High Performance Implementation of the Naive Bayes Algorithm
Bernoulli Naive Bayes Classifier
Extract Model Coefficients
Gaussian Naive Bayes Classifier
Obtain names of class conditional distribution assigned to features
Predict Method for Family of Naive Bayes Objects
Multinomial Naive Bayes Classifier
Naive Bayes Classifier
naivebayes
Non-Parametric Naive Bayes Classifier
Plot Method for bernoulli_naive_bayes Objects
Plot Method for gaussian_naive_bayes Objects
Plot Method for naive_bayes Objects
Plot Method for nonparametric_naive_bayes Objects
Plot Method for poisson_naive_bayes Objects
Poisson Naive Bayes Classifier
Predict Method for bernoulli_naive_bayes Objects
Predict Method for gaussian_naive_bayes Objects
Predict Method for multinomial_naive_bayes Objects
Predict Method for naive_bayes Objects
Predict Method for nonparametric_naive_bayes Objects
Predict Method for poisson_naive_bayes Objects
Browse Tables of Naive Bayes Classifier
In this implementation of the Naive Bayes classifier following class conditional distributions are available: 'Bernoulli', 'Categorical', 'Gaussian', 'Poisson', 'Multinomial' and non-parametric representation of the class conditional density estimated via Kernel Density Estimation. Implemented classifiers handle missing data and can take advantage of sparse data.
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