From b83412698bdc1b53755d4dfd9a76866fb285cd99 Mon Sep 17 00:00:00 2001
From: Ryan <rashley@iqt.org>
Date: Thu, 8 Dec 2022 11:27:01 -0500
Subject: [PATCH 1/2] retrain with new versions of numpy and pandas

---
 networkml/trained_models/host_footprint.json | 36864 ++++++++---------
 poetry.lock                                  |    12 +-
 pyproject.toml                               |     4 +-
 3 files changed, 18440 insertions(+), 18440 deletions(-)

diff --git a/networkml/trained_models/host_footprint.json b/networkml/trained_models/host_footprint.json
index 34d7b1e4..53e5a57e 100644
--- a/networkml/trained_models/host_footprint.json
+++ b/networkml/trained_models/host_footprint.json
@@ -3,18463 +3,18463 @@
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+  "n_iter_": 67,
   "n_layers_": 5,
   "n_outputs_": 12,
   "out_activation_": "softmax",
diff --git a/poetry.lock b/poetry.lock
index 260880c6..7a1c3e09 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -88,7 +88,7 @@ python-versions = ">=3.5"
 dev = ["cloudpickle", "coverage[toml] (>=5.0.2)", "furo", "hypothesis", "mypy (>=0.900,!=0.940)", "pre-commit", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "sphinx", "sphinx-notfound-page", "zope.interface"]
 docs = ["furo", "sphinx", "sphinx-notfound-page", "zope.interface"]
 tests = ["cloudpickle", "coverage[toml] (>=5.0.2)", "hypothesis", "mypy (>=0.900,!=0.940)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "zope.interface"]
-tests-no-zope = ["cloudpickle", "coverage[toml] (>=5.0.2)", "hypothesis", "mypy (>=0.900,!=0.940)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins"]
+tests_no_zope = ["cloudpickle", "coverage[toml] (>=5.0.2)", "hypothesis", "mypy (>=0.900,!=0.940)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins"]
 
 [[package]]
 name = "backcall"
@@ -370,7 +370,7 @@ notebook = ["ipywidgets", "notebook"]
 parallel = ["ipyparallel"]
 qtconsole = ["qtconsole"]
 test = ["pytest (<7.1)", "pytest-asyncio", "testpath"]
-test-extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.19)", "pandas", "pytest (<7.1)", "pytest-asyncio", "testpath", "trio"]
+test_extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.19)", "pandas", "pytest (<7.1)", "pytest-asyncio", "testpath", "trio"]
 
 [[package]]
 name = "ipython_genutils"
@@ -461,7 +461,7 @@ name = "jupyter-core"
 version = "4.11.2"
 description = "Jupyter core package. A base package on which Jupyter projects rely."
 category = "main"
-optional = false
+optional = true
 python-versions = ">=3.7"
 
 [package.dependencies]
@@ -817,8 +817,8 @@ python-versions = ">=3.8"
 
 [package.dependencies]
 numpy = [
-    {version = ">=1.20.3", markers = "python_version < \"3.10\""},
     {version = ">=1.21.0", markers = "python_version >= \"3.10\""},
+    {version = ">=1.20.3", markers = "python_version < \"3.10\""},
 ]
 python-dateutil = ">=2.8.1"
 pytz = ">=2020.1"
@@ -1131,7 +1131,7 @@ name = "pywin32"
 version = "304"
 description = "Python for Window Extensions"
 category = "main"
-optional = false
+optional = true
 python-versions = "*"
 
 [[package]]
@@ -1354,7 +1354,7 @@ name = "traitlets"
 version = "5.3.0"
 description = ""
 category = "main"
-optional = false
+optional = true
 python-versions = ">=3.7"
 
 [package.extras]
diff --git a/pyproject.toml b/pyproject.toml
index 68f04420..f1b5459e 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -15,8 +15,8 @@ cython = "0.29.32"
 humanize = "4.4.0"
 joblib = "1.2.0"
 netaddr = "0.8.0"
-numpy = "1.23.4"
-pandas = "1.5.1"
+numpy = "1.23.5"
+pandas = "1.5.2"
 pyshark = "0.5.3"
 scikit-learn = "1.1.3"
 scipy = "1.9.3"

From 10703850cc5b321ce0d60f1f3fc806dc95861439 Mon Sep 17 00:00:00 2001
From: Ryan <rashley@iqt.org>
Date: Thu, 8 Dec 2022 13:04:42 -0500
Subject: [PATCH 2/2] retrain with new versions of scikit-learn

---
 networkml/trained_models/host_footprint.json  | 37241 ++++++++--------
 .../trained_models/host_footprint_scaler.mod  |   Bin 13583 -> 13583 bytes
 poetry.lock                                   |   172 +-
 pyproject.toml                                |     2 +-
 4 files changed, 18894 insertions(+), 18521 deletions(-)

diff --git a/networkml/trained_models/host_footprint.json b/networkml/trained_models/host_footprint.json
index 53e5a57e..662fc38b 100644
--- a/networkml/trained_models/host_footprint.json
+++ b/networkml/trained_models/host_footprint.json
@@ -3,18464 +3,18836 @@
   "coefs_": [
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-  "n_iter_": 67,
-  "n_layers_": 5,
+  "n_iter_": 88,
+  "n_layers_": 6,
   "n_outputs_": 12,
   "out_activation_": "softmax",
   "_label_binarizer": {
@@ -18495,7 +18867,8 @@
     "hidden_layer_sizes": [
       64,
       32,
-      32
+      32,
+      16
     ],
     "learning_rate": "constant",
     "learning_rate_init": 0.001,
diff --git a/networkml/trained_models/host_footprint_scaler.mod b/networkml/trained_models/host_footprint_scaler.mod
index e8f4d82d18686e835a15700c501b1559775c787c..94cb9bc296026565a8d52087df98bb5dfaae5880 100644
GIT binary patch
delta 15
WcmeCr>d)H1Vajf#XE3ESNe=)lZv_wl

delta 15
WcmeCr>d)H1Vajf(XFR1eNe=)lcLfpv

diff --git a/poetry.lock b/poetry.lock
index 7a1c3e09..7f757082 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -779,7 +779,7 @@ test = ["pytest", "pytest-console-scripts", "pytest-tornasync"]
 
 [[package]]
 name = "numpy"
-version = "1.23.4"
+version = "1.23.5"
 description = "NumPy is the fundamental package for array computing with Python."
 category = "main"
 optional = false
@@ -809,7 +809,7 @@ codegen = ["lxml"]
 
 [[package]]
 name = "pandas"
-version = "1.5.1"
+version = "1.5.2"
 description = "Powerful data structures for data analysis, time series, and statistics"
 category = "main"
 optional = false
@@ -817,8 +817,8 @@ python-versions = ">=3.8"
 
 [package.dependencies]
 numpy = [
-    {version = ">=1.21.0", markers = "python_version >= \"3.10\""},
     {version = ">=1.20.3", markers = "python_version < \"3.10\""},
+    {version = ">=1.21.0", markers = "python_version >= \"3.10\""},
 ]
 python-dateutil = ">=2.8.1"
 pytz = ">=2020.1"
@@ -1175,23 +1175,23 @@ pamqp = ">=2,<3"
 
 [[package]]
 name = "scikit-learn"
-version = "1.1.3"
+version = "1.2.0"
 description = "A set of python modules for machine learning and data mining"
 category = "main"
 optional = false
 python-versions = ">=3.8"
 
 [package.dependencies]
-joblib = ">=1.0.0"
+joblib = ">=1.1.1"
 numpy = ">=1.17.3"
 scipy = ">=1.3.2"
 threadpoolctl = ">=2.0.0"
 
 [package.extras]
-benchmark = ["matplotlib (>=3.1.2)", "memory-profiler (>=0.57.0)", "pandas (>=1.0.5)"]
-docs = ["Pillow (>=7.1.2)", "matplotlib (>=3.1.2)", "memory-profiler (>=0.57.0)", "numpydoc (>=1.2.0)", "pandas (>=1.0.5)", "scikit-image (>=0.16.2)", "seaborn (>=0.9.0)", "sphinx (>=4.0.1)", "sphinx-gallery (>=0.7.0)", "sphinx-prompt (>=1.3.0)", "sphinxext-opengraph (>=0.4.2)"]
-examples = ["matplotlib (>=3.1.2)", "pandas (>=1.0.5)", "scikit-image (>=0.16.2)", "seaborn (>=0.9.0)"]
-tests = ["black (>=22.3.0)", "flake8 (>=3.8.2)", "matplotlib (>=3.1.2)", "mypy (>=0.961)", "numpydoc (>=1.2.0)", "pandas (>=1.0.5)", "pyamg (>=4.0.0)", "pytest (>=5.0.1)", "pytest-cov (>=2.9.0)", "scikit-image (>=0.16.2)"]
+benchmark = ["matplotlib (>=3.1.3)", "memory-profiler (>=0.57.0)", "pandas (>=1.0.5)"]
+docs = ["Pillow (>=7.1.2)", "matplotlib (>=3.1.3)", "memory-profiler (>=0.57.0)", "numpydoc (>=1.2.0)", "pandas (>=1.0.5)", "plotly (>=5.10.0)", "pooch (>=1.6.0)", "scikit-image (>=0.16.2)", "seaborn (>=0.9.0)", "sphinx (>=4.0.1)", "sphinx-gallery (>=0.7.0)", "sphinx-prompt (>=1.3.0)", "sphinxext-opengraph (>=0.4.2)"]
+examples = ["matplotlib (>=3.1.3)", "pandas (>=1.0.5)", "plotly (>=5.10.0)", "pooch (>=1.6.0)", "scikit-image (>=0.16.2)", "seaborn (>=0.9.0)"]
+tests = ["black (>=22.3.0)", "flake8 (>=3.8.2)", "matplotlib (>=3.1.3)", "mypy (>=0.961)", "numpydoc (>=1.2.0)", "pandas (>=1.0.5)", "pooch (>=1.6.0)", "pyamg (>=4.0.0)", "pytest (>=5.3.1)", "pytest-cov (>=2.9.0)", "scikit-image (>=0.16.2)"]
 
 [[package]]
 name = "scipy"
@@ -1427,7 +1427,7 @@ test = ["pygments", "pytest", "pytest-cov", "pytest-xdist", "pytest-rabbitmq", "
 [metadata]
 lock-version = "1.1"
 python-versions = ">=3.8 <3.11"
-content-hash = "bd381ac1529bca59a59ecc4b837aecfb75debfa0883729add41d5440428a3de7"
+content-hash = "6d6d40c1e15991e596f373aff943e95aaa80d492ac5028ba9e064de0969fb65b"
 
 [metadata.files]
 anyio = [
@@ -1978,34 +1978,34 @@ notebook-shim = [
     {file = "notebook_shim-0.1.0.tar.gz", hash = "sha256:7897e47a36d92248925a2143e3596f19c60597708f7bef50d81fcd31d7263e85"},
 ]
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 scipy = [
     {file = "scipy-1.9.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1884b66a54887e21addf9c16fb588720a8309a57b2e258ae1c7986d4444d3bc0"},
diff --git a/pyproject.toml b/pyproject.toml
index f1b5459e..0eeffc02 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -18,7 +18,7 @@ netaddr = "0.8.0"
 numpy = "1.23.5"
 pandas = "1.5.2"
 pyshark = "0.5.3"
-scikit-learn = "1.1.3"
+scikit-learn = "1.2.0"
 scipy = "1.9.3"
 
 #optional dependencies