umaat 0.6

This is a package that houses the functions which can produce accuracy results for each algorithm in the categories of Clustering,Regression & Classification based on passing the arguments - independent and dependent variables/features

umaat-Ultimate Machiene-learning Algorithm Accuracy Test

This package consists of various algorithms which can produce accuracy results for each algorithm in the categories of Clustering,Regression & Classification based on given the arguments - independent and dependent variables/features

Development Status:

Under Development (Early release)

Developed by:

Vishal Balaji Sivaraman

Installation:

Use the package manager pip to install umaat

Installation of Package through Command prompt(cmd)/Terminal

pip install umaat
   or
pip install umaat == version number of package

Installation of Package through Notebooks(Jupyter,Google colab etc)

! pip install umaat
     or
! pip install umaat == version number of package

To import umaat:

import umaat

To use a particular function in umaat:

from umaat import model_accuracy
ma=model_accuracy()
ma.accuracy_test(X,y) 

License:

MIT