org.apache.spark.mllib

classification

package classification

Visibility
  1. Public
  2. All

Type Members

  1. trait ClassificationModel extends Serializable

    :: Experimental :: Represents a classification model that predicts to which of a set of categories an example belongs.

  2. class LogisticRegressionModel extends GeneralizedLinearModel with ClassificationModel with Serializable

    Classification model trained using Logistic Regression.

  3. class LogisticRegressionWithSGD extends GeneralizedLinearAlgorithm[LogisticRegressionModel] with Serializable

    Train a classification model for Logistic Regression using Stochastic Gradient Descent.

  4. class NaiveBayes extends Serializable with Logging

    Trains a Naive Bayes model given an RDD of (label, features) pairs.

  5. class NaiveBayesModel extends ClassificationModel with Serializable

    Model for Naive Bayes Classifiers.

  6. class SVMModel extends GeneralizedLinearModel with ClassificationModel with Serializable

    Model for Support Vector Machines (SVMs).

  7. class SVMWithSGD extends GeneralizedLinearAlgorithm[SVMModel] with Serializable

    Train a Support Vector Machine (SVM) using Stochastic Gradient Descent.

Value Members

  1. object LogisticRegressionWithSGD extends Serializable

    Top-level methods for calling Logistic Regression.

  2. object NaiveBayes extends Serializable

    Top-level methods for calling naive Bayes.

  3. object SVMWithSGD extends Serializable

    Top-level methods for calling SVM.

Ungrouped