happy-learning

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0.5.0 happy_learning-0.5.0-py3-none-any.whl

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Project: happy-learning
Version: 0.5.0
Filename: happy_learning-0.5.0-py3-none-any.whl
Download: [link]
Size: 221716
MD5: 4d044170aed7b25b0267c841c051b8d6
SHA256: c9d71f440453dac25037b08c8e9a4b4f0cbb5205e96782decbd4331ce7cef0c1
Uploaded: 2023-05-06 12:10:39 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: happy-learning
Version: 0.5.0
Summary: Toolbox for reinforced developing of machine learning models (as proof-of-concept)
Author: Gianni Francesco Balistreri
Author-Email: gbalistreri[at]gmx.de
Home-Page: https://github.com/GianniBalistreri/happy_learning
License: GNU
Keywords: feature-engineering feature-selection evolutionary-algorithm machine-learning automl reinforcement-learning deep-learning shapley clustering pytorch
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Requires-Dist: catboost (==0.24.2)
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Requires-Dist: dask-ml (==1.7.0)
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Requires-Dist: fast-gsdmm (==0.0.1)
Requires-Dist: gensim (==3.8.3)
Requires-Dist: geocoder (==1.38.1)
Requires-Dist: googletrans (==3.0.0)
Requires-Dist: nltk (==3.5)
Requires-Dist: mlflow (==1.24.0)
Requires-Dist: protobuf (==3.20.3)
Requires-Dist: pygam (==0.8.0)
Requires-Dist: requests (==2.24.0)
Requires-Dist: sentence-transformers (==0.4.1)
Requires-Dist: spacy (==2.3.2)
Requires-Dist: sqlalchemy (==1.3.19)
Requires-Dist: statsmodels (==0.12.0)
Requires-Dist: torch (==1.7.0)
Requires-Dist: torchtext (==0.8.0)
Requires-Dist: xgboost (==1.7.5)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 8494 characters]

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top_level.txt

happy_learning