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setup.py
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import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="biobb_ml",
version="4.2.0",
author="Biobb developers",
author_email="[email protected]",
description="Biobb_ml is the Biobb module collection to perform machine learning predictions.",
long_description=long_description,
long_description_content_type="text/markdown",
keywords="Bioinformatics Workflows BioExcel Compatibility",
url="https://github.com/bioexcel/biobb_ml",
project_urls={
"Documentation": "http://biobb-ml.readthedocs.io/en/latest/",
"Bioexcel": "https://bioexcel.eu/"
},
packages=setuptools.find_packages(exclude=['docs', 'test']),
package_data={'biobb_ml': ['py.typed']},
install_requires=['biobb_common==4.2.0', 'scikit-learn ==0.24.2', 'pandas >=1.3.0', 'seaborn ==0.10.1', 'tensorflow>=2.4.2', 'h5py ==2.10.0', 'imbalanced-learn ==0.7.0'],
python_requires='>=3.8',
entry_points={
"console_scripts": [
"classification_predict = biobb_ml.classification.classification_predict:main",
"decision_tree = biobb_ml.classification.decision_tree:main",
"k_neighbors_coefficient = biobb_ml.classification.k_neighbors_coefficient:main",
"k_neighbors = biobb_ml.classification.k_neighbors:main",
"logistic_regression = biobb_ml.classification.logistic_regression:main",
"random_forest_classifier = biobb_ml.classification.random_forest_classifier:main",
"support_vector_machine = biobb_ml.classification.support_vector_machine:main",
"agglomerative_clustering = biobb_ml.clustering.agglomerative_clustering:main",
"agglomerative_coefficient = biobb_ml.clustering.agglomerative_coefficient:main",
"clustering_predict = biobb_ml.clustering.clustering_predict:main",
"dbscan = biobb_ml.clustering.dbscan:main",
"k_means_coefficient = biobb_ml.clustering.k_means_coefficient:main",
"k_means = biobb_ml.clustering.k_means:main",
"spectral_clustering = biobb_ml.clustering.spectral_clustering:main",
"spectral_coefficient = biobb_ml.clustering.spectral_coefficient:main",
"pls_components = biobb_ml.dimensionality_reduction.pls_components:main",
"pls_regression = biobb_ml.dimensionality_reduction.pls_regression:main",
"principal_component = biobb_ml.dimensionality_reduction.principal_component:main",
"autoencoder_neural_network = biobb_ml.neural_networks.autoencoder_neural_network:main",
"classification_neural_network = biobb_ml.neural_networks.classification_neural_network:main",
"neural_network_decode = biobb_ml.neural_networks.neural_network_decode:main",
"neural_network_predict = biobb_ml.neural_networks.neural_network_predict:main",
"recurrent_neural_network = biobb_ml.neural_networks.recurrent_neural_network:main",
"regression_neural_network = biobb_ml.neural_networks.regression_neural_network:main",
"linear_regression = biobb_ml.regression.linear_regression:main",
"polynomial_regression = biobb_ml.regression.polynomial_regression:main",
"random_forest_regressor = biobb_ml.regression.random_forest_regressor:main",
"regression_predict = biobb_ml.regression.regression_predict:main",
"oversampling = biobb_ml.resampling.oversampling:main",
"resampling = biobb_ml.resampling.resampling:main",
"undersampling = biobb_ml.resampling.undersampling:main",
"correlation_matrix = biobb_ml.utils.correlation_matrix:main",
"dendrogram = biobb_ml.utils.dendrogram:main",
"drop_columns = biobb_ml.utils.drop_columns:main",
"dummy_variables = biobb_ml.utils.dummy_variables:main",
"map_variables = biobb_ml.utils.map_variables:main",
"pairwise_comparison = biobb_ml.utils.pairwise_comparison:main",
"scale_columns = biobb_ml.utils.scale_columns:main"
]
},
classifiers=(
"Development Status :: 3 - Alpha",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"License :: OSI Approved :: Apache Software License",
"Operating System :: MacOS :: MacOS X",
"Operating System :: POSIX",
),
)