:: Experimental :: Represents a classification model that predicts to which of a set of categories an example belongs.
Classification model trained using Logistic Regression.
Train a classification model for Logistic Regression using Limited-memory BFGS.
Train a classification model for Logistic Regression using Stochastic Gradient Descent.
Trains a Naive Bayes model given an RDD of (label, features)
pairs.
Model for Naive Bayes Classifiers.
Model for Support Vector Machines (SVMs).
Train a Support Vector Machine (SVM) using Stochastic Gradient Descent.
Top-level methods for calling Logistic Regression using Stochastic Gradient Descent.
Top-level methods for calling naive Bayes.
Top-level methods for calling SVM.