Metadata-Version: 2.1
Name: metric
Version: 0.3.0
Summary: Metrics for Machine Learning evaluation  Data Science Measurement
Home-page: https://github.com/arita37/
Author: Kevin Noel
Author-email: brookm291@gmail.com
License: Apache 2.0
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: End Users/Desktop
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Environment :: Console
Classifier: Environment :: Web Environment
Classifier: Operating System :: POSIX
Classifier: Operating System :: MacOS :: MacOS X
Requires-Python: >=3.6.*
Description-Content-Type: text/markdown
Requires-Dist: numpy (==1.16.4)
Requires-Dist: pandas (==0.24.2)
Requires-Dist: scipy (==1.3.0)
Requires-Dist: scikit-learn (==0.21.2)
Requires-Dist: numexpr (==2.6.8)



```
Metrics for evaluating machine learning models or Data Science

Include :
   All metrics from SKLEARN.
   Category based metrics.





```




