Metadata-Version: 2.1
Name: run-models
Version: 0.0.4
Summary: Run all regression and classification models with its default parameters
Home-page: https://github.com/Shivanandroy/run_models/
Author: Shivanand Roy
Author-email: Shivanandroy.official@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Requires-Dist: scikit-learn
Requires-Dist: xgboost
Requires-Dist: lightgbm
Requires-Dist: catboost
Requires-Dist: pandas
Requires-Dist: matplotlib
Requires-Dist: numpy

ï»¿# run_models

**run_models** lets you run many regression and classification models with their default parameters and rank them by RMSE or AUC. 

## Installation

`pip install run_models`

## Dependencies
`numpy`

`pandas`

`scikit-learn`

`xgboost`

`lightgbm`

`catboost`

`matplotlib`

## How to use it?

`run_models` comes with two functions:
- `run_models.run_regressors(data, target_column)` for regression tasks - All models are ranked by RMSE.
- `run_models.run_classifiers(data, target_column)` for classification tasks - All models are ranked y AUC.

`import run_models as rm` 

`fig = rm.run_classifiers(titanic_data, 'Survived')`




