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:
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:
1 maintainer
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umaat-1.0.5.tar.gz
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