H2ONaiveBayes

H2O Naive Bayes

Input

It takes in a DataFrame as input

Type

transform

Class

fire.nodes.h2o.NodeH2ONaiveBayes

Fields

Details

Naïve Bayes is a classification algorithm that relies on strong assumptions of the independence of covariates in applying Bayes Theorem. The Naïve Bayes classifier assumes independence between predictor variables conditional on the response, and a Gaussian distribution of numeric predictors with mean and standard deviation computed from the training dataset.

More details are available at : http://docs.h2o.ai/h2o/latest-stable/h2o-docs/data-science/naive-bayes.html