fitted_params(mach)));"
    ]
   },
   {
@@ -1452,7 +1473,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
@@ -1461,7 +1482,7 @@
        "Any[]"
       ]
      },
-     "execution_count": 19,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1482,7 +1503,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
@@ -1491,7 +1512,7 @@
        "update_epochs (generic function with 1 method)"
       ]
      },
-     "execution_count": 20,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1512,23 +1533,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [],
    "source": [
     "save_control =\n",
     "    MLJIteration.skip(Save(joinpath(DIR, \"mnist.jls\")), predicate=3)\n",
     "\n",
-    "controls=[Step(2),\n",
-    "          Patience(3),\n",
-    "          InvalidValue(),\n",
-    "          TimeLimit(5/60),\n",
-    "          save_control,\n",
-    "          WithLossDo(),\n",
-    "          WithLossDo(update_loss),\n",
-    "          WithTrainingLossesDo(update_training_loss),\n",
-    "          Callback(update_means),\n",
-    "          WithIterationsDo(update_epochs)\n",
+    "controls=[\n",
+    "    Step(2),\n",
+    "    Patience(3),\n",
+    "    InvalidValue(),\n",
+    "    TimeLimit(5/60),\n",
+    "    save_control,\n",
+    "    WithLossDo(),\n",
+    "    WithLossDo(update_loss),\n",
+    "    WithTrainingLossesDo(update_training_loss),\n",
+    "    Callback(update_means),\n",
+    "    WithIterationsDo(update_epochs),\n",
     "];"
    ]
   },
@@ -1541,7 +1563,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
@@ -1565,8 +1587,7 @@
        "        fraction_train = 0.7, \n",
        "        shuffle = false, \n",
        "        rng = Random._GLOBAL_RNG()), \n",
-       "  measure = LogLoss(\n",
-       "        tol = 2.220446049250313e-16), \n",
+       "  measure = LogLoss(tol = 2.22045e-16), \n",
        "  weights = nothing, \n",
        "  class_weights = nothing, \n",
        "  operation = MLJModelInterface.predict, \n",
@@ -1576,16 +1597,18 @@
        "  cache = true)"
       ]
      },
-     "execution_count": 22,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "iterated_clf = IteratedModel(model=clf,\n",
-    "                       controls=controls,\n",
-    "                       resampling=Holdout(fraction_train=0.7),\n",
-    "                       measure=log_loss)"
+    "iterated_clf = IteratedModel(\n",
+    "    clf,\n",
+    "    controls=controls,\n",
+    "    resampling=Holdout(fraction_train=0.7),\n",
+    "    measure=log_loss,\n",
+    ")"
    ]
   },
   {
@@ -1597,7 +1620,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1613,58 +1636,38 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "┌ Info: Training machine(ProbabilisticIteratedModel(model = ImageClassifier(builder = MyConvBuilder(3, 16, 32, 32), …), …), …).\n",
-      "└ @ MLJBase /Users/anthony/.julia/packages/MLJBase/Fl6Zc/src/machines.jl:498\n",
-      "┌ Info: No iteration parameter specified. Using `iteration_parameter=:(epochs)`. \n",
-      "└ @ MLJIteration /Users/anthony/.julia/packages/MLJIteration/J0pbp/src/core.jl:62\n",
-      "┌ Info: loss: 2.224743\n",
-      "└ @ IterationControl /Users/anthony/.julia/packages/IterationControl/wJWPx/src/controls.jl:278\n",
-      "┌ Info: loss: 1.968148\n",
-      "└ @ IterationControl /Users/anthony/.julia/packages/IterationControl/wJWPx/src/controls.jl:278\n",
-      "┌ Info: Saving \"/Users/anthony/GoogleDrive/Julia/MLJ/MLJFlux/examples/mnist/mnist1.jls\". \n",
-      "└ @ MLJIteration /Users/anthony/.julia/packages/MLJIteration/J0pbp/src/controls.jl:203\n",
-      "┌ Info: loss: 1.2209107\n",
-      "└ @ IterationControl /Users/anthony/.julia/packages/IterationControl/wJWPx/src/controls.jl:278\n",
-      "┌ Info: loss: 0.5940933\n",
-      "└ @ IterationControl /Users/anthony/.julia/packages/IterationControl/wJWPx/src/controls.jl:278\n",
-      "┌ Info: loss: 0.46833506\n",
-      "└ @ IterationControl /Users/anthony/.julia/packages/IterationControl/wJWPx/src/controls.jl:278\n",
-      "┌ Info: Saving \"/Users/anthony/GoogleDrive/Julia/MLJ/MLJFlux/examples/mnist/mnist2.jls\". \n",
-      "└ @ MLJIteration /Users/anthony/.julia/packages/MLJIteration/J0pbp/src/controls.jl:203\n",
-      "┌ Info: loss: 0.42414027\n",
-      "└ @ IterationControl /Users/anthony/.julia/packages/IterationControl/wJWPx/src/controls.jl:278\n",
-      "┌ Info: loss: 0.40840885\n",
-      "└ @ IterationControl /Users/anthony/.julia/packages/IterationControl/wJWPx/src/controls.jl:278\n",
-      "┌ Info: loss: 0.40475494\n",
-      "└ @ IterationControl /Users/anthony/.julia/packages/IterationControl/wJWPx/src/controls.jl:278\n",
-      "┌ Info: Saving \"/Users/anthony/GoogleDrive/Julia/MLJ/MLJFlux/examples/mnist/mnist3.jls\". \n",
-      "└ @ MLJIteration /Users/anthony/.julia/packages/MLJIteration/J0pbp/src/controls.jl:203\n",
-      "┌ Info: loss: 0.40977737\n",
-      "└ @ IterationControl /Users/anthony/.julia/packages/IterationControl/wJWPx/src/controls.jl:278\n",
-      "┌ Info: loss: 0.42039925\n",
-      "└ @ IterationControl /Users/anthony/.julia/packages/IterationControl/wJWPx/src/controls.jl:278\n",
-      "┌ Info: loss: 0.4321642\n",
-      "└ @ IterationControl /Users/anthony/.julia/packages/IterationControl/wJWPx/src/controls.jl:278\n",
-      "┌ Info: final loss: 0.4321642\n",
-      "└ @ IterationControl /Users/anthony/.julia/packages/IterationControl/wJWPx/src/train.jl:44\n",
-      "┌ Info: final training loss: 0.043363843\n",
-      "└ @ IterationControl /Users/anthony/.julia/packages/IterationControl/wJWPx/src/train.jl:46\n",
-      "┌ Info: Stop triggered by Patience(3) stopping criterion. \n",
-      "└ @ IterationControl /Users/anthony/.julia/packages/IterationControl/wJWPx/src/stopping_controls.jl:54\n",
-      "┌ Info: Total of 22 iterations. \n",
-      "└ @ MLJIteration /Users/anthony/.julia/packages/MLJIteration/J0pbp/src/core.jl:35\n"
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mTraining machine(ProbabilisticIteratedModel(model = ImageClassifier(builder = MyConvBuilder(3, 16, 32, 32), …), …), …).\n",
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mNo iteration parameter specified. Using `iteration_parameter=:(epochs)`. \n",
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mloss: 2.2247422992833092\n",
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mloss: 1.9681479167178544\n",
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mSaving \"/Users/anthony/GoogleDrive/Julia/MLJ/MLJFlux/examples/mnist/mnist1.jls\". \n",
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mloss: 1.220910971646785\n",
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mloss: 0.5940933327640742\n",
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mloss: 0.46833501799372196\n",
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mSaving \"/Users/anthony/GoogleDrive/Julia/MLJ/MLJFlux/examples/mnist/mnist2.jls\". \n",
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mloss: 0.4241402839593314\n",
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mloss: 0.40840895980242126\n",
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mloss: 0.404754883332919\n",
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mSaving \"/Users/anthony/GoogleDrive/Julia/MLJ/MLJFlux/examples/mnist/mnist3.jls\". \n",
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mloss: 0.4097772917650752\n",
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mloss: 0.420399235463716\n",
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mloss: 0.43216415903189187\n",
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mfinal loss: 0.43216415903189187\n",
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mfinal training loss: 0.043363843\n",
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mStop triggered by Patience(3) stopping criterion. \n",
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mTotal of 22 iterations. \n"
      ]
     }
    ],
    "source": [
-    "fit!(mach, rows=1:500);"
+    "fit!(mach, rows=train);"
    ]
   },
   {
@@ -1676,14 +1679,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 26,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "\"/Users/anthony/GoogleDrive/Julia/MLJ/MLJFlux/examples/mnist/loss.png\""
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "plot(epochs, losses,\n",
-    "     xlab = \"epoch\",\n",
-    "     ylab = \"cross entropy\",\n",
-    "     label=\"out-of-sample\")\n",
+    "plot(\n",
+    "    epochs,\n",
+    "    losses,\n",
+    "    xlab = \"epoch\",\n",
+    "    ylab = \"cross entropy\",\n",
+    "    label=\"out-of-sample\",\n",
+    ")\n",
     "plot!(epochs, training_losses, label=\"training\")\n",
     "\n",
     "savefig(joinpath(DIR, \"loss.png\"))"
@@ -1698,167 +1715,138 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
      "data": {
+      "image/png": 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       ]
      },
-     "execution_count": 26,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1867,23 +1855,37 @@
     "n_epochs =  length(losses)\n",
     "n_parameters = div(length(parameter_means), n_epochs)\n",
     "parameter_means2 = reshape(copy(parameter_means), n_parameters, n_epochs)'\n",
-    "plot(epochs, parameter_means2,\n",
-    "     title=\"Flux parameter mean weights\",\n",
-    "     xlab = \"epoch\")"
+    "plot(\n",
+    "    epochs,\n",
+    "    parameter_means2,\n",
+    "    title=\"Flux parameter mean weights\",\n",
+    "    xlab = \"epoch\",\n",
+    ")"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "**Note.** The the higher the number, the deeper the chain parameter."
+    "**Note.** The higher the number, the deeper the layer we are weight-averaging."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 28,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "\"/Users/anthony/GoogleDrive/Julia/MLJ/MLJFlux/examples/mnist/weights.png\""
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "savefig(joinpath(DIR, \"weights.png\"))"
    ]
@@ -1897,70 +1899,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [
     {
-     "ename": "LoadError",
-     "evalue": "UndefVarError: ##364 not defined",
-     "output_type": "error",
-     "traceback": [
-      "UndefVarError: ##364 not defined",
-      "",
-      "Stacktrace:",
-      "  [1] deserialize_module(s::Serialization.Serializer{IOStream})",
-      "    @ Serialization /Applications/Julia-1.7.app/Contents/Resources/julia/share/julia/stdlib/v1.7/Serialization/src/Serialization.jl:984",
-      "  [2] handle_deserialize(s::Serialization.Serializer{IOStream}, b::Int32)",
-      "    @ Serialization /Applications/Julia-1.7.app/Contents/Resources/julia/share/julia/stdlib/v1.7/Serialization/src/Serialization.jl:883",
-      "  [3] deserialize(s::Serialization.Serializer{IOStream})",
-      "    @ Serialization /Applications/Julia-1.7.app/Contents/Resources/julia/share/julia/stdlib/v1.7/Serialization/src/Serialization.jl:801",
-      "  [4] deserialize_datatype(s::Serialization.Serializer{IOStream}, full::Bool)",
-      "    @ Serialization /Applications/Julia-1.7.app/Contents/Resources/julia/share/julia/stdlib/v1.7/Serialization/src/Serialization.jl:1331",
-      "  [5] handle_deserialize(s::Serialization.Serializer{IOStream}, b::Int32)",
-      "    @ Serialization /Applications/Julia-1.7.app/Contents/Resources/julia/share/julia/stdlib/v1.7/Serialization/src/Serialization.jl:854",
-      "  [6] deserialize(s::Serialization.Serializer{IOStream})",
-      "    @ Serialization /Applications/Julia-1.7.app/Contents/Resources/julia/share/julia/stdlib/v1.7/Serialization/src/Serialization.jl:801",
-      "  [7] deserialize_datatype(s::Serialization.Serializer{IOStream}, full::Bool)",
-      "    @ Serialization /Applications/Julia-1.7.app/Contents/Resources/julia/share/julia/stdlib/v1.7/Serialization/src/Serialization.jl:1356",
-      "  [8] handle_deserialize(s::Serialization.Serializer{IOStream}, b::Int32)",
-      "    @ Serialization /Applications/Julia-1.7.app/Contents/Resources/julia/share/julia/stdlib/v1.7/Serialization/src/Serialization.jl:854",
-      "  [9] deserialize(s::Serialization.Serializer{IOStream})",
-      "    @ Serialization /Applications/Julia-1.7.app/Contents/Resources/julia/share/julia/stdlib/v1.7/Serialization/src/Serialization.jl:801",
-      " [10] deserialize_datatype(s::Serialization.Serializer{IOStream}, full::Bool)",
-      "    @ Serialization /Applications/Julia-1.7.app/Contents/Resources/julia/share/julia/stdlib/v1.7/Serialization/src/Serialization.jl:1356",
-      " [11] handle_deserialize(s::Serialization.Serializer{IOStream}, b::Int32)",
-      "    @ Serialization /Applications/Julia-1.7.app/Contents/Resources/julia/share/julia/stdlib/v1.7/Serialization/src/Serialization.jl:854",
-      " [12] deserialize(s::Serialization.Serializer{IOStream})",
-      "    @ Serialization /Applications/Julia-1.7.app/Contents/Resources/julia/share/julia/stdlib/v1.7/Serialization/src/Serialization.jl:801",
-      " [13] handle_deserialize(s::Serialization.Serializer{IOStream}, b::Int32)",
-      "    @ Serialization /Applications/Julia-1.7.app/Contents/Resources/julia/share/julia/stdlib/v1.7/Serialization/src/Serialization.jl:869",
-      " [14] deserialize(s::Serialization.Serializer{IOStream})",
-      "    @ Serialization /Applications/Julia-1.7.app/Contents/Resources/julia/share/julia/stdlib/v1.7/Serialization/src/Serialization.jl:801",
-      " [15] handle_deserialize(s::Serialization.Serializer{IOStream}, b::Int32)",
-      "    @ Serialization /Applications/Julia-1.7.app/Contents/Resources/julia/share/julia/stdlib/v1.7/Serialization/src/Serialization.jl:907",
-      " [16] deserialize",
-      "    @ /Applications/Julia-1.7.app/Contents/Resources/julia/share/julia/stdlib/v1.7/Serialization/src/Serialization.jl:801 [inlined]",
-      " [17] deserialize(s::IOStream)",
-      "    @ Serialization /Applications/Julia-1.7.app/Contents/Resources/julia/share/julia/stdlib/v1.7/Serialization/src/Serialization.jl:788",
-      " [18] open(f::typeof(Serialization.deserialize), args::String; kwargs::Base.Pairs{Symbol, Union{}, Tuple{}, NamedTuple{(), Tuple{}}})",
-      "    @ Base ./io.jl:330",
-      " [19] open",
-      "    @ ./io.jl:328 [inlined]",
-      " [20] deserialize",
-      "    @ /Applications/Julia-1.7.app/Contents/Resources/julia/share/julia/stdlib/v1.7/Serialization/src/Serialization.jl:798 [inlined]",
-      " [21] machine(file::String)",
-      "    @ MLJBase ~/.julia/packages/MLJBase/Fl6Zc/src/machines.jl:406",
-      " [22] top-level scope",
-      "    @ In[28]:1",
-      " [23] eval",
-      "    @ ./boot.jl:373 [inlined]",
-      " [24] include_string(mapexpr::typeof(REPL.softscope), mod::Module, code::String, filename::String)",
-      "    @ Base ./loading.jl:1196"
-     ]
+     "data": {
+      "text/plain": [
+       "3-element CategoricalArrays.CategoricalArray{Int64,1,UInt32}:\n",
+       " 7\n",
+       " 9\n",
+       " 5"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "mach2 = machine(joinpath(DIR, \"mnist3.jlso\"))\n",
+    "mach2 = machine(joinpath(DIR, \"mnist3.jls\"))\n",
     "predict_mode(mach2, images[501:503])"
    ]
   },
@@ -1981,171 +1938,150 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "┌ Info: Updating machine(ProbabilisticIteratedModel(model = ImageClassifier(builder = MyConvBuilder(3, 16, 32, 32), …), …), …).\n",
-      "└ @ MLJBase /Users/anthony/.julia/packages/MLJBase/Fl6Zc/src/machines.jl:499\n",
-      "┌ Info: loss: 0.444918\n",
-      "└ @ IterationControl /Users/anthony/.julia/packages/IterationControl/wJWPx/src/controls.jl:278\n",
-      "┌ Info: loss: 0.4575673\n",
-      "└ @ IterationControl /Users/anthony/.julia/packages/IterationControl/wJWPx/src/controls.jl:278\n",
-      "┌ Info: Saving \"/Users/anthony/GoogleDrive/Julia/MLJ/MLJFlux/examples/mnist/mnist1.jls\". \n",
-      "└ @ MLJIteration /Users/anthony/.julia/packages/MLJIteration/J0pbp/src/controls.jl:203\n",
-      "┌ Info: loss: 0.46934554\n",
-      "└ @ IterationControl /Users/anthony/.julia/packages/IterationControl/wJWPx/src/controls.jl:278\n",
-      "┌ Info: loss: 0.48012888\n",
-      "└ @ IterationControl /Users/anthony/.julia/packages/IterationControl/wJWPx/src/controls.jl:278\n",
-      "┌ Info: loss: 0.49023148\n",
-      "└ @ IterationControl /Users/anthony/.julia/packages/IterationControl/wJWPx/src/controls.jl:278\n",
-      "┌ Info: final loss: 0.49023148\n",
-      "└ @ IterationControl /Users/anthony/.julia/packages/IterationControl/wJWPx/src/train.jl:44\n",
-      "┌ Info: final training loss: 0.010609009\n",
-      "└ @ IterationControl /Users/anthony/.julia/packages/IterationControl/wJWPx/src/train.jl:46\n",
-      "┌ Info: Stop triggered by Patience(4) stopping criterion. \n",
-      "└ @ IterationControl /Users/anthony/.julia/packages/IterationControl/wJWPx/src/stopping_controls.jl:54\n",
-      "┌ Info: Total of 32 iterations. \n",
-      "└ @ MLJIteration /Users/anthony/.julia/packages/MLJIteration/J0pbp/src/core.jl:35\n"
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mUpdating machine(ProbabilisticIteratedModel(model = ImageClassifier(builder = MyConvBuilder(3, 16, 32, 32), …), …), …).\n",
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mloss: 0.4449181129617429\n",
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mloss: 0.4575672614002921\n",
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mSaving \"/Users/anthony/GoogleDrive/Julia/MLJ/MLJFlux/examples/mnist/mnist1.jls\". \n",
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mloss: 0.4693455717095324\n",
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mloss: 0.48012884529192995\n",
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mloss: 0.49023152105995377\n",
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mfinal loss: 0.49023152105995377\n",
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mfinal training loss: 0.010609009\n",
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mStop triggered by Patience(4) stopping criterion. \n",
+      "\u001b[36m\u001b[1m[ \u001b[22m\u001b[39m\u001b[36m\u001b[1mInfo: \u001b[22m\u001b[39mTotal of 32 iterations. \n"
      ]
     },
     {
      "data": {
+      "image/png": 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+       "<path clip-path=\"url(#clip760)\" d=\"M1942.14 177.096 L1942.14 184.456 L1950.91 184.456 L1950.91 187.765 L1942.14 187.765 L1942.14 201.837 Q1942.14 205.007 1943 205.91 Q1943.87 206.812 1946.54 206.812 L1950.91 206.812 L1950.91 210.377 L1946.54 210.377 Q1941.61 210.377 1939.73 208.548 Q1937.86 206.697 1937.86 201.837 L1937.86 187.765 L1934.73 187.765 L1934.73 184.456 L1937.86 184.456 L1937.86 177.096 L1942.14 177.096 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip760)\" d=\"M1971.54 188.436 Q1970.82 188.02 1969.96 187.835 Q1969.13 187.626 1968.11 187.626 Q1964.5 187.626 1962.56 189.987 Q1960.63 192.325 1960.63 196.722 L1960.63 210.377 L1956.35 210.377 L1956.35 184.456 L1960.63 184.456 L1960.63 188.483 Q1961.98 186.122 1964.13 184.988 Q1966.28 183.831 1969.36 183.831 Q1969.8 183.831 1970.33 183.9 Q1970.87 183.947 1971.51 184.062 L1971.54 188.436 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip760)\" d=\"M1987.79 197.347 Q1982.62 197.347 1980.63 198.527 Q1978.64 199.707 1978.64 202.554 Q1978.64 204.822 1980.12 206.164 Q1981.63 207.484 1984.2 207.484 Q1987.74 207.484 1989.87 204.984 Q1992.02 202.461 1992.02 198.296 L1992.02 197.347 L1987.79 197.347 M1996.28 195.588 L1996.28 210.377 L1992.02 210.377 L1992.02 206.442 Q1990.56 208.803 1988.39 209.937 Q1986.21 211.048 1983.06 211.048 Q1979.08 211.048 1976.72 208.826 Q1974.38 206.581 1974.38 202.832 Q1974.38 198.458 1977.3 196.236 Q1980.24 194.014 1986.05 194.014 L1992.02 194.014 L1992.02 193.597 Q1992.02 190.658 1990.08 189.061 Q1988.16 187.441 1984.66 187.441 Q1982.44 187.441 1980.33 187.974 Q1978.23 188.506 1976.28 189.57 L1976.28 185.636 Q1978.62 184.733 1980.82 184.294 Q1983.02 183.831 1985.1 183.831 Q1990.73 183.831 1993.5 186.747 Q1996.28 189.663 1996.28 195.588 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip760)\" d=\"M2005.06 184.456 L2009.31 184.456 L2009.31 210.377 L2005.06 210.377 L2005.06 184.456 M2005.06 174.365 L2009.31 174.365 L2009.31 179.758 L2005.06 179.758 L2005.06 174.365 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip760)\" d=\"M2039.78 194.731 L2039.78 210.377 L2035.52 210.377 L2035.52 194.87 Q2035.52 191.19 2034.08 189.362 Q2032.65 187.534 2029.78 187.534 Q2026.33 187.534 2024.34 189.732 Q2022.35 191.931 2022.35 195.727 L2022.35 210.377 L2018.06 210.377 L2018.06 184.456 L2022.35 184.456 L2022.35 188.483 Q2023.87 186.145 2025.93 184.988 Q2028.02 183.831 2030.73 183.831 Q2035.19 183.831 2037.49 186.608 Q2039.78 189.362 2039.78 194.731 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip760)\" d=\"M2048.27 184.456 L2052.53 184.456 L2052.53 210.377 L2048.27 210.377 L2048.27 184.456 M2048.27 174.365 L2052.53 174.365 L2052.53 179.758 L2048.27 179.758 L2048.27 174.365 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip760)\" d=\"M2082.99 194.731 L2082.99 210.377 L2078.74 210.377 L2078.74 194.87 Q2078.74 191.19 2077.3 189.362 Q2075.86 187.534 2072.99 187.534 Q2069.55 187.534 2067.55 189.732 Q2065.56 191.931 2065.56 195.727 L2065.56 210.377 L2061.28 210.377 L2061.28 184.456 L2065.56 184.456 L2065.56 188.483 Q2067.09 186.145 2069.15 184.988 Q2071.24 183.831 2073.94 183.831 Q2078.41 183.831 2080.7 186.608 Q2082.99 189.362 2082.99 194.731 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /><path clip-path=\"url(#clip760)\" d=\"M2108.55 197.115 Q2108.55 192.487 2106.63 189.941 Q2104.73 187.395 2101.28 187.395 Q2097.86 187.395 2095.93 189.941 Q2094.04 192.487 2094.04 197.115 Q2094.04 201.721 2095.93 204.267 Q2097.86 206.812 2101.28 206.812 Q2104.73 206.812 2106.63 204.267 Q2108.55 201.721 2108.55 197.115 M2112.81 207.16 Q2112.81 213.779 2109.87 216.996 Q2106.93 220.236 2100.86 220.236 Q2098.62 220.236 2096.63 219.889 Q2094.64 219.565 2092.76 218.87 L2092.76 214.728 Q2094.64 215.746 2096.47 216.232 Q2098.3 216.718 2100.19 216.718 Q2104.38 216.718 2106.47 214.519 Q2108.55 212.344 2108.55 207.923 L2108.55 205.817 Q2107.23 208.108 2105.17 209.243 Q2103.11 210.377 2100.24 210.377 Q2095.47 210.377 2092.55 206.743 Q2089.64 203.109 2089.64 197.115 Q2089.64 191.098 2092.55 187.464 Q2095.47 183.831 2100.24 183.831 Q2103.11 183.831 2105.17 184.965 Q2107.23 186.099 2108.55 188.39 L2108.55 184.456 L2112.81 184.456 L2112.81 207.16 Z\" fill=\"#000000\" fill-rule=\"nonzero\" fill-opacity=\"1\" /></svg>\n"
       ]
      },
-     "execution_count": 29,
+     "execution_count": 30,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "iterated_clf.controls[2] = Patience(4)\n",
-    "fit!(mach, rows=1:500)\n",
+    "fit!(mach, rows=train)\n",
     "\n",
-    "plot(epochs, losses,\n",
-    "     xlab = \"epoch\",\n",
-    "     ylab = \"cross entropy\",\n",
-    "     label=\"out-of-sample\")\n",
+    "plot(\n",
+    "    epochs,\n",
+    "    losses,\n",
+    "    xlab = \"epoch\",\n",
+    "    ylab = \"cross entropy\",\n",
+    "    label=\"out-of-sample\",\n",
+    ")\n",
     "plot!(epochs, training_losses, label=\"training\")"
    ]
   },
@@ -2161,17 +2097,17 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Julia 1.7.3",
+   "display_name": "Julia 1.10.3",
    "language": "julia",
-   "name": "julia-1.7"
+   "name": "julia-1.10"
   },
   "language_info": {
    "file_extension": ".jl",
    "mimetype": "application/julia",
    "name": "julia",
-   "version": "1.7.3"
+   "version": "1.10.3"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 3
+ "nbformat_minor": 4
 }
diff --git a/examples/mnist/notebook.jl b/examples/mnist/notebook.jl
index b9a99c24..da7978d2 100644
--- a/examples/mnist/notebook.jl
+++ b/examples/mnist/notebook.jl
@@ -1,18 +1,20 @@
 # # Using MLJ to classifiy the MNIST image dataset
 
-
 using Pkg
 const DIR = @__DIR__
 Pkg.activate(DIR)
 Pkg.instantiate()
 
-# **Julia version** is assumed to be ^1.7
+# **Julia version** is assumed to be ^1.10
 
 using MLJ
 using Flux
 import MLJFlux
+import MLUtils
 import MLJIteration # for `skip`
 
+# If running on a GPU, you will also need to `import CUDA` and `import cuDNN`.
+
 using Plots
 gr(size=(600, 300*(sqrt(5)-1)));
 
@@ -23,7 +25,7 @@ gr(size=(600, 300*(sqrt(5)-1)));
 import MLDatasets: MNIST
 
 ENV["DATADEPS_ALWAYS_ACCEPT"] = true
-images, labels = MNIST.traindata();
+images, labels = MNIST(split=:train)[:];
 
 # In MLJ, integers cannot be used for encoding categorical data, so we
 # must force the labels to have the `Multiclass` [scientific
@@ -63,8 +65,6 @@ struct MyConvBuilder
     channels3::Int
 end
 
-make2d(x::AbstractArray) = reshape(x, :, size(x)[end])
-
 function MLJFlux.build(b::MyConvBuilder, rng, n_in, n_out, n_channels)
     k, c1, c2, c3 = b.filter_size, b.channels1, b.channels2, b.channels3
     mod(k, 2) == 1 || error("`filter_size` must be odd. ")
@@ -77,35 +77,46 @@ function MLJFlux.build(b::MyConvBuilder, rng, n_in, n_out, n_channels)
         MaxPool((2, 2)),
         Conv((k, k), c2 => c3, pad=(p, p), relu, init=init),
         MaxPool((2 ,2)),
-        make2d)
+        MLUtils.flatten)
     d = Flux.outputsize(front, (n_in..., n_channels, 1)) |> first
     return Chain(front, Dense(d, n_out, init=init))
 end
 
-# **Note.** There is no final `softmax` here, as this is applied by
-# default in all MLJFLux classifiers. Customisation of this behaviour
-# is controlled using using the `finaliser` hyperparameter of the
-# classifier.
+# **Notes.**
 
-# We now define the MLJ model. If you have a GPU, substitute
-# `acceleration=CUDALibs()` below:
+# - There is no final `softmax` here, as this is applied by default in all MLJFLux
+#   classifiers. Customisation of this behaviour is controlled using using the `finaliser`
+#   hyperparameter of the classifier.
+#
+# - Instead of calculating the padding `p`, Flux can infer the required padding in each
+#   dimension, which you enable by replacing `pad = (p, p)` with `pad = SamePad()`.
+
+# We now define the MLJ model.
 
 ImageClassifier = @load ImageClassifier
-clf = ImageClassifier(builder=MyConvBuilder(3, 16, 32, 32),
-                      batch_size=50,
-                      epochs=10,
-                      rng=123)
+clf = ImageClassifier(
+    builder=MyConvBuilder(3, 16, 32, 32),
+    batch_size=50,
+    epochs=10,
+    rng=123,
+)
+
+# You can add Flux options `optimiser=...` and `loss=...` in the above constructor
+# call. At present, `loss` must be a Flux-compatible loss, not an MLJ measure. To run on a
+# GPU, add to the constructor `acceleration=CUDALib()` and omit `rng`.
+
+# For illustration purposes, we won't use all the data here:
+
+train = 1:500
+test = 501:1000
 
-# You can add Flux options `optimiser=...` and `loss=...` here. At
-# present, `loss` must be a Flux-compatible loss, not an MLJ
-# measure. To run on a GPU, set `acceleration=CUDALib()`.
 
 # Binding the model with data in an MLJ machine:
 mach = machine(clf, images, labels);
 
 # Training for 10 epochs on the first 500 images:
 
-fit!(mach, rows=1:500, verbosity=2);
+fit!(mach, rows=train, verbosity=2);
 
 # Inspecting:
 
@@ -124,14 +135,14 @@ Flux.params(chain)[2]
 # Adding 20 more epochs:
 
 clf.epochs = clf.epochs + 20
-fit!(mach, rows=1:500);
+fit!(mach, rows=train);
 
 # Computing an out-of-sample estimate of the loss:
 
-predicted_labels = predict(mach, rows=501:1000);
-cross_entropy(predicted_labels, labels[501:1000]) |> mean
+predicted_labels = predict(mach, rows=test);
+cross_entropy(predicted_labels, labels[test])
 
-# Or, in one line:
+# Or to fit and predict, in one line:
 
 evaluate!(mach,
           resampling=Holdout(fraction_train=0.5),
@@ -154,11 +165,11 @@ evaluate!(mach,
 # - `Patience(3)`: 3 consecutive increases in the loss
 # - `InvalidValue()`: an out-of-sample loss, or a training loss, is `NaN`, `Inf`, or `-Inf`
 # - `TimeLimit(t=5/60)`: training time has exceeded 5 minutes
-
+#
 # These checks (and other controls) will be applied every two epochs
 # (because of the `Step(2)` control). Additionally, training a
 # machine bound to `iterated_clf` will:
-
+#
 # - save a snapshot of the machine every three control cycles (every six epochs)
 # - record traces of the out-of-sample loss and training losses for plotting
 # - record mean value traces of each Flux parameter for plotting
@@ -170,12 +181,9 @@ evaluate!(mach,
 
 # Some helpers
 
-make2d(x::AbstractArray) = reshape(x, :, size(x)[end])
-make1d(x::AbstractArray) = reshape(x, length(x));
-
 # To extract Flux params from an MLJFlux machine
 
-parameters(mach) = make1d.(Flux.params(fitted_params(mach)));
+parameters(mach) = vec.(Flux.params(fitted_params(mach)));
 
 # To store the traces:
 
@@ -196,24 +204,27 @@ update_epochs(epoch) = push!(epochs, epoch)
 save_control =
     MLJIteration.skip(Save(joinpath(DIR, "mnist.jls")), predicate=3)
 
-controls=[Step(2),
-          Patience(3),
-          InvalidValue(),
-          TimeLimit(5/60),
-          save_control,
-          WithLossDo(),
-          WithLossDo(update_loss),
-          WithTrainingLossesDo(update_training_loss),
-          Callback(update_means),
-          WithIterationsDo(update_epochs)
+controls=[
+    Step(2),
+    Patience(3),
+    InvalidValue(),
+    TimeLimit(5/60),
+    save_control,
+    WithLossDo(),
+    WithLossDo(update_loss),
+    WithTrainingLossesDo(update_training_loss),
+    Callback(update_means),
+    WithIterationsDo(update_epochs),
 ];
 
 # The "self-iterating" classifier:
 
-iterated_clf = IteratedModel(model=clf,
-                       controls=controls,
-                       resampling=Holdout(fraction_train=0.7),
-                       measure=log_loss)
+iterated_clf = IteratedModel(
+    clf,
+    controls=controls,
+    resampling=Holdout(fraction_train=0.7),
+    measure=log_loss,
+)
 
 # ### Binding the wrapped model to data:
 
@@ -222,14 +233,17 @@ mach = machine(iterated_clf, images, labels);
 
 # ### Training
 
-fit!(mach, rows=1:500);
+fit!(mach, rows=train);
 
 # ### Comparison of the training and out-of-sample losses:
 
-plot(epochs, losses,
-     xlab = "epoch",
-     ylab = "cross entropy",
-     label="out-of-sample")
+plot(
+    epochs,
+    losses,
+    xlab = "epoch",
+    ylab = "cross entropy",
+    label="out-of-sample",
+)
 plot!(epochs, training_losses, label="training")
 
 savefig(joinpath(DIR, "loss.png"))
@@ -239,18 +253,21 @@ savefig(joinpath(DIR, "loss.png"))
 n_epochs =  length(losses)
 n_parameters = div(length(parameter_means), n_epochs)
 parameter_means2 = reshape(copy(parameter_means), n_parameters, n_epochs)'
-plot(epochs, parameter_means2,
-     title="Flux parameter mean weights",
-     xlab = "epoch")
+plot(
+    epochs,
+    parameter_means2,
+    title="Flux parameter mean weights",
+    xlab = "epoch",
+)
 
-# **Note.** The the higher the number, the deeper the chain parameter.
+# **Note.** The higher the number, the deeper the layer we are weight-averaging. 
 
 savefig(joinpath(DIR, "weights.png"))
 
 
 # ### Retrieving a snapshot for a prediction:
 
-mach2 = machine(joinpath(DIR, "mnist3.jlso"))
+mach2 = machine(joinpath(DIR, "mnist3.jls"))
 predict_mode(mach2, images[501:503])
 
 
@@ -260,11 +277,13 @@ predict_mode(mach2, images[501:503])
 # ignored) will allow you to restart training from where it left off.
 
 iterated_clf.controls[2] = Patience(4)
-fit!(mach, rows=1:500)
-
-plot(epochs, losses,
-     xlab = "epoch",
-     ylab = "cross entropy",
-     label="out-of-sample")
+fit!(mach, rows=train)
+
+plot(
+    epochs,
+    losses,
+    xlab = "epoch",
+    ylab = "cross entropy",
+    label="out-of-sample",
+)
 plot!(epochs, training_losses, label="training")
-
diff --git a/examples/mnist/notebook.unexecuted.ipynb b/examples/mnist/notebook.unexecuted.ipynb
index 3f4a5883..7bca5504 100644
--- a/examples/mnist/notebook.unexecuted.ipynb
+++ b/examples/mnist/notebook.unexecuted.ipynb
@@ -22,7 +22,7 @@
   {
    "cell_type": "markdown",
    "source": [
-    "**Julia version** is assumed to be ^1.7"
+    "**Julia version** is assumed to be ^1.10"
    ],
    "metadata": {}
   },
@@ -33,8 +33,23 @@
     "using MLJ\n",
     "using Flux\n",
     "import MLJFlux\n",
-    "import MLJIteration # for `skip`\n",
-    "\n",
+    "import MLUtils\n",
+    "import MLJIteration # for `skip`"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "If running on a GPU, you will also need to `import CUDA` and `import cuDNN`."
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
     "using Plots\n",
     "gr(size=(600, 300*(sqrt(5)-1)));"
    ],
@@ -62,7 +77,7 @@
     "import MLDatasets: MNIST\n",
     "\n",
     "ENV[\"DATADEPS_ALWAYS_ACCEPT\"] = true\n",
-    "images, labels = MNIST.traindata();"
+    "images, labels = MNIST(split=:train)[:];"
    ],
    "metadata": {},
    "execution_count": null
@@ -155,8 +170,6 @@
     "    channels3::Int\n",
     "end\n",
     "\n",
-    "make2d(x::AbstractArray) = reshape(x, :, size(x)[end])\n",
-    "\n",
     "function MLJFlux.build(b::MyConvBuilder, rng, n_in, n_out, n_channels)\n",
     "    k, c1, c2, c3 = b.filter_size, b.channels1, b.channels2, b.channels3\n",
     "    mod(k, 2) == 1 || error(\"`filter_size` must be odd. \")\n",
@@ -169,7 +182,7 @@
     "        MaxPool((2, 2)),\n",
     "        Conv((k, k), c2 => c3, pad=(p, p), relu, init=init),\n",
     "        MaxPool((2 ,2)),\n",
-    "        make2d)\n",
+    "        MLUtils.flatten)\n",
     "    d = Flux.outputsize(front, (n_in..., n_channels, 1)) |> first\n",
     "    return Chain(front, Dense(d, n_out, init=init))\n",
     "end"
@@ -180,18 +193,26 @@
   {
    "cell_type": "markdown",
    "source": [
-    "**Note.** There is no final `softmax` here, as this is applied by\n",
-    "default in all MLJFLux classifiers. Customisation of this behaviour\n",
-    "is controlled using using the `finaliser` hyperparameter of the\n",
-    "classifier."
+    "**Notes.**"
+   ],
+   "metadata": {}
+  },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "- There is no final `softmax` here, as this is applied by default in all MLJFLux\n",
+    "  classifiers. Customisation of this behaviour is controlled using using the `finaliser`\n",
+    "  hyperparameter of the classifier.\n",
+    "\n",
+    "- Instead of calculating the padding `p`, Flux can infer the required padding in each\n",
+    "  dimension, which you enable by replacing `pad = (p, p)` with `pad = SamePad()`."
    ],
    "metadata": {}
   },
   {
    "cell_type": "markdown",
    "source": [
-    "We now define the MLJ model. If you have a GPU, substitute\n",
-    "`acceleration=CUDALibs()` below:"
+    "We now define the MLJ model."
    ],
    "metadata": {}
   },
@@ -200,10 +221,12 @@
    "cell_type": "code",
    "source": [
     "ImageClassifier = @load ImageClassifier\n",
-    "clf = ImageClassifier(builder=MyConvBuilder(3, 16, 32, 32),\n",
-    "                      batch_size=50,\n",
-    "                      epochs=10,\n",
-    "                      rng=123)"
+    "clf = ImageClassifier(\n",
+    "    builder=MyConvBuilder(3, 16, 32, 32),\n",
+    "    batch_size=50,\n",
+    "    epochs=10,\n",
+    "    rng=123,\n",
+    ")"
    ],
    "metadata": {},
    "execution_count": null
@@ -211,12 +234,29 @@
   {
    "cell_type": "markdown",
    "source": [
-    "You can add Flux options `optimiser=...` and `loss=...` here. At\n",
-    "present, `loss` must be a Flux-compatible loss, not an MLJ\n",
-    "measure. To run on a GPU, set `acceleration=CUDALib()`."
+    "You can add Flux options `optimiser=...` and `loss=...` in the above constructor\n",
+    "call. At present, `loss` must be a Flux-compatible loss, not an MLJ measure. To run on a\n",
+    "GPU, add to the constructor `acceleration=CUDALib()` and omit `rng`."
    ],
    "metadata": {}
   },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "For illustration purposes, we won't use all the data here:"
+   ],
+   "metadata": {}
+  },
+  {
+   "outputs": [],
+   "cell_type": "code",
+   "source": [
+    "train = 1:500\n",
+    "test = 501:1000"
+   ],
+   "metadata": {},
+   "execution_count": null
+  },
   {
    "cell_type": "markdown",
    "source": [
@@ -244,7 +284,7 @@
    "outputs": [],
    "cell_type": "code",
    "source": [
-    "fit!(mach, rows=1:500, verbosity=2);"
+    "fit!(mach, rows=train, verbosity=2);"
    ],
    "metadata": {},
    "execution_count": null
@@ -295,7 +335,7 @@
    "cell_type": "code",
    "source": [
     "clf.epochs = clf.epochs + 20\n",
-    "fit!(mach, rows=1:500);"
+    "fit!(mach, rows=train);"
    ],
    "metadata": {},
    "execution_count": null
@@ -311,8 +351,8 @@
    "outputs": [],
    "cell_type": "code",
    "source": [
-    "predicted_labels = predict(mach, rows=501:1000);\n",
-    "cross_entropy(predicted_labels, labels[501:1000]) |> mean"
+    "predicted_labels = predict(mach, rows=test);\n",
+    "cross_entropy(predicted_labels, labels[test])"
    ],
    "metadata": {},
    "execution_count": null
@@ -368,22 +408,12 @@
    "source": [
     "- `Patience(3)`: 3 consecutive increases in the loss\n",
     "- `InvalidValue()`: an out-of-sample loss, or a training loss, is `NaN`, `Inf`, or `-Inf`\n",
-    "- `TimeLimit(t=5/60)`: training time has exceeded 5 minutes"
-   ],
-   "metadata": {}
-  },
-  {
-   "cell_type": "markdown",
-   "source": [
+    "- `TimeLimit(t=5/60)`: training time has exceeded 5 minutes\n",
+    "\n",
     "These checks (and other controls) will be applied every two epochs\n",
     "(because of the `Step(2)` control). Additionally, training a\n",
-    "machine bound to `iterated_clf` will:"
-   ],
-   "metadata": {}
-  },
-  {
-   "cell_type": "markdown",
-   "source": [
+    "machine bound to `iterated_clf` will:\n",
+    "\n",
     "- save a snapshot of the machine every three control cycles (every six epochs)\n",
     "- record traces of the out-of-sample loss and training losses for plotting\n",
     "- record mean value traces of each Flux parameter for plotting"
@@ -412,16 +442,6 @@
    ],
    "metadata": {}
   },
-  {
-   "outputs": [],
-   "cell_type": "code",
-   "source": [
-    "make2d(x::AbstractArray) = reshape(x, :, size(x)[end])\n",
-    "make1d(x::AbstractArray) = reshape(x, length(x));"
-   ],
-   "metadata": {},
-   "execution_count": null
-  },
   {
    "cell_type": "markdown",
    "source": [
@@ -433,7 +453,7 @@
    "outputs": [],
    "cell_type": "code",
    "source": [
-    "parameters(mach) = make1d.(Flux.params(fitted_params(mach)));"
+    "parameters(mach) = vec.(Flux.params(fitted_params(mach)));"
    ],
    "metadata": {},
    "execution_count": null
@@ -490,16 +510,17 @@
     "save_control =\n",
     "    MLJIteration.skip(Save(joinpath(DIR, \"mnist.jls\")), predicate=3)\n",
     "\n",
-    "controls=[Step(2),\n",
-    "          Patience(3),\n",
-    "          InvalidValue(),\n",
-    "          TimeLimit(5/60),\n",
-    "          save_control,\n",
-    "          WithLossDo(),\n",
-    "          WithLossDo(update_loss),\n",
-    "          WithTrainingLossesDo(update_training_loss),\n",
-    "          Callback(update_means),\n",
-    "          WithIterationsDo(update_epochs)\n",
+    "controls=[\n",
+    "    Step(2),\n",
+    "    Patience(3),\n",
+    "    InvalidValue(),\n",
+    "    TimeLimit(5/60),\n",
+    "    save_control,\n",
+    "    WithLossDo(),\n",
+    "    WithLossDo(update_loss),\n",
+    "    WithTrainingLossesDo(update_training_loss),\n",
+    "    Callback(update_means),\n",
+    "    WithIterationsDo(update_epochs),\n",
     "];"
    ],
    "metadata": {},
@@ -516,10 +537,12 @@
    "outputs": [],
    "cell_type": "code",
    "source": [
-    "iterated_clf = IteratedModel(model=clf,\n",
-    "                       controls=controls,\n",
-    "                       resampling=Holdout(fraction_train=0.7),\n",
-    "                       measure=log_loss)"
+    "iterated_clf = IteratedModel(\n",
+    "    clf,\n",
+    "    controls=controls,\n",
+    "    resampling=Holdout(fraction_train=0.7),\n",
+    "    measure=log_loss,\n",
+    ")"
    ],
    "metadata": {},
    "execution_count": null
@@ -551,7 +574,7 @@
    "outputs": [],
    "cell_type": "code",
    "source": [
-    "fit!(mach, rows=1:500);"
+    "fit!(mach, rows=train);"
    ],
    "metadata": {},
    "execution_count": null
@@ -567,10 +590,13 @@
    "outputs": [],
    "cell_type": "code",
    "source": [
-    "plot(epochs, losses,\n",
-    "     xlab = \"epoch\",\n",
-    "     ylab = \"cross entropy\",\n",
-    "     label=\"out-of-sample\")\n",
+    "plot(\n",
+    "    epochs,\n",
+    "    losses,\n",
+    "    xlab = \"epoch\",\n",
+    "    ylab = \"cross entropy\",\n",
+    "    label=\"out-of-sample\",\n",
+    ")\n",
     "plot!(epochs, training_losses, label=\"training\")\n",
     "\n",
     "savefig(joinpath(DIR, \"loss.png\"))"
@@ -592,9 +618,12 @@
     "n_epochs =  length(losses)\n",
     "n_parameters = div(length(parameter_means), n_epochs)\n",
     "parameter_means2 = reshape(copy(parameter_means), n_parameters, n_epochs)'\n",
-    "plot(epochs, parameter_means2,\n",
-    "     title=\"Flux parameter mean weights\",\n",
-    "     xlab = \"epoch\")"
+    "plot(\n",
+    "    epochs,\n",
+    "    parameter_means2,\n",
+    "    title=\"Flux parameter mean weights\",\n",
+    "    xlab = \"epoch\",\n",
+    ")"
    ],
    "metadata": {},
    "execution_count": null
@@ -602,7 +631,7 @@
   {
    "cell_type": "markdown",
    "source": [
-    "**Note.** The the higher the number, the deeper the chain parameter."
+    "**Note.** The higher the number, the deeper the layer we are weight-averaging."
    ],
    "metadata": {}
   },
@@ -626,7 +655,7 @@
    "outputs": [],
    "cell_type": "code",
    "source": [
-    "mach2 = machine(joinpath(DIR, \"mnist3.jlso\"))\n",
+    "mach2 = machine(joinpath(DIR, \"mnist3.jls\"))\n",
     "predict_mode(mach2, images[501:503])"
    ],
    "metadata": {},
@@ -652,12 +681,15 @@
    "cell_type": "code",
    "source": [
     "iterated_clf.controls[2] = Patience(4)\n",
-    "fit!(mach, rows=1:500)\n",
+    "fit!(mach, rows=train)\n",
     "\n",
-    "plot(epochs, losses,\n",
-    "     xlab = \"epoch\",\n",
-    "     ylab = \"cross entropy\",\n",
-    "     label=\"out-of-sample\")\n",
+    "plot(\n",
+    "    epochs,\n",
+    "    losses,\n",
+    "    xlab = \"epoch\",\n",
+    "    ylab = \"cross entropy\",\n",
+    "    label=\"out-of-sample\",\n",
+    ")\n",
     "plot!(epochs, training_losses, label=\"training\")"
    ],
    "metadata": {},
@@ -679,11 +711,11 @@
    "file_extension": ".jl",
    "mimetype": "application/julia",
    "name": "julia",
-   "version": "1.7.3"
+   "version": "1.10.3"
   },
   "kernelspec": {
-   "name": "julia-1.7",
-   "display_name": "Julia 1.7.3",
+   "name": "julia-1.10",
+   "display_name": "Julia 1.10.3",
    "language": "julia"
   }
  },
diff --git a/examples/mnist/weights.png b/examples/mnist/weights.png
index 7db2a7ec..df1fb43d 100644
Binary files a/examples/mnist/weights.png and b/examples/mnist/weights.png differ