.. Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to you under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at .. http://www.apache.org/licenses/LICENSE-2.0 .. Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. MLlib ===== Classification -------------- .. currentmodule:: pyspark.mllib.classification .. autosummary:: :template: class_with_docs.rst :toctree: api/ LogisticRegressionModel LogisticRegressionWithSGD LogisticRegressionWithLBFGS SVMModel SVMWithSGD NaiveBayesModel NaiveBayes StreamingLogisticRegressionWithSGD Clustering ---------- .. currentmodule:: pyspark.mllib.clustering .. autosummary:: :template: class_with_docs.rst :toctree: api/ BisectingKMeansModel BisectingKMeans KMeansModel KMeans GaussianMixtureModel GaussianMixture PowerIterationClusteringModel PowerIterationClustering StreamingKMeans StreamingKMeansModel LDA LDAModel Evaluation ---------- .. currentmodule:: pyspark.mllib.evaluation .. autosummary:: :template: class_with_docs.rst :toctree: api/ BinaryClassificationMetrics RegressionMetrics MulticlassMetrics RankingMetrics Feature ------- .. currentmodule:: pyspark.mllib.feature .. autosummary:: :template: class_with_docs.rst :toctree: api/ Normalizer StandardScalerModel StandardScaler HashingTF IDFModel IDF Word2Vec Word2VecModel ChiSqSelector ChiSqSelectorModel ElementwiseProduct Frequency Pattern Mining ------------------------ .. currentmodule:: pyspark.mllib.fpm .. autosummary:: :template: class_with_docs.rst :toctree: api/ FPGrowth FPGrowthModel PrefixSpan PrefixSpanModel Vector and Matrix ----------------- .. currentmodule:: pyspark.mllib.linalg .. autosummary:: :template: class_with_docs.rst :toctree: api/ Vector DenseVector SparseVector Vectors Matrix DenseMatrix SparseMatrix Matrices QRDecomposition Distributed Representation ~~~~~~~~~~~~~~~~~~~~~~~~~~ .. currentmodule:: pyspark.mllib.linalg.distributed .. autosummary:: :template: class_with_docs.rst :toctree: api/ BlockMatrix CoordinateMatrix DistributedMatrix IndexedRow IndexedRowMatrix MatrixEntry RowMatrix SingularValueDecomposition Random ------ .. currentmodule:: pyspark.mllib.random .. autosummary:: :template: class_with_docs.rst :toctree: api/ RandomRDDs Recommendation -------------- .. currentmodule:: pyspark.mllib.recommendation .. autosummary:: :template: class_with_docs.rst :toctree: api/ MatrixFactorizationModel ALS Rating Regression ---------- .. currentmodule:: pyspark.mllib.regression .. autosummary:: :template: class_with_docs.rst :toctree: api/ LabeledPoint LinearModel LinearRegressionModel LinearRegressionWithSGD RidgeRegressionModel RidgeRegressionWithSGD LassoModel LassoWithSGD IsotonicRegressionModel IsotonicRegression StreamingLinearAlgorithm StreamingLinearRegressionWithSGD Statistics ---------- .. currentmodule:: pyspark.mllib.stat .. autosummary:: :template: class_with_docs.rst :toctree: api/ Statistics MultivariateStatisticalSummary ChiSqTestResult MultivariateGaussian KernelDensity Tree ---- .. currentmodule:: pyspark.mllib.tree .. autosummary:: :template: class_with_docs.rst :toctree: api/ DecisionTreeModel DecisionTree RandomForestModel RandomForest GradientBoostedTreesModel GradientBoostedTrees Utilities --------- .. currentmodule:: pyspark.mllib.util .. autosummary:: :template: class_with_docs.rst :toctree: api/ JavaLoader JavaSaveable LinearDataGenerator Loader MLUtils Saveable