| Interface | Description |
|---|---|
| ClassificationModel |
:: Experimental ::
Represents a classification model that predicts to which of a set of categories an example
belongs.
|
| Class | Description |
|---|---|
| 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 |
Trains a Naive Bayes model given an RDD of
(label, features) pairs. |
| 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.
|