pycaret

View on PyPIReverse Dependencies (0)

0.0.18 pycaret-0.0.18-py3-none-any.whl

Wheel Details

Project: pycaret
Version: 0.0.18
Filename: pycaret-0.0.18-py3-none-any.whl
Download: [link]
Size: 139166
MD5: 38699c724d79b50c42b13611a181eca4
SHA256: 61a1b11e81504e67d87770d9bf86f54edecbeae4831f0420143245dbc40a81a3
Uploaded: 2020-01-17 16:32:44 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: pycaret
Version: 0.0.18
Summary: A Python package for supervised and unsupervised machine learning.
Author: Moez Ali
Author-Email: moez.ali[at]queensu.ca
Home-Page: https://github.com/pycaret/pycaret
License: MIT
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: seaborn
Requires-Dist: matplotlib
Requires-Dist: IPython
Requires-Dist: joblib
Requires-Dist: scikit-learn
Requires-Dist: shap
Requires-Dist: ipywidgets
Requires-Dist: yellowbrick (==1.0.1)
Requires-Dist: xgboost (==0.90)
Requires-Dist: wordcloud
Requires-Dist: textblob
Requires-Dist: plotly (==4.4.1)
Requires-Dist: cufflinks (==0.17.0)
Requires-Dist: umap-learn
Requires-Dist: lightgbm (==2.3.1)
Requires-Dist: pyLDAvis
Requires-Dist: gensim
Requires-Dist: spacy
Requires-Dist: nltk
Requires-Dist: mlxtend
Requires-Dist: pyod
Requires-Dist: catboost (==0.20.2)
Requires-Dist: pandas-profiling (==2.3.0)
Requires-Dist: kmodes (==0.10.1)
Requires-Dist: spherecluster (==0.1.7)
Description-Content-Type: text/markdown
[Description omitted; length: 6732 characters]

WHEEL

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

RECORD

Path Digest Size
pycaret/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
pycaret/anomaly.py sha256=I9_noa4T9XmCzU9VDMLmFoy1pnXzvUTZXes_-2zkTwc 58767
pycaret/arules.py sha256=_NqSExWkmZs9RDqDqxeeCU7JEHoJhYE-FuP_JJlHElg 12695
pycaret/classification.py sha256=9v_POdZi-LZcXbRrrZ76SZqgYPLH0ATNCXdgqjOKnAU 346499
pycaret/clustering.py sha256=ILXH43_Vly5jxqvXKuxCieXeTteCVh_6KcHeBVrPoac 59496
pycaret/datasets.py sha256=-qCCpxbpWziCDpsrNscl7vQ94MKP0ubXDjBGRG-9w3o 1877
pycaret/nlp.py sha256=LLFdwg82C_H339YzkmFJxVmDYihbHlUOj3_OTcdU774 91734
pycaret/regression.py sha256=wiIaIH_1JSytq8ApIiTjgDXbzB8YFXojhyPGEOVDS-w 279688
pycaret-0.0.18.dist-info/LICENSE sha256=W-ugRfQDG-XfgYOxznS2A9ny0Aot7qH7NeY9ZilL2ZU 1074
pycaret-0.0.18.dist-info/METADATA sha256=NYla9oixtXmxQT1uV0D-TIZqub99Q-M-3JVVp1HWDao 7919
pycaret-0.0.18.dist-info/WHEEL sha256=v8slff5hmCpvciQ3G55d2d1CnOBupjDFJHDE2dUb1Ao 97
pycaret-0.0.18.dist-info/top_level.txt sha256=j0FvMjIfC1u7otX8fR5JwH5G5ra54yHcm2QsOSudXJQ 8
pycaret-0.0.18.dist-info/RECORD

top_level.txt

pycaret