umaat 1.0.5

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 Machine-learning Algorithm Accuracy Test

This is a package that houses the functions which can produce accuracy results for each algorithm listed under the categories of Clustering, Regression & Classification based on passing the arguments - independent and dependent variables/features from a given dataset, based on which the user can choose the best category and algorithm suitable for their dataset and then implement the machine learning model with the same

Development Status:

Under Development (Early release)

Developed by:

Vishal Balaji Sivaraman

Installation:

Use the package manager pip to install umaat

For installation of latest package

pip install umaat

For installation of a particular version of package

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