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.github/workflows/tests.yml

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@@ -12,7 +12,7 @@ jobs:
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strategy:
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matrix:
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python-version: [3.8]
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os: [ubuntu-latest]
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os: [ubuntu-20.04]
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steps:
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- uses: actions/checkout@v1
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- name: Set up Python ${{ matrix.python-version }}

examples/tutorials/6. Flexible outputs specification.ipynb

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" 'mlprimitives.custom.preprocessing.ClassEncoder#1.y',\n",
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" 'mlprimitives.custom.preprocessing.ClassEncoder#1.classes',\n",
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"]\n",
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"X, y, classes = pipeline.fit(X_train, y_train, output_=output_spec)"
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"y, classes = pipeline.fit(X_train, y_train, output_=output_spec)"
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]
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},
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{
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"source": [
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"output_spec = [\n",
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" 'mlprimitives.custom.feature_extraction.CategoricalEncoder#1.X',\n",
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" 'sklearn.impute.SimpleImputer#1.X',\n",
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" # 'sklearn.impute.SimpleImputer#1.X',\n",
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" 'mlprimitives.custom.preprocessing.ClassEncoder#1.y',\n",
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" 'mlprimitives.custom.preprocessing.ClassEncoder#1.classes',\n",
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"]\n",
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"X_1, X_2, y, classes = pipeline.fit(X_train, y_train, output_=output_spec)"
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"X_1, y, classes = pipeline.fit(X_train, y_train, output_=output_spec)"
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]
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},
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{
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}
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],
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"source": [
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"X_2.shape"
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"X_1.shape"
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]
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}
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],

setup.py

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'watchdog>=0.8.3,<5',
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# docs
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'm2r2>=0.2.5,<0.3',
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'm2r>=0.2.0,<0.3',
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'Sphinx>=1.7.1,<3',
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'sphinx_rtd_theme>=0.2.4,<0.5',
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'docutils>=0.12,<0.18',
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'License :: OSI Approved :: MIT License',
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'Natural Language :: English',
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'Programming Language :: Python :: 3',
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'Programming Language :: Python :: 3.6',
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'Programming Language :: Python :: 3.7',
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'Programming Language :: Python :: 3.8',
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'Programming Language :: Python :: 3.9',
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'Programming Language :: Python :: 3.10',
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long_description_content_type='text/markdown',
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name='mlblocks',
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packages=find_packages(include=['mlblocks', 'mlblocks.*']),
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python_requires='>=3.6,<3.14',
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python_requires='>=3.8,<3.14',
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setup_requires=setup_requires,
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test_suite='tests',
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tests_require=tests_require,

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