Add sklearn to the dependencies
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a47067fc72
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GPG key ID:
344EA5AB10D868E0
2 changed files with 151 additions and 1 deletions
151
poetry.lock
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151
poetry.lock
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@ -232,6 +232,14 @@ MarkupSafe = ">=2.0"
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[package.extras]
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i18n = ["Babel (>=2.7)"]
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[[package]]
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name = "joblib"
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version = "1.0.1"
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description = "Lightweight pipelining with Python functions"
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category = "main"
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optional = false
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python-versions = ">=3.6"
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[[package]]
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name = "json5"
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version = "0.9.5"
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@ -519,6 +527,14 @@ docs = ["sphinx", "nbsphinx", "sphinxcontrib-github-alt", "sphinx-rtd-theme", "m
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json-logging = ["json-logging"]
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test = ["pytest", "coverage", "requests", "nbval", "selenium", "pytest-cov", "requests-unixsocket"]
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[[package]]
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name = "numpy"
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version = "1.20.3"
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description = "NumPy is the fundamental package for array computing with Python."
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category = "main"
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optional = false
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python-versions = ">=3.7"
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[[package]]
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name = "packaging"
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version = "20.9"
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@ -698,6 +714,37 @@ python-versions = "*"
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security = ["cryptography (>=1.3.4)", "idna (>=2.0.0)", "pyOpenSSL (>=0.14)"]
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socks = ["PySocks (>=1.5.6,!=1.5.7)", "win-inet-pton"]
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[[package]]
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name = "scikit-learn"
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version = "0.24.2"
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description = "A set of python modules for machine learning and data mining"
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category = "main"
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optional = false
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python-versions = ">=3.6"
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[package.dependencies]
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joblib = ">=0.11"
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numpy = ">=1.13.3"
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scipy = ">=0.19.1"
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threadpoolctl = ">=2.0.0"
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[package.extras]
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benchmark = ["matplotlib (>=2.1.1)", "pandas (>=0.25.0)", "memory-profiler (>=0.57.0)"]
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docs = ["matplotlib (>=2.1.1)", "scikit-image (>=0.13)", "pandas (>=0.25.0)", "seaborn (>=0.9.0)", "memory-profiler (>=0.57.0)", "sphinx (>=3.2.0)", "sphinx-gallery (>=0.7.0)", "numpydoc (>=1.0.0)", "Pillow (>=7.1.2)", "sphinx-prompt (>=1.3.0)"]
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examples = ["matplotlib (>=2.1.1)", "scikit-image (>=0.13)", "pandas (>=0.25.0)", "seaborn (>=0.9.0)"]
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tests = ["matplotlib (>=2.1.1)", "scikit-image (>=0.13)", "pandas (>=0.25.0)", "pytest (>=5.0.1)", "pytest-cov (>=2.9.0)", "flake8 (>=3.8.2)", "mypy (>=0.770)", "pyamg (>=4.0.0)"]
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[[package]]
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name = "scipy"
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version = "1.6.1"
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description = "SciPy: Scientific Library for Python"
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category = "main"
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optional = false
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python-versions = ">=3.7"
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[package.dependencies]
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numpy = ">=1.16.5"
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[[package]]
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name = "send2trash"
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version = "1.5.0"
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@ -749,6 +796,14 @@ python-versions = ">= 3.5"
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[package.extras]
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test = ["pytest", "pathlib2"]
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[[package]]
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name = "threadpoolctl"
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version = "2.1.0"
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description = "threadpoolctl"
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category = "main"
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optional = false
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python-versions = ">=3.5"
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[[package]]
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name = "tornado"
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version = "6.1"
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@ -798,7 +853,7 @@ python-versions = ">=3.6"
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[metadata]
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lock-version = "1.1"
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python-versions = "^3.8"
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content-hash = "b2ac33f9fae63984f23665bfea3283271e0a87187f711d5ded90a5f064803660"
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content-hash = "39dee10111398a10dfd97f7a6a0df15c873f9b44f1577dfe14c68387a71b95f8"
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[metadata.files]
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anyio = [
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@ -828,6 +883,10 @@ argon2-cffi = [
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{file = "argon2_cffi-20.1.0-pp36-pypy36_pp73-win32.whl", hash = "sha256:8282b84ceb46b5b75c3a882b28856b8cd7e647ac71995e71b6705ec06fc232c3"},
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async-generator = [
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{file = "async_generator-1.10-py3-none-any.whl", hash = "sha256:01c7bf666359b4967d2cda0000cc2e4af16a0ae098cbffcb8472fb9e8ad6585b"},
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@ -940,6 +999,10 @@ jinja2 = [
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{file = "Jinja2-3.0.1-py3-none-any.whl", hash = "sha256:1f06f2da51e7b56b8f238affdd6b4e2c61e39598a378cc49345bc1bd42a978a4"},
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{file = "Jinja2-3.0.1.tar.gz", hash = "sha256:703f484b47a6af502e743c9122595cc812b0271f661722403114f71a79d0f5a4"},
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]
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joblib = [
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{file = "joblib-1.0.1-py3-none-any.whl", hash = "sha256:feeb1ec69c4d45129954f1b7034954241eedfd6ba39b5e9e4b6883be3332d5e5"},
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{file = "joblib-1.0.1.tar.gz", hash = "sha256:9c17567692206d2f3fb9ecf5e991084254fe631665c450b443761c4186a613f7"},
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]
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json5 = [
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{file = "json5-0.9.5.tar.gz", hash = "sha256:703cfee540790576b56a92e1c6aaa6c4b0d98971dc358ead83812aa4d06bdb96"},
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@ -1040,6 +1103,32 @@ notebook = [
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{file = "notebook-6.4.0-py3-none-any.whl", hash = "sha256:f7f0a71a999c7967d9418272ae4c3378a220bd28330fbfb49860e46cf8a5838a"},
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{file = "notebook-6.4.0.tar.gz", hash = "sha256:9c4625e2a2aa49d6eae4ce20cbc3d8976db19267e32d2a304880e0c10bf8aef9"},
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numpy = [
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packaging = [
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@ -1155,6 +1244,62 @@ requests = [
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{file = "scikit_learn-0.24.2-cp38-cp38-win32.whl", hash = "sha256:ae426e3a52842c6b6d77d00f906b6031c8c2cfdfabd6af7511bb4bc9a68d720e"},
|
||||
{file = "scikit_learn-0.24.2-cp38-cp38-win_amd64.whl", hash = "sha256:038f4e9d6ef10e1f3fe82addc3a14735c299866eb10f2c77c090410904828312"},
|
||||
{file = "scikit_learn-0.24.2-cp39-cp39-macosx_10_13_x86_64.whl", hash = "sha256:48f273836e19901ba2beecd919f7b352f09310ce67c762f6e53bc6b81cacf1f0"},
|
||||
{file = "scikit_learn-0.24.2-cp39-cp39-manylinux1_i686.whl", hash = "sha256:a2a47449093dcf70babc930beba2ca0423cb7df2fa5fd76be5260703d67fa574"},
|
||||
{file = "scikit_learn-0.24.2-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:0e71ce9c7cbc20f6f8b860107ce15114da26e8675238b4b82b7e7cd37ca0c087"},
|
||||
{file = "scikit_learn-0.24.2-cp39-cp39-manylinux2010_i686.whl", hash = "sha256:2754c85b2287333f9719db7f23fb7e357f436deed512db3417a02bf6f2830aa5"},
|
||||
{file = "scikit_learn-0.24.2-cp39-cp39-manylinux2010_x86_64.whl", hash = "sha256:7be1b88c23cfac46e06404582215a917017cd2edaa2e4d40abe6aaff5458f24b"},
|
||||
{file = "scikit_learn-0.24.2-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:4e6198675a6f9d333774671bd536668680eea78e2e81c0b19e57224f58d17f37"},
|
||||
{file = "scikit_learn-0.24.2-cp39-cp39-win32.whl", hash = "sha256:cbdb0b3db99dd1d5f69d31b4234367d55475add31df4d84a3bd690ef017b55e2"},
|
||||
{file = "scikit_learn-0.24.2-cp39-cp39-win_amd64.whl", hash = "sha256:40556bea1ef26ef54bc678d00cf138a63069144a0b5f3a436eecd8f3468b903e"},
|
||||
]
|
||||
scipy = [
|
||||
{file = "scipy-1.6.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:a15a1f3fc0abff33e792d6049161b7795909b40b97c6cc2934ed54384017ab76"},
|
||||
{file = "scipy-1.6.1-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:e79570979ccdc3d165456dd62041d9556fb9733b86b4b6d818af7a0afc15f092"},
|
||||
{file = "scipy-1.6.1-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:a423533c55fec61456dedee7b6ee7dce0bb6bfa395424ea374d25afa262be261"},
|
||||
{file = "scipy-1.6.1-cp37-cp37m-manylinux2014_aarch64.whl", hash = "sha256:33d6b7df40d197bdd3049d64e8e680227151673465e5d85723b3b8f6b15a6ced"},
|
||||
{file = "scipy-1.6.1-cp37-cp37m-win32.whl", hash = "sha256:6725e3fbb47da428794f243864f2297462e9ee448297c93ed1dcbc44335feb78"},
|
||||
{file = "scipy-1.6.1-cp37-cp37m-win_amd64.whl", hash = "sha256:5fa9c6530b1661f1370bcd332a1e62ca7881785cc0f80c0d559b636567fab63c"},
|
||||
{file = "scipy-1.6.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:bd50daf727f7c195e26f27467c85ce653d41df4358a25b32434a50d8870fc519"},
|
||||
{file = "scipy-1.6.1-cp38-cp38-manylinux1_i686.whl", hash = "sha256:f46dd15335e8a320b0fb4685f58b7471702234cba8bb3442b69a3e1dc329c345"},
|
||||
{file = "scipy-1.6.1-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:0e5b0ccf63155d90da576edd2768b66fb276446c371b73841e3503be1d63fb5d"},
|
||||
{file = "scipy-1.6.1-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:2481efbb3740977e3c831edfd0bd9867be26387cacf24eb5e366a6a374d3d00d"},
|
||||
{file = "scipy-1.6.1-cp38-cp38-win32.whl", hash = "sha256:68cb4c424112cd4be886b4d979c5497fba190714085f46b8ae67a5e4416c32b4"},
|
||||
{file = "scipy-1.6.1-cp38-cp38-win_amd64.whl", hash = "sha256:5f331eeed0297232d2e6eea51b54e8278ed8bb10b099f69c44e2558c090d06bf"},
|
||||
{file = "scipy-1.6.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:0c8a51d33556bf70367452d4d601d1742c0e806cd0194785914daf19775f0e67"},
|
||||
{file = "scipy-1.6.1-cp39-cp39-manylinux1_i686.whl", hash = "sha256:83bf7c16245c15bc58ee76c5418e46ea1811edcc2e2b03041b804e46084ab627"},
|
||||
{file = "scipy-1.6.1-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:794e768cc5f779736593046c9714e0f3a5940bc6dcc1dba885ad64cbfb28e9f0"},
|
||||
{file = "scipy-1.6.1-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:5da5471aed911fe7e52b86bf9ea32fb55ae93e2f0fac66c32e58897cfb02fa07"},
|
||||
{file = "scipy-1.6.1-cp39-cp39-win32.whl", hash = "sha256:8e403a337749ed40af60e537cc4d4c03febddcc56cd26e774c9b1b600a70d3e4"},
|
||||
{file = "scipy-1.6.1-cp39-cp39-win_amd64.whl", hash = "sha256:a5193a098ae9f29af283dcf0041f762601faf2e595c0db1da929875b7570353f"},
|
||||
{file = "scipy-1.6.1.tar.gz", hash = "sha256:c4fceb864890b6168e79b0e714c585dbe2fd4222768ee90bc1aa0f8218691b11"},
|
||||
]
|
||||
send2trash = [
|
||||
{file = "Send2Trash-1.5.0-py3-none-any.whl", hash = "sha256:f1691922577b6fa12821234aeb57599d887c4900b9ca537948d2dac34aea888b"},
|
||||
{file = "Send2Trash-1.5.0.tar.gz", hash = "sha256:60001cc07d707fe247c94f74ca6ac0d3255aabcb930529690897ca2a39db28b2"},
|
||||
|
|
@ -1175,6 +1320,10 @@ testpath = [
|
|||
{file = "testpath-0.5.0-py3-none-any.whl", hash = "sha256:8044f9a0bab6567fc644a3593164e872543bb44225b0e24846e2c89237937589"},
|
||||
{file = "testpath-0.5.0.tar.gz", hash = "sha256:1acf7a0bcd3004ae8357409fc33751e16d37ccc650921da1094a86581ad1e417"},
|
||||
]
|
||||
threadpoolctl = [
|
||||
{file = "threadpoolctl-2.1.0-py3-none-any.whl", hash = "sha256:38b74ca20ff3bb42caca8b00055111d74159ee95c4370882bbff2b93d24da725"},
|
||||
{file = "threadpoolctl-2.1.0.tar.gz", hash = "sha256:ddc57c96a38beb63db45d6c159b5ab07b6bced12c45a1f07b2b92f272aebfa6b"},
|
||||
]
|
||||
tornado = [
|
||||
{file = "tornado-6.1-cp35-cp35m-macosx_10_9_x86_64.whl", hash = "sha256:d371e811d6b156d82aa5f9a4e08b58debf97c302a35714f6f45e35139c332e32"},
|
||||
{file = "tornado-6.1-cp35-cp35m-manylinux1_i686.whl", hash = "sha256:0d321a39c36e5f2c4ff12b4ed58d41390460f798422c4504e09eb5678e09998c"},
|
||||
|
|
|
|||
|
|
@ -28,5 +28,6 @@ repository = "https://github.com/webartifex/intro-to-data-science"
|
|||
[tool.poetry.dependencies]
|
||||
python = "^3.8"
|
||||
jupyterlab = "^3.0.16"
|
||||
scikit-learn = "^0.24.2"
|
||||
|
||||
[tool.poetry.dev-dependencies]
|
||||
|
|
|
|||
Loading…
Reference in a new issue