Metadata-Version: 2.1
Name: skprofiling
Version: 0.1.2
Summary: Profiling of machine learning models based on scikit-learning interface
Home-page: https://github.com/tiagohcalves/scikit-profiling
Author: Tiago Alves
Author-email: tiagohcalves@gmail.com
License: MIT
Keywords: pandas machine learning profiling model
Platform: UNKNOWN
Requires-Dist: pandas
Requires-Dist: scikit-learn (>=0.21)
Requires-Dist: numpy
Requires-Dist: seaborn
Requires-Dist: matplotlib
Requires-Dist: scipy
Requires-Dist: IPython

# Scikit Profiling
Profiling of machine learning models based on scikit-learning interface

## Examples

The following examples can give you an impression of what the package can do:

[Binary Classification](https://github.com/tiagohcalves/scikit-profiling/blob/master/notebooks/lib-testing-binary.ipynb)


## Installation

You can install directly from PyPI:

`pip install skprofiling`

Or from source:

```
git clone https://github.com/tiagohcalves/scikit-profiling
cd datapipe
pip install .
```


