An Auto ML framework that solves Classification Tasks
Project description
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
Screenshots
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.
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ARAMBHML-0.1.0.tar.gz
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