You can download spark-mllib_2.10-1.2.0.jar in this page.
Apache License
spark-mllib_2.10-1.2.0.jar file has the following types.
META-INF/DEPENDENCIES META-INF/LICENSE META-INF/MANIFEST.MF META-INF/NOTICE META-INF/maven/org.apache.spark/spark-mllib_2.10/pom.properties META-INF/maven/org.apache.spark/spark-mllib_2.10/pom.xml META-INF/maven/org.spark-project.spark/unused/pom.properties META-INF/maven/org.spark-project.spark/unused/pom.xml org.apache.spark.ml.Estimator.class org.apache.spark.ml.Evaluator.class org.apache.spark.ml.Identifiable.class org.apache.spark.ml.Model.class org.apache.spark.ml.Pipeline.class org.apache.spark.ml.PipelineModel.class org.apache.spark.ml.PipelineStage.class org.apache.spark.ml.Transformer.class org.apache.spark.ml.UnaryTransformer.class org.apache.spark.ml.classification.LogisticRegression.class org.apache.spark.ml.classification.LogisticRegressionModel.class org.apache.spark.ml.classification.LogisticRegressionParams.class org.apache.spark.ml.evaluation.BinaryClassificationEvaluator.class org.apache.spark.ml.feature.HashingTF.class org.apache.spark.ml.feature.StandardScaler.class org.apache.spark.ml.feature.StandardScalerModel.class org.apache.spark.ml.feature.StandardScalerParams.class org.apache.spark.ml.feature.Tokenizer.class org.apache.spark.ml.package-info.class org.apache.spark.ml.package.class org.apache.spark.ml.param.BooleanParam.class org.apache.spark.ml.param.DoubleParam.class org.apache.spark.ml.param.FloatParam.class org.apache.spark.ml.param.HasFeaturesCol.class org.apache.spark.ml.param.HasInputCol.class org.apache.spark.ml.param.HasLabelCol.class org.apache.spark.ml.param.HasMaxIter.class org.apache.spark.ml.param.HasOutputCol.class org.apache.spark.ml.param.HasPredictionCol.class org.apache.spark.ml.param.HasRegParam.class org.apache.spark.ml.param.HasScoreCol.class org.apache.spark.ml.param.HasThreshold.class org.apache.spark.ml.param.IntParam.class org.apache.spark.ml.param.LongParam.class org.apache.spark.ml.param.Param.class org.apache.spark.ml.param.ParamMap.class org.apache.spark.ml.param.ParamPair.class org.apache.spark.ml.param.Params.class org.apache.spark.ml.tuning.CrossValidator.class org.apache.spark.ml.tuning.CrossValidatorModel.class org.apache.spark.ml.tuning.CrossValidatorParams.class org.apache.spark.ml.tuning.ParamGridBuilder.class org.apache.spark.mllib.api.python.PythonMLLibAPI.class org.apache.spark.mllib.api.python.SerDe.class org.apache.spark.mllib.api.python.package.class org.apache.spark.mllib.classification.ClassificationModel.class org.apache.spark.mllib.classification.LogisticRegressionModel.class org.apache.spark.mllib.classification.LogisticRegressionWithLBFGS.class org.apache.spark.mllib.classification.LogisticRegressionWithSGD.class org.apache.spark.mllib.classification.NaiveBayes.class org.apache.spark.mllib.classification.NaiveBayesModel.class org.apache.spark.mllib.classification.SVMModel.class org.apache.spark.mllib.classification.SVMWithSGD.class org.apache.spark.mllib.clustering.KMeans.class org.apache.spark.mllib.clustering.KMeansModel.class org.apache.spark.mllib.clustering.LocalKMeans.class org.apache.spark.mllib.clustering.StreamingKMeans.class org.apache.spark.mllib.clustering.StreamingKMeansModel.class org.apache.spark.mllib.clustering.VectorWithNorm.class org.apache.spark.mllib.evaluation.AreaUnderCurve.class org.apache.spark.mllib.evaluation.BinaryClassificationMetrics.class org.apache.spark.mllib.evaluation.MulticlassMetrics.class org.apache.spark.mllib.evaluation.MultilabelMetrics.class org.apache.spark.mllib.evaluation.RankingMetrics.class org.apache.spark.mllib.evaluation.RegressionMetrics.class org.apache.spark.mllib.evaluation.binary.BinaryClassificationMetricComputer.class org.apache.spark.mllib.evaluation.binary.BinaryConfusionMatrix.class org.apache.spark.mllib.evaluation.binary.BinaryConfusionMatrixImpl.class org.apache.spark.mllib.evaluation.binary.BinaryLabelCounter.class org.apache.spark.mllib.evaluation.binary.FMeasure.class org.apache.spark.mllib.evaluation.binary.FalsePositiveRate.class org.apache.spark.mllib.evaluation.binary.Precision.class org.apache.spark.mllib.evaluation.binary.Recall.class org.apache.spark.mllib.feature.HashingTF.class org.apache.spark.mllib.feature.IDF.class org.apache.spark.mllib.feature.IDFModel.class org.apache.spark.mllib.feature.Normalizer.class org.apache.spark.mllib.feature.StandardScaler.class org.apache.spark.mllib.feature.StandardScalerModel.class org.apache.spark.mllib.feature.VectorTransformer.class org.apache.spark.mllib.feature.VocabWord.class org.apache.spark.mllib.feature.Word2Vec.class org.apache.spark.mllib.feature.Word2VecModel.class org.apache.spark.mllib.linalg.BLAS.class org.apache.spark.mllib.linalg.DenseMatrix.class org.apache.spark.mllib.linalg.DenseVector.class org.apache.spark.mllib.linalg.EigenValueDecomposition.class org.apache.spark.mllib.linalg.Matrices.class org.apache.spark.mllib.linalg.Matrix.class org.apache.spark.mllib.linalg.SingularValueDecomposition.class org.apache.spark.mllib.linalg.SparseMatrix.class org.apache.spark.mllib.linalg.SparseVector.class org.apache.spark.mllib.linalg.Vector.class org.apache.spark.mllib.linalg.VectorUDT.class org.apache.spark.mllib.linalg.Vectors.class org.apache.spark.mllib.linalg.distributed.CoordinateMatrix.class org.apache.spark.mllib.linalg.distributed.DistributedMatrix.class org.apache.spark.mllib.linalg.distributed.IndexedRow.class org.apache.spark.mllib.linalg.distributed.IndexedRowMatrix.class org.apache.spark.mllib.linalg.distributed.MatrixEntry.class org.apache.spark.mllib.linalg.distributed.RowMatrix.class org.apache.spark.mllib.optimization.Gradient.class org.apache.spark.mllib.optimization.GradientDescent.class org.apache.spark.mllib.optimization.HingeGradient.class org.apache.spark.mllib.optimization.L1Updater.class org.apache.spark.mllib.optimization.LBFGS.class org.apache.spark.mllib.optimization.LeastSquaresGradient.class org.apache.spark.mllib.optimization.LogisticGradient.class org.apache.spark.mllib.optimization.NNLS.class org.apache.spark.mllib.optimization.Optimizer.class org.apache.spark.mllib.optimization.SimpleUpdater.class org.apache.spark.mllib.optimization.SquaredL2Updater.class org.apache.spark.mllib.optimization.Updater.class org.apache.spark.mllib.package.class org.apache.spark.mllib.random.PoissonGenerator.class org.apache.spark.mllib.random.RandomDataGenerator.class org.apache.spark.mllib.random.RandomRDDs.class org.apache.spark.mllib.random.StandardNormalGenerator.class org.apache.spark.mllib.random.UniformGenerator.class org.apache.spark.mllib.rdd.RDDFunctions.class org.apache.spark.mllib.rdd.RandomRDD.class org.apache.spark.mllib.rdd.RandomRDDPartition.class org.apache.spark.mllib.rdd.RandomVectorRDD.class org.apache.spark.mllib.rdd.SlidingRDD.class org.apache.spark.mllib.rdd.SlidingRDDPartition.class org.apache.spark.mllib.recommendation.ALS.class org.apache.spark.mllib.recommendation.ALSPartitioner.class org.apache.spark.mllib.recommendation.InLinkBlock.class org.apache.spark.mllib.recommendation.MatrixFactorizationModel.class org.apache.spark.mllib.recommendation.OutLinkBlock.class org.apache.spark.mllib.recommendation.Rating.class org.apache.spark.mllib.regression.GeneralizedLinearAlgorithm.class org.apache.spark.mllib.regression.GeneralizedLinearModel.class org.apache.spark.mllib.regression.LabeledPoint.class org.apache.spark.mllib.regression.LabeledPointBeanInfo.class org.apache.spark.mllib.regression.LassoModel.class org.apache.spark.mllib.regression.LassoWithSGD.class org.apache.spark.mllib.regression.LinearRegressionModel.class org.apache.spark.mllib.regression.LinearRegressionWithSGD.class org.apache.spark.mllib.regression.RegressionModel.class org.apache.spark.mllib.regression.RidgeRegressionModel.class org.apache.spark.mllib.regression.RidgeRegressionWithSGD.class org.apache.spark.mllib.regression.StreamingLinearAlgorithm.class org.apache.spark.mllib.regression.StreamingLinearRegressionWithSGD.class org.apache.spark.mllib.stat.MultivariateOnlineSummarizer.class org.apache.spark.mllib.stat.MultivariateStatisticalSummary.class org.apache.spark.mllib.stat.Statistics.class org.apache.spark.mllib.stat.correlation.Correlation.class org.apache.spark.mllib.stat.correlation.CorrelationNames.class org.apache.spark.mllib.stat.correlation.Correlations.class org.apache.spark.mllib.stat.correlation.PearsonCorrelation.class org.apache.spark.mllib.stat.correlation.SpearmanCorrelation.class org.apache.spark.mllib.stat.test.ChiSqTest.class org.apache.spark.mllib.stat.test.ChiSqTestResult.class org.apache.spark.mllib.stat.test.TestResult.class org.apache.spark.mllib.tree.DecisionTree.class org.apache.spark.mllib.tree.GradientBoostedTrees.class org.apache.spark.mllib.tree.RandomForest.class org.apache.spark.mllib.tree.configuration.Algo.class org.apache.spark.mllib.tree.configuration.BoostingStrategy.class org.apache.spark.mllib.tree.configuration.EnsembleCombiningStrategy.class org.apache.spark.mllib.tree.configuration.FeatureType.class org.apache.spark.mllib.tree.configuration.QuantileStrategy.class org.apache.spark.mllib.tree.configuration.Strategy.class org.apache.spark.mllib.tree.impl.BaggedPoint.class org.apache.spark.mllib.tree.impl.DTStatsAggregator.class org.apache.spark.mllib.tree.impl.DecisionTreeMetadata.class org.apache.spark.mllib.tree.impl.NodeIdCache.class org.apache.spark.mllib.tree.impl.NodeIndexUpdater.class org.apache.spark.mllib.tree.impl.TimeTracker.class org.apache.spark.mllib.tree.impl.TreePoint.class org.apache.spark.mllib.tree.impurity.Entropy.class org.apache.spark.mllib.tree.impurity.EntropyAggregator.class org.apache.spark.mllib.tree.impurity.EntropyCalculator.class org.apache.spark.mllib.tree.impurity.Gini.class org.apache.spark.mllib.tree.impurity.GiniAggregator.class org.apache.spark.mllib.tree.impurity.GiniCalculator.class org.apache.spark.mllib.tree.impurity.Impurities.class org.apache.spark.mllib.tree.impurity.Impurity.class org.apache.spark.mllib.tree.impurity.ImpurityAggregator.class org.apache.spark.mllib.tree.impurity.ImpurityCalculator.class org.apache.spark.mllib.tree.impurity.Variance.class org.apache.spark.mllib.tree.impurity.VarianceAggregator.class org.apache.spark.mllib.tree.impurity.VarianceCalculator.class org.apache.spark.mllib.tree.loss.AbsoluteError.class org.apache.spark.mllib.tree.loss.LogLoss.class org.apache.spark.mllib.tree.loss.Loss.class org.apache.spark.mllib.tree.loss.Losses.class org.apache.spark.mllib.tree.loss.SquaredError.class org.apache.spark.mllib.tree.model.Bin.class org.apache.spark.mllib.tree.model.DecisionTreeModel.class org.apache.spark.mllib.tree.model.DummyCategoricalSplit.class org.apache.spark.mllib.tree.model.DummyHighSplit.class org.apache.spark.mllib.tree.model.DummyLowSplit.class org.apache.spark.mllib.tree.model.GradientBoostedTreesModel.class org.apache.spark.mllib.tree.model.InformationGainStats.class org.apache.spark.mllib.tree.model.Node.class org.apache.spark.mllib.tree.model.Predict.class org.apache.spark.mllib.tree.model.RandomForestModel.class org.apache.spark.mllib.tree.model.Split.class org.apache.spark.mllib.tree.model.TreeEnsembleModel.class org.apache.spark.mllib.tree.package.class org.apache.spark.mllib.util.DataValidators.class org.apache.spark.mllib.util.KMeansDataGenerator.class org.apache.spark.mllib.util.LinearDataGenerator.class org.apache.spark.mllib.util.LogisticRegressionDataGenerator.class org.apache.spark.mllib.util.MFDataGenerator.class org.apache.spark.mllib.util.MLUtils.class org.apache.spark.mllib.util.NumericParser.class org.apache.spark.mllib.util.SVMDataGenerator.class org.apache.spark.unused.UnusedStubClass.class pyspark/mllib/__init__.py pyspark/mllib/classification.py pyspark/mllib/clustering.py pyspark/mllib/common.py pyspark/mllib/feature.py pyspark/mllib/linalg.py pyspark/mllib/rand.py pyspark/mllib/recommendation.py pyspark/mllib/regression.py pyspark/mllib/stat.py pyspark/mllib/tests.py pyspark/mllib/tree.py pyspark/mllib/util.py
spark-mllib_2.10-1.2.0.pom file content.
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/maven-v4_0_0.xsd">
<parent>
<artifactId>spark-parent</artifactId>
<groupId>org.apache.spark</groupId>
<version>1.2.0</version>
</parent>
<modelVersion>4.0.0</modelVersion>
<groupId>org.apache.spark</groupId>
<artifactId>spark-mllib_2.10</artifactId>
<name>Spark Project ML Library</name>
<url>http://spark.apache.org/</url>
<build>
<outputDirectory>target/scala-${scala.binary.version}/classes</outputDirectory>
<testOutputDirectory>target/scala-${scala.binary.version}/test-classes</testOutputDirectory>
<resources>
<resource>
<directory>../python</directory>
<includes>
<include>pyspark/mllib/*.py</include>
</includes>
</resource>
</resources>
<plugins>
<plugin>
<groupId>org.scalatest</groupId>
<artifactId>scalatest-maven-plugin</artifactId>
</plugin>
</plugins>
</build>
<profiles>
<profile>
<id>netlib-lgpl</id>
<dependencies>
<dependency>
<groupId>com.github.fommil.netlib</groupId>
<artifactId>all</artifactId>
<version>1.1.2</version>
<type>pom</type>
</dependency>
</dependencies>
</profile>
</profiles>
<dependencies>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.10</artifactId>
<version>1.2.0</version>
<scope>compile</scope>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming_2.10</artifactId>
<version>1.2.0</version>
<scope>compile</scope>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-sql_2.10</artifactId>
<version>1.2.0</version>
<scope>compile</scope>
</dependency>
<dependency>
<groupId>org.eclipse.jetty</groupId>
<artifactId>jetty-server</artifactId>
<version>8.1.14.v20131031</version>
<scope>compile</scope>
</dependency>
<dependency>
<groupId>org.jblas</groupId>
<artifactId>jblas</artifactId>
<version>1.2.3</version>
<scope>compile</scope>
</dependency>
<dependency>
<groupId>org.scalanlp</groupId>
<artifactId>breeze_2.10</artifactId>
<version>0.10</version>
<scope>compile</scope>
<exclusions>
<exclusion>
<artifactId>junit</artifactId>
<groupId>junit</groupId>
</exclusion>
<exclusion>
<artifactId>commons-math3</artifactId>
<groupId>org.apache.commons</groupId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>org.apache.commons</groupId>
<artifactId>commons-math3</artifactId>
<version>3.1.1</version>
<scope>compile</scope>
</dependency>
<dependency>
<groupId>org.scalatest</groupId>
<artifactId>scalatest_2.10</artifactId>
<version>2.2.1</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.scalacheck</groupId>
<artifactId>scalacheck_2.10</artifactId>
<version>1.11.3</version>
<scope>test</scope>
<exclusions>
<exclusion>
<artifactId>test-interface</artifactId>
<groupId>org.scala-sbt</groupId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>4.10</version>
<scope>test</scope>
<exclusions>
<exclusion>
<artifactId>hamcrest-core</artifactId>
<groupId>org.hamcrest</groupId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>com.novocode</groupId>
<artifactId>junit-interface</artifactId>
<version>0.10</version>
<scope>test</scope>
<exclusions>
<exclusion>
<artifactId>junit-dep</artifactId>
<groupId>junit</groupId>
</exclusion>
<exclusion>
<artifactId>test-interface</artifactId>
<groupId>org.scala-tools.testing</groupId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>org.mockito</groupId>
<artifactId>mockito-all</artifactId>
<version>1.9.0</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming_2.10</artifactId>
<version>1.2.0</version>
<type>test-jar</type>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.codehaus.groovy</groupId>
<artifactId>groovy-all</artifactId>
<version>2.3.7</version>
<scope>provided</scope>
</dependency>
</dependencies>
<properties>
<sbt.project.name>mllib</sbt.project.name>
</properties>
</project>
<dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-mllib_2.10</artifactId> <version>1.2.0</version> </dependency>
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Download spark-mllib_2.10-1.2.0.jar file