ARAMBHML 0.2.4

An Auto ML framework that solves Classification Tasks

Auto ML for Solving Classification Problems for Tabular Data

Functionality of the Auto ML Framework

• Detects the type of problem from the given target feature
• Does EDA on it's own
• Finds out if there are null values present or not
• If null values are present they are treated specifically with the class they are present in
• Forms train-test split on it's own
• Applies 6 ML models to show the use which model performs the best

Usage

• Make sure you have Python installed in your system.
• Run Following command in the CMD.

 pip install ARAMBHML

Example

test.py

 from ARAMBHML import arambhNet

 new = arambhNet(path,target) #target is the dependent feature and path is the path of csv file

 new.get_model_details(path,target)

Run the Above Commands to get the results.

NOTE There are more than functionalities available, you can press "tab" after "new." to get the options

Here you can perform EDA and also see how do models perform on the dataset.

Note

• I have tried to implement all the functionality, it might have some bugs also. Moreover a number of more functionalities would be added later.