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0.0.5 that_ml_library-0.0.5-py3-none-any.whl

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Project: that-ml-library
Version: 0.0.5
Filename: that_ml_library-0.0.5-py3-none-any.whl
Download: [link]
Size: 20144
MD5: 64b3bbab288a24e0f9f322aee7feab02
SHA256: c756c392e34823180bf89eaca3f27a109c91708bd8ac2d0cd7a6330d2898229b
Uploaded: 2024-02-19 03:59:15 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: that-ml-library
Version: 0.0.5
Summary: A useful package for EDA and quick ML model building
Author: Quan Tran
Author-Email: anhquan0412[at]gmail.com
Home-Page: https://github.com/anhquan0412/that-ml-library
License: Apache Software License 2.0
Keywords: jupyter notebook python sklearn statistics statsmodels
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: License :: OSI Approved :: Apache Software License
Requires-Python: >=3.8
Requires-Dist: numpy (>=1.23.0)
Requires-Dist: pandas (>=1.5.0)
Requires-Dist: scikit-learn (>=1.2.0)
Requires-Dist: matplotlib (>=3.7.0)
Requires-Dist: seaborn (>=0.12.0)
Requires-Dist: plotly (>=5.14.0)
Requires-Dist: dtreeviz (>=2.2)
Requires-Dist: statsmodels (>=0.13.0)
Requires-Dist: pingouin (>=0.5.3)
Requires-Dist: yellowbrick (>=1.5)
Provides-Extra: dev
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 1020 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.38.4)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
that_ml_library/__init__.py sha256=S7u1lbuWmM3A3ajykBialmPoJUK6Jg-WmNqM-9OZFdk 22
that_ml_library/_modidx.py sha256=TRACRBia7GQY94Bha_Ug_EZvGI6uXYxv4PUew22aBrk 9883
that_ml_library/chart_plotting.py sha256=s9h2B9hurrVH1vNu2XdjrPMNInwPkiJX9jvI26qeEfU 24910
that_ml_library/data_preprocess.py sha256=tqy3wMET80KBpuEeQ7bawUf6_m_y_33z04tJWAs2XSY 5323
that_ml_library/ml_helpers.py sha256=b63deUWmwaU18VM8YyviyNaDpL2ExkUMi2p7Yydy56M 14425
that_ml_library/utils.py sha256=K_eWW2Y2dG1a8M8k-O6CoQgwREfjq0Gu886eEiADG7M 624
that_ml_library-0.0.5.dist-info/LICENSE sha256=xV8xoN4VOL0uw9X8RSs2IMuD_Ss_a9yAbtGNeBWZwnw 11337
that_ml_library-0.0.5.dist-info/METADATA sha256=8nulnd0K9Jte-uev3t0LlWKJpf3UiPG-zj_rhqiiQXw 2148
that_ml_library-0.0.5.dist-info/WHEEL sha256=2wepM1nk4DS4eFpYrW1TTqPcoGNfHhhO_i5m4cOimbo 92
that_ml_library-0.0.5.dist-info/entry_points.txt sha256=qZzW3WKbbYIrpL1EJjRHnrXPAqRFikLIy3wELoc0WN4 52
that_ml_library-0.0.5.dist-info/top_level.txt sha256=Mfnw5Mn72-1iR5pzzuLqeypc8vRHGU2u5y69_X3zZJw 16
that_ml_library-0.0.5.dist-info/RECORD — —

top_level.txt

that_ml_library

entry_points.txt

[nbdev]
that_ml_library = that_ml_library._modidx:d