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| Interface Summary | |
|---|---|
| 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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