Merge pull request #172 from FluxML/scientific-types-rename

Address ScientificTypes renaming

Project.toml

@@ -1,7 +1,7 @@
 name = "MLJFlux"
 uuid = "094fc8d1-fd35-5302-93ea-dabda2abf845"
 authors = ["Anthony D. Blaom <[email protected]>", "Ayush Shridhar <[email protected]>"]
-version = "0.2.0"
+version = "0.2.1"
 
 [deps]
 CategoricalArrays = "324d7699-5711-5eae-9e2f-1d82baa6b597"
@@ -19,7 +19,7 @@ CategoricalArrays = "0.10"
 ColorTypes = "0.10.3, 0.11"
 ComputationalResources = "0.3.2"
 Flux = "0.10.4, 0.11, 0.12"
-MLJModelInterface = "1.1"
+MLJModelInterface = "1.1.1"
 ProgressMeter = "1.7.1"
 Tables = "1.0"
 julia = "1.6"
@@ -28,12 +28,11 @@ julia = "1.6"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
 MLDatasets = "eb30cadb-4394-5ae3-aed4-317e484a6458"
 MLJBase = "a7f614a8-145f-11e9-1d2a-a57a1082229d"
-MLJScientificTypes = "2e2323e0-db8b-457b-ae0d-bdfb3bc63afd"
 Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 StableRNGs = "860ef19b-820b-49d6-a774-d7a799459cd3"
 Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
 StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 
 [targets]
-test = ["LinearAlgebra", "MLDatasets", "MLJBase", "MLJScientificTypes", "Random", "StableRNGs", "Statistics", "StatsBase", "Test"]
+test = ["LinearAlgebra", "MLDatasets", "MLJBase", "Random", "StableRNGs", "Statistics", "StatsBase", "Test"]

examples/mnist/mnist.jl

@@ -45,7 +45,7 @@ images = coerce(images, GrayImage);
 
 # For general instructions on coercing image data, see [Type coercion
 # for image
-# data](https://alan-turing-institute.github.io/MLJScientificTypes.jl/dev/#Type-coercion-for-image-data-1)
+# data](https://alan-turing-institute.github.io/ScientificTypes.jl/dev/#Type-coercion-for-image-data-1)
 
 images[1]
 

src/MLJFlux.jl

@@ -4,7 +4,7 @@ export CUDALibs, CPU1
 
 import Flux
 using MLJModelInterface
-using MLJModelInterface.ScientificTypes
+using MLJModelInterface.ScientificTypesBase
 import Base.==
 using ProgressMeter
 using CategoricalArrays

test/runtests.jl

@@ -9,7 +9,6 @@ import Random
 import Random.seed!
 using Statistics
 import StatsBase
-using MLJModelInterface.ScientificTypes
 using StableRNGs
 
 using ComputationalResources