Metadata-Version: 2.1
Name: classification-analysis
Version: 0.0.3
Summary: This library is to monitor your model during the training process and track the metrics to find the best model
Home-page: https://github.com/Samer92/classification_analysis
Author: sammer sallam
Author-email: samersallam92@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
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Requires-Dist: imbalanced-learn (==0.7.0)
Requires-Dist: imblearn (==0.0)
Requires-Dist: joblib (==0.17.0)
Requires-Dist: kiwisolver (==1.2.0)
Requires-Dist: matplotlib (==3.2.2)
Requires-Dist: numpy (==1.19.0)
Requires-Dist: pandas (==1.0.5)
Requires-Dist: Pillow (==7.1.2)
Requires-Dist: pyparsing (==2.4.7)
Requires-Dist: python-dateutil (==2.8.1)
Requires-Dist: pytz (==2020.1)
Requires-Dist: scikit-learn (==0.23.2)
Requires-Dist: scipy (==1.5.0)
Requires-Dist: six (==1.15.0)
Requires-Dist: threadpoolctl (==2.1.0)



# classification-analysis

The main target of this module is to:
1. Provides a dashboard to monitor your model during the training process.
2. Helps track the metric that you choose to find the best model for your problem.

In order to install, open the command prompt and type:
```
pip install classification_analysis
```

Refer to the following [notebook](https://github.com/Samer92/classification-analysis/tree/master/example) to see some code examples

