Package org.apache.spark.ml.classification

package org.apache.spark.ml.classification

Related Packages

Package	Description
org.apache.spark.ml	DataFrame-based machine learning APIs to let users quickly assemble and configure practical machine learning pipelines.

Class	Description
BinaryClassificationSummary	Abstraction for binary classification results for a given model.
BinaryLogisticRegressionSummary	Abstraction for binary logistic regression results for a given model.
BinaryLogisticRegressionSummaryImpl	Binary logistic regression results for a given model.
BinaryLogisticRegressionTrainingSummary	Abstraction for binary logistic regression training results.
BinaryLogisticRegressionTrainingSummaryImpl	Binary logistic regression training results.
BinaryRandomForestClassificationSummary	Abstraction for BinaryRandomForestClassification results for a given model.
BinaryRandomForestClassificationSummaryImpl	Binary RandomForestClassification for a given model.
BinaryRandomForestClassificationTrainingSummary	Abstraction for BinaryRandomForestClassification training results.
BinaryRandomForestClassificationTrainingSummaryImpl	Binary RandomForestClassification training results.
ClassificationModel<FeaturesType,M extends ClassificationModel<FeaturesType,M>>	Model produced by a Classifier.
ClassificationSummary	Abstraction for multiclass classification results for a given model.
Classifier<FeaturesType,E extends Classifier<FeaturesType,E,M>,M extends ClassificationModel<FeaturesType,M>>	Single-label binary or multiclass classification.
ClassifierParams	(private[spark]) Params for classification.
ClassifierTypeTrait
DecisionTreeClassificationModel	Decision tree model (http://en.wikipedia.org/wiki/Decision_tree_learning) for classification.
DecisionTreeClassifier	Decision tree learning algorithm (http://en.wikipedia.org/wiki/Decision_tree_learning) for classification.
FMClassificationModel	Model produced by FMClassifier
FMClassificationSummary	Abstraction for FMClassifier results for a given model.
FMClassificationSummaryImpl	FMClassifier results for a given model.
FMClassificationTrainingSummary	Abstraction for FMClassifier training results.
FMClassificationTrainingSummaryImpl	FMClassifier training results.
FMClassifier	Factorization Machines learning algorithm for classification.
FMClassifierParams	Params for FMClassifier.
GBTClassificationModel	Gradient-Boosted Trees (GBTs) (http://en.wikipedia.org/wiki/Gradient_boosting) model for classification.
GBTClassifier	Gradient-Boosted Trees (GBTs) (http://en.wikipedia.org/wiki/Gradient_boosting) learning algorithm for classification.
LinearSVC	Linear SVM Classifier
LinearSVCModel	Linear SVM Model trained by LinearSVC
LinearSVCParams	Params for linear SVM Classifier.
LinearSVCSummary	Abstraction for LinearSVC results for a given model.
LinearSVCSummaryImpl	LinearSVC results for a given model.
LinearSVCTrainingSummary	Abstraction for LinearSVC training results.
LinearSVCTrainingSummaryImpl	LinearSVC training results.
LogisticRegression	Logistic regression.
LogisticRegressionModel	Model produced by LogisticRegression.
LogisticRegressionParams	Params for logistic regression.
LogisticRegressionSummary	Abstraction for logistic regression results for a given model.
LogisticRegressionSummaryImpl	Multiclass logistic regression results for a given model.
LogisticRegressionTrainingSummary	Abstraction for multiclass logistic regression training results.
LogisticRegressionTrainingSummaryImpl	Multiclass logistic regression training results.
MultilayerPerceptronClassificationModel	Classification model based on the Multilayer Perceptron.
MultilayerPerceptronClassificationSummary	Abstraction for MultilayerPerceptronClassification results for a given model.
MultilayerPerceptronClassificationSummaryImpl	MultilayerPerceptronClassification results for a given model.
MultilayerPerceptronClassificationTrainingSummary	Abstraction for MultilayerPerceptronClassification training results.
MultilayerPerceptronClassificationTrainingSummaryImpl	MultilayerPerceptronClassification training results.
MultilayerPerceptronClassifier	Classifier trainer based on the Multilayer Perceptron.
MultilayerPerceptronParams	Params for Multilayer Perceptron.
NaiveBayes	Naive Bayes Classifiers.
NaiveBayesModel	Model produced by NaiveBayes
NaiveBayesParams	Params for Naive Bayes Classifiers.
OneVsRest	Reduction of Multiclass Classification to Binary Classification.
OneVsRestModel	Model produced by OneVsRest.
OneVsRestParams	Params for OneVsRest.
ProbabilisticClassificationModel<FeaturesType,M extends ProbabilisticClassificationModel<FeaturesType,M>>	Model produced by a ProbabilisticClassifier.
ProbabilisticClassifier<FeaturesType,E extends ProbabilisticClassifier<FeaturesType,E,M>,M extends ProbabilisticClassificationModel<FeaturesType,M>>	Single-label binary or multiclass classifier which can output class conditional probabilities.
ProbabilisticClassifierParams	(private[classification]) Params for probabilistic classification.
RandomForestClassificationModel	Random Forest model for classification.
RandomForestClassificationSummary	Abstraction for multiclass RandomForestClassification results for a given model.
RandomForestClassificationSummaryImpl	Multiclass RandomForestClassification results for a given model.
RandomForestClassificationTrainingSummary	Abstraction for multiclass RandomForestClassification training results.
RandomForestClassificationTrainingSummaryImpl	Multiclass RandomForestClassification training results.
RandomForestClassifier	Random Forest learning algorithm for classification.
TrainingSummary	Abstraction for training results.