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2.5.0 alphapy-2.5.0-py3-none-any.whl

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Project: alphapy
Version: 2.5.0
Filename: alphapy-2.5.0-py3-none-any.whl
Download: [link]
Size: 112168
MD5: acb97ea6111bb08ef8d38ad8d3222cd4
SHA256: 2735c05d3bb544be74a2554abf4b26dbe5eae4ef76fe5a5ccb9b993661556a05
Uploaded: 2020-08-29 18:44:15 +0000

dist-info

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

METADATA

Metadata-Version: 2.1
Name: alphapy
Version: 2.5.0
Summary: AlphaPy: A Machine Learning Pipeline for Speculators
Maintainer: ScottFree LLC [Robert D. Scott II, Mark Conway]
Maintainer-Email: scottfree.analytics[at]scottfreellc.com
Home-Page: https://github.com/ScottFreeLLC/AlphaPy
License: Apache License, Version 2
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Operating System :: OS Independent
Requires-Dist: arrow (>=0.13)
Requires-Dist: bokeh (>=1.3)
Requires-Dist: category-encoders (>=2.1)
Requires-Dist: iexfinance (>=0.4.3)
Requires-Dist: imbalanced-learn (>=0.5)
Requires-Dist: ipython (>=7.2)
Requires-Dist: keras (>=2.3)
Requires-Dist: matplotlib (>=3.0)
Requires-Dist: numpy (>=1.17)
Requires-Dist: pandas (>=1.0)
Requires-Dist: pandas-datareader (>=0.8)
Requires-Dist: pyfolio (>=0.9)
Requires-Dist: pyyaml (>=5.0)
Requires-Dist: scikit-learn (>=0.23.1)
Requires-Dist: scipy (==1.4.1)
Requires-Dist: seaborn (>=0.9)
Requires-Dist: tensorflow (>=2.0)
[Description omitted; length: 240 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.34.2)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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alphapy-2.5.0.dist-info/RECORD — —

top_level.txt

alphapy

entry_points.txt

[console_scripts]
alphapy = alphapy.__main__:main
mflow = alphapy.market_flow:main
sflow = alphapy.sport_flow:main