A Python package built on sklearn for running a series of classification Algorithms on a given data in a faster and easier way.

fork and clone this repo on your local machine and set-up your virtualenv by running the command

pip install requirements.txt

to install the package, navigate to the file directory and run:

pip install .

Assign the variables X and Y to the desired columns and assign the variable size to the desired test_size.

Check test.py to see the use case.

from fastML import fastML

fastML(X, Y, size)

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

MIT