Metadata-Version: 2.1
Name: mallu
Version: 0.1.5
Summary: Package for easier Machine Learning Workflow.
Home-page: https://github.com/santokalayil/mallu
Author: Santo K Thomas
Author-email: santokalayil@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: matplotlib
Requires-Dist: scipy
Requires-Dist: seaborn
Requires-Dist: sklearn
Requires-Dist: catboost
Requires-Dist: xgboost
Requires-Dist: warnings
Requires-Dist: imblearn
Requires-Dist: lightgbm

# mallu

This project is a python module for making machine learning workflow easier than ever before.

## Installation

Run the following to install:

'''python
pip install mallu
'''

## Usage

'''python
> import mallu as ml

> from mallu import santa as san

> from mallu import model as mlm

Rull All Machine Learning Classificatin alogorithms at once and see the results

> RunAll(models,data,phase='',scores=None,trained_models = {},use_params=False)

Feature Scale your data OHE_features refers to one hot encoded features. OHE_features are to be listed to avoid them

> FeatureScale(data,OHE_features,scaler='MinMaxScaler')


'''

## About Author

Santo K Thomas, who had completed Post-Graduate Diploma on Data Science and Enginneering from Great Lakes (Great Learning), India



