Metadata-Version: 2.1
Name: mlfast
Version: 0.0.7
Summary: its a python machine learning package
Home-page: https://github.com/Abdul-Jaweed/mlfast
Author: Abdul-Jaweed
Author-email: jdgaming7320@gmail.com
License: MIT
Project-URL: Bug Tracker, https://github.com/Abdul-Jaweed/mlfast/issues
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Provides-Extra: testing
License-File: LICENSE

# mlfast

This Python machine learning package is built on top of scikit-learn and provides a simple API for regression and classification modeling. The main function in this package is called Regression() and Classification() which takes in the following arguments:

`X`: The independent variables (features) of the data set

`y`: The dependent variable (target) of the data set

`model`: The name of the regression and classification algorithm to be used (e.g. `lr` for Linear Regression, or `rf` for Random Forest Classifier, etc.)

`scaler`: The name of the data scaler to be used (e.g. "standard" for StandardScaler, "robust" for RobustScaler, etc.)

`cat`: A boolean indicating [`True` or `False`] whether the data set has categorical variables that need to be one-hot encoded

- For more details click here - [mlfast](https://abdul-jaweed.github.io/mlfast/)
