Metadata-Version: 2.1
Name: modelreport
Version: 0.1
Summary: A lightweight library to get the all classification metric scores.
Author: SusmitPanda
Author-email: susmit.vssut@gmail.com
License: MIT
Keywords: accuracy,confusion_matrix,precision_score,recall_score,f1_score,auc,matthews_corrcoef,cohen_kappa_score,classification report
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: scikit-learn
Requires-Dist: pandas


Installation
-------------


    ```pip install -U modelreport```

Example
---------

from modelreport import metrics

print(metrics(test data,predicted data))


`More Updates Coming Soon...` 😄


Contact
---------

I would like to get feedback from the community. If you have feature suggestions, support questions or general comments, please email me at susmit.vssut@gmail.com

