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Interface Summary | |
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ClassificationModel | :: Experimental :: Represents a classification model that predicts to which of a set of categories an example belongs. |
Class Summary | |
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LogisticRegressionModel | Classification model trained using Multinomial/Binary Logistic Regression. |
LogisticRegressionWithLBFGS | Train a classification model for Multinomial/Binary Logistic Regression using Limited-memory BFGS. |
LogisticRegressionWithSGD | Train a classification model for Binary Logistic Regression using Stochastic Gradient Descent. |
NaiveBayes | |
NaiveBayesModel | Model for Naive Bayes Classifiers. |
StreamingLogisticRegressionWithSGD | :: Experimental :: Train or predict a logistic regression model on streaming data. |
SVMModel | Model for Support Vector Machines (SVMs). |
SVMWithSGD | Train a Support Vector Machine (SVM) using Stochastic Gradient Descent. |
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