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2.0.2 brainless-2.0.2-py2.py3-none-any.whl

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Project: brainless
Version: 2.0.2
Filename: brainless-2.0.2-py2.py3-none-any.whl
Download: [link]
Size: 70515
MD5: 601f7b6cfb085b3e1e32a061fde6431f
SHA256: 0e672cf3255cd3b21365cdaf0a765854d11a836ce9ccfb510aec44863aa66f16
Uploaded: 2019-11-19 22:24:09 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: brainless
Version: 2.0.2
Summary: Automated Machine Learning for production and analytics
Author: Darvis.ai Team
Author-Email: loaiabdalslam[at]gmail.com
Home-Page: https://github.com/darvis-ai/Brainless
License: MIT
Keywords: machine learning,data science,automated machine learning,regressor,regressors,regression,classification,classifiers,classifier,estimators,predictors,XGBoost,Random Forest,sklearn,scikit-learn,analytics,analysts,coefficients,feature importances,darvis-ai,darvis-research,analytics,artificial intelligence,subpredictors,ensembling,stacking,blending,feature engineering,feature extraction,feature selection,production,pandas,dataframes,machinejs,deep learning,tensorflow,deeplearning,lightgbm,gradient boosting,gbm,keras,production ready,test coverage
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Requires-Dist: coveralls (>=1.5.0)
Requires-Dist: dill (>=0.2.5)
Requires-Dist: h5py (>=2.7.0)
Requires-Dist: lightgbm (>=2.0.11)
Requires-Dist: nose (>=1.3.0)
Requires-Dist: numpy (>=1.11.0)
Requires-Dist: pandas (>=0.18.0)
Requires-Dist: pathos (>=0.2.1)
Requires-Dist: scikit-learn (>=0.18.1)
Requires-Dist: scipy (>=0.14.0)
Requires-Dist: six (>=1.11.0)
Requires-Dist: sklearn-deap2 (>=0.2.1)
Requires-Dist: tabulate (>=0.7.5)
Requires-Dist: tables (>=3.4.0)
Description-Content-Type: text/markdown
[Description omitted; length: 9060 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.33.6)
Root-Is-Purelib: true
Tag: py2-none-any
Tag: py3-none-any

RECORD

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brainless/__init__.py sha256=z-_KyLXWdFxZF_1WLjAYkg0DYzCJtEK9HAnrRqwHkNI 241
brainless/_version.py sha256=tATvJM5shAzfspHYjdVwpV2w3-gDA119NlEYi5X2lFY 22
brainless/predictor.py sha256=wrwqF6ZoMiHPnTXk6ZTRyCCpdxZ795qaVBG1KGFbY6M 2601
brainless/predictor_base.py sha256=mTdLffwym_6JTApGDhbktYYOyX03NGruHJkNpjqCADw 118431
brainless/utils.py sha256=xpGSUHiHfEnEc7HNBA2m29G0Ly8osdP1ynLpbks53Gg 10297
brainless/utils_categorical_ensembling.py sha256=OEXEaZCjl2TXW0iTHBWfZudWRU69OtKZeh7WONGiQls 3304
brainless/utils_data_cleaning.py sha256=hZZs1AhkWqBJGmuGpe-lj7BmPbrcqvAQ0vau-jFx98M 20656
brainless/utils_ensembling.py sha256=_t8JV1g-EcZuxCLHT3A36uY4o7wLuJiwNNqbmGrHgVc 7090
brainless/utils_feature_selection.py sha256=shLj1bXueRs1WwxBRNzaVrOrBSJirRumaPOtpnGAqbc 4360
brainless/utils_model_training.py sha256=Vx2O9rThTJOB-ywUnEkB3IoKxui89Eu6QG-9s4H_mPA 34987
brainless/utils_models.py sha256=rXq7zNR8q-RA8KqWAKFC6ZruoTMOJ10ZtCQRG0FvnlM 30650
brainless/utils_scaling.py sha256=eXsEKelkDloVmYoAJOfJC0-tmVl3O5ogHIkf4biIr8c 5736
brainless/utils_scoring.py sha256=nZU06LqYj0QPFo7JL_-XEk_J3ywRAFv1tmhpRnUzBzw 16789
brainless-2.0.2.dist-info/LICENSE sha256=zk4aJhqm6GAIT-iARXPXG-P9lMa9iSxL2PuOW4dEqlo 1070
brainless-2.0.2.dist-info/METADATA sha256=fGVfhrSsXmABJlC2zhya8U3bj7pjXLnD3h3V6HaooxA 11108
brainless-2.0.2.dist-info/WHEEL sha256=8zNYZbwQSXoB9IfXOjPfeNwvAsALAjffgk27FqvCWbo 110
brainless-2.0.2.dist-info/top_level.txt sha256=qIbm7DH5SwSQcjXJ1uhSYNwYGLmuY3eKg2pmKPQhteY 10
brainless-2.0.2.dist-info/RECORD — —

top_level.txt

brainless