islanders 2022.1.18

module designed to make your data preprocessing experience easier

Islanders

this is a python packaged dessigned to make artificial Intelligence engineers, machine learning engineers, and Data Sciencist lives easier to do there job. within this package you will have the ability to use irdatacleanings methods as well as

• datasets: this method is for those part of the islander community where you will be able to run code like,

import islanders as ir
gifts = ir.dataset("amazon electronic")
titanic = ir.dataset("titanic")
movie = ir.datasets("movie")

DT

this class is designed to work with scikit-learns DecisionTreeClassifier by making it so that all you have to do when you initiate this class is set the X and Y values DT(X values,Y values, test_size=.2) once you have initialized the class you can build the model by calling the build merthod there are two ways to call this methodthe first way is dt = self.build() which will just return the model itself, the next way is a bit more useful I think, dt,X_test,y_test = dec.build(True) this method will return not just the model but the X_test data and the y_test allowing you to run test on the model. This class is designed to return the most optimized model you can possible have the last method allows you to see what your tree looks like you can call this method by running self.show()