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spark-mllib_2.10-1.0.0.jar
标签:spark-mllib_2.10-1.0.0.jar,spark,mllib_2.10,1.0.0,jar包下载,依赖包
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<2.6.8>
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META-INF
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LICENSE
MANIFEST.MF
maven
org.apache.spark
spark-mllib_2.10
pom.properties
pom.xml
NOTICE
org
apache
spark
mllib
api
python
package.java
PythonMLLibAPI$$anonfun$1.java
PythonMLLibAPI$$anonfun$2.java
PythonMLLibAPI$$anonfun$3.java
PythonMLLibAPI$$anonfun$4.java
PythonMLLibAPI$$anonfun$5.java
PythonMLLibAPI$$anonfun$deserializeDenseVector$1.java
PythonMLLibAPI$$anonfun$deserializeDenseVector$2.java
PythonMLLibAPI$$anonfun$deserializeDenseVector$3.java
PythonMLLibAPI$$anonfun$deserializeDoubleMatrix$1.java
PythonMLLibAPI$$anonfun$deserializeSparseVector$1.java
PythonMLLibAPI$$anonfun$deserializeSparseVector$2.java
PythonMLLibAPI$$anonfun$deserializeSparseVector$3.java
PythonMLLibAPI$$anonfun$org$apache$spark$mllib$api$python$PythonMLLibAPI$$deserializeDoubleVector$1.java
PythonMLLibAPI$$anonfun$org$apache$spark$mllib$api$python$PythonMLLibAPI$$deserializeLabeledPoint$1.java
PythonMLLibAPI$$anonfun$serializeDoubleMatrix$1.java
PythonMLLibAPI$$anonfun$trainKMeansModel$1.java
PythonMLLibAPI$$anonfun$trainLassoModelWithSGD$1.java
PythonMLLibAPI$$anonfun$trainLinearRegressionModelWithSGD$1.java
PythonMLLibAPI$$anonfun$trainLogisticRegressionModelWithSGD$1.java
PythonMLLibAPI$$anonfun$trainRidgeModelWithSGD$1.java
PythonMLLibAPI$$anonfun$trainSVMModelWithSGD$1.java
PythonMLLibAPI.java
classification
ClassificationModel.java
LogisticRegressionModel.java
LogisticRegressionWithSGD.java
NaiveBayes$$anonfun$1.java
NaiveBayes$$anonfun$2.java
NaiveBayes$$anonfun$3.java
NaiveBayes$$anonfun$4.java
NaiveBayes$$anonfun$5.java
NaiveBayes$$anonfun$run$1.java
NaiveBayes$$anonfun$run$2.java
NaiveBayes.java
NaiveBayesModel$$anonfun$predict$1.java
NaiveBayesModel.java
SVMModel.java
SVMWithSGD.java
clustering
BreezeVectorWithNorm.java
KMeans$$anonfun$1.java
KMeans$$anonfun$10.java
KMeans$$anonfun$11.java
KMeans$$anonfun$12$$anonfun$13.java
KMeans$$anonfun$12$$anonfun$14$$anonfun$apply$4.java
KMeans$$anonfun$12$$anonfun$14.java
KMeans$$anonfun$12$$anonfun$3.java
KMeans$$anonfun$12$$anonfun$apply$3$$anonfun$apply$1.java
KMeans$$anonfun$12$$anonfun$apply$3.java
KMeans$$anonfun$12.java
KMeans$$anonfun$15.java
KMeans$$anonfun$16.java
KMeans$$anonfun$17$$anonfun$apply$7.java
KMeans$$anonfun$17.java
KMeans$$anonfun$18$$anonfun$apply$8$$anonfun$apply$2.java
KMeans$$anonfun$18$$anonfun$apply$8$$anonfun$apply$9.java
KMeans$$anonfun$18$$anonfun$apply$8.java
KMeans$$anonfun$18.java
KMeans$$anonfun$19$$anonfun$apply$10.java
KMeans$$anonfun$19.java
KMeans$$anonfun$2.java
KMeans$$anonfun$20$$anonfun$6$$anonfun$apply$mcDI$sp$1.java
KMeans$$anonfun$20$$anonfun$6.java
KMeans$$anonfun$20.java
KMeans$$anonfun$4.java
KMeans$$anonfun$5.java
KMeans$$anonfun$7.java
KMeans$$anonfun$8.java
KMeans$$anonfun$9.java
KMeans$$anonfun$findClosest$1.java
KMeans$$anonfun$initKMeansParallel$1.java
KMeans$$anonfun$initRandom$1$$anonfun$apply$6.java
KMeans$$anonfun$initRandom$1.java
KMeans$$anonfun$runBreeze$1.java
KMeans$$anonfun$runBreeze$2.java
KMeans$$anonfun$runBreeze$3.java
KMeans$$anonfun$runBreeze$4$$anonfun$apply$5.java
KMeans$$anonfun$runBreeze$4.java
KMeans$$anonfun$runBreeze$5.java
KMeans$$anonfun$runBreeze$6.java
KMeans$$anonfun$runBreeze$7.java
KMeans$$anonfun$runBreeze$8.java
KMeans$$anonfun$runBreeze$9.java
KMeans.java
KMeansModel$$anonfun$clusterCentersWithNorm$1.java
KMeansModel$$anonfun$computeCost$1.java
KMeansModel$$anonfun$predict$1.java
KMeansModel.java
LocalKMeans$$anonfun$1.java
LocalKMeans$$anonfun$2.java
LocalKMeans$$anonfun$4.java
LocalKMeans$$anonfun$kMeansPlusPlus$1$$anonfun$3.java
LocalKMeans$$anonfun$kMeansPlusPlus$1.java
LocalKMeans$$anonfun$kMeansPlusPlus$2.java
LocalKMeans$$anonfun$kMeansPlusPlus$3.java
LocalKMeans.java
evaluation
AreaUnderCurve$$anonfun$of$1.java
AreaUnderCurve$$anonfun$of$2.java
AreaUnderCurve$$anonfun$of$3.java
AreaUnderCurve$$anonfun$of$4.java
AreaUnderCurve.java
binary
BinaryClassificationMetricComputer.java
BinaryConfusionMatrix.java
BinaryConfusionMatrixImpl.java
BinaryLabelCounter.java
FalsePositiveRate.java
FMeasure.java
Precision.java
Recall.java
BinaryClassificationMetrics$$anonfun$1.java
BinaryClassificationMetrics$$anonfun$2.java
BinaryClassificationMetrics$$anonfun$3.java
BinaryClassificationMetrics$$anonfun$4$$anonfun$apply$1.java
BinaryClassificationMetrics$$anonfun$4.java
BinaryClassificationMetrics$$anonfun$5.java
BinaryClassificationMetrics$$anonfun$6.java
BinaryClassificationMetrics$$anonfun$7$$anonfun$apply$2.java
BinaryClassificationMetrics$$anonfun$7.java
BinaryClassificationMetrics$$anonfun$8.java
BinaryClassificationMetrics$$anonfun$createCurve$1.java
BinaryClassificationMetrics$$anonfun$createCurve$2.java
BinaryClassificationMetrics$$anonfun$thresholds$1.java
BinaryClassificationMetrics.java
linalg
DenseMatrix.java
DenseVector.java
distributed
ColumnStatisticsAggregator$$anonfun$1.java
ColumnStatisticsAggregator$$anonfun$2.java
ColumnStatisticsAggregator$$anonfun$add$1.java
ColumnStatisticsAggregator$$anonfun$merge$1.java
ColumnStatisticsAggregator.java
CoordinateMatrix$$anonfun$1.java
CoordinateMatrix$$anonfun$2.java
CoordinateMatrix$$anonfun$3.java
CoordinateMatrix$$anonfun$4.java
CoordinateMatrix$$anonfun$toBreeze$1.java
CoordinateMatrix.java
DistributedMatrix.java
IndexedRow.java
IndexedRowMatrix$$anonfun$1.java
IndexedRowMatrix$$anonfun$2.java
IndexedRowMatrix$$anonfun$3.java
IndexedRowMatrix$$anonfun$4.java
IndexedRowMatrix$$anonfun$numRows$1.java
IndexedRowMatrix$$anonfun$numRows$2.java
IndexedRowMatrix$$anonfun$toBreeze$1$$anonfun$apply$1.java
IndexedRowMatrix$$anonfun$toBreeze$1.java
IndexedRowMatrix$$anonfun$toRowMatrix$1.java
IndexedRowMatrix.java
MatrixEntry.java
RowMatrix$$anonfun$10$$anonfun$apply$1.java
RowMatrix$$anonfun$10.java
RowMatrix$$anonfun$3.java
RowMatrix$$anonfun$4.java
RowMatrix$$anonfun$5.java
RowMatrix$$anonfun$6.java
RowMatrix$$anonfun$7.java
RowMatrix$$anonfun$8.java
RowMatrix$$anonfun$9.java
RowMatrix$$anonfun$computeCovariance$1.java
RowMatrix$$anonfun$computePrincipalComponents$1.java
RowMatrix$$anonfun$computeSVD$1.java
RowMatrix$$anonfun$computeSVD$2.java
RowMatrix$$anonfun$multiply$1.java
RowMatrix$$anonfun$multiply$2.java
RowMatrix$$anonfun$toBreeze$1$$anonfun$apply$2.java
RowMatrix$$anonfun$toBreeze$1.java
RowMatrix$$anonfun$updateNumRows$1.java
RowMatrix.java
Matrices$$anonfun$fromBreeze$1.java
Matrices.java
Matrix.java
SingularValueDecomposition.java
SparseVector.java
Vector.java
Vectors$$anonfun$1.java
Vectors$$anonfun$sparse$1$$anonfun$apply$mcVI$sp$1.java
Vectors$$anonfun$sparse$1.java
Vectors$$anonfun$sparse$2.java
Vectors.java
optimization
Gradient.java
GradientDescent$$anonfun$runMiniBatchSGD$1$$anonfun$1.java
GradientDescent$$anonfun$runMiniBatchSGD$1$$anonfun$2.java
GradientDescent$$anonfun$runMiniBatchSGD$1.java
GradientDescent$$anonfun$runMiniBatchSGD$2.java
GradientDescent.java
HingeGradient.java
L1Updater.java
LBFGS$$anonfun$runLBFGS$1.java
LBFGS$CostFun$$anonfun$1.java
LBFGS$CostFun$$anonfun$2.java
LBFGS.java
LeastSquaresGradient.java
LogisticGradient.java
Optimizer.java
SimpleUpdater.java
SquaredL2Updater.java
Updater.java
package.java
rdd
RDDFunctions$$anonfun$sliding$1.java
RDDFunctions$$anonfun$sliding$2.java
RDDFunctions.java
SlidingRDD$$anonfun$1.java
SlidingRDD$$anonfun$2.java
SlidingRDD$$anonfun$3.java
SlidingRDD.java
SlidingRDDPartition.java
recommendation
ALS$$anon$2.java
ALS$$anonfun$1.java
ALS$$anonfun$10.java
ALS$$anonfun$11.java
ALS$$anonfun$12.java
ALS$$anonfun$14$$anonfun$15.java
ALS$$anonfun$14.java
ALS$$anonfun$16.java
ALS$$anonfun$17.java
ALS$$anonfun$19.java
ALS$$anonfun$2.java
ALS$$anonfun$20.java
ALS$$anonfun$21.java
ALS$$anonfun$22.java
ALS$$anonfun$3.java
ALS$$anonfun$4.java
ALS$$anonfun$5$$anonfun$apply$2$$anonfun$apply$3.java
ALS$$anonfun$5$$anonfun$apply$2.java
ALS$$anonfun$5.java
ALS$$anonfun$6$$anonfun$apply$4$$anonfun$apply$5.java
ALS$$anonfun$6$$anonfun$apply$4.java
ALS$$anonfun$6.java
ALS$$anonfun$7$$anonfun$apply$8.java
ALS$$anonfun$7.java
ALS$$anonfun$8.java
ALS$$anonfun$9.java
ALS$$anonfun$org$apache$spark$mllib$recommendation$ALS$$makeInLinkBlock$1$$anon$1.java
ALS$$anonfun$org$apache$spark$mllib$recommendation$ALS$$makeInLinkBlock$1$$anonfun$13.java
ALS$$anonfun$org$apache$spark$mllib$recommendation$ALS$$makeInLinkBlock$1$$anonfun$apply$mcVI$sp$3$$anonfun$apply$10.java
ALS$$anonfun$org$apache$spark$mllib$recommendation$ALS$$makeInLinkBlock$1$$anonfun$apply$mcVI$sp$3$$anonfun$apply$11.java
ALS$$anonfun$org$apache$spark$mllib$recommendation$ALS$$makeInLinkBlock$1$$anonfun$apply$mcVI$sp$3.java
ALS$$anonfun$org$apache$spark$mllib$recommendation$ALS$$makeInLinkBlock$1.java
ALS$$anonfun$org$apache$spark$mllib$recommendation$ALS$$makeInLinkBlock$2.java
ALS$$anonfun$org$apache$spark$mllib$recommendation$ALS$$makeOutLinkBlock$1.java
ALS$$anonfun$org$apache$spark$mllib$recommendation$ALS$$randomFactor$1.java
ALS$$anonfun$org$apache$spark$mllib$recommendation$ALS$$updateBlock$1.java
ALS$$anonfun$org$apache$spark$mllib$recommendation$ALS$$updateBlock$2.java
ALS$$anonfun$org$apache$spark$mllib$recommendation$ALS$$updateFeatures$1$$anonfun$18.java
ALS$$anonfun$org$apache$spark$mllib$recommendation$ALS$$updateFeatures$1$$anonfun$apply$1$$anonfun$apply$mcVI$sp$4.java
ALS$$anonfun$org$apache$spark$mllib$recommendation$ALS$$updateFeatures$1$$anonfun$apply$1.java
ALS$$anonfun$org$apache$spark$mllib$recommendation$ALS$$updateFeatures$1$$anonfun$apply$12.java
ALS$$anonfun$org$apache$spark$mllib$recommendation$ALS$$updateFeatures$1.java
ALS$$anonfun$org$apache$spark$mllib$recommendation$ALS$$updateFeatures$2.java
ALS$$anonfun$run$1$$anonfun$apply$mcVI$sp$1.java
ALS$$anonfun$run$1$$anonfun$apply$mcVI$sp$2.java
ALS$$anonfun$run$1.java
ALS$$anonfun$run$2$$anonfun$apply$6.java
ALS$$anonfun$run$2$$anonfun$apply$7.java
ALS$$anonfun$run$2.java
ALS$$anonfun$unblockFactors$1$$anonfun$apply$9.java
ALS$$anonfun$unblockFactors$1.java
ALS.java
InLinkBlock.java
MatrixFactorizationModel$$anonfun$1.java
MatrixFactorizationModel$$anonfun$2.java
MatrixFactorizationModel$$anonfun$predict$1.java
MatrixFactorizationModel$$anonfun$predict$2.java
MatrixFactorizationModel.java
OutLinkBlock.java
Rating.java
regression
GeneralizedLinearAlgorithm$$anonfun$1.java
GeneralizedLinearAlgorithm$$anonfun$2.java
GeneralizedLinearAlgorithm$$anonfun$run$1.java
GeneralizedLinearAlgorithm.java
GeneralizedLinearModel$$anonfun$predict$1.java
GeneralizedLinearModel.java
LabeledPoint.java
LassoModel.java
LassoWithSGD.java
LinearRegressionModel.java
LinearRegressionWithSGD.java
RegressionModel.java
RidgeRegressionModel.java
RidgeRegressionWithSGD.java
stat
MultivariateStatisticalSummary.java
tree
configuration
Algo.java
FeatureType.java
QuantileStrategy.java
Strategy.java
DecisionTree$$anonfun$1.java
DecisionTree$$anonfun$10$$anonfun$apply$3.java
DecisionTree$$anonfun$10$$anonfun$apply$4.java
DecisionTree$$anonfun$10.java
DecisionTree$$anonfun$11.java
DecisionTree$$anonfun$2.java
DecisionTree$$anonfun$3.java
DecisionTree$$anonfun$4.java
DecisionTree$$anonfun$5.java
DecisionTree$$anonfun$6.java
DecisionTree$$anonfun$7.java
DecisionTree$$anonfun$8.java
DecisionTree$$anonfun$9.java
DecisionTree$$anonfun$binsToBestSplit$1$1.java
DecisionTree$$anonfun$binsToBestSplit$1$2.java
DecisionTree$$anonfun$binsToBestSplit$1$3.java
DecisionTree$$anonfun$calculateGainsForAllNodeSplits$1$1$$anonfun$apply$mcVI$sp$1.java
DecisionTree$$anonfun$calculateGainsForAllNodeSplits$1$1.java
DecisionTree$$anonfun$findBestSplits$1.java
DecisionTree$$anonfun$findBestSplitsPerGroup$1.java
DecisionTree$$anonfun$findBestSplitsPerGroup$2.java
DecisionTree$$anonfun$findBestSplitsPerGroup$3.java
DecisionTree$$anonfun$findBestSplitsPerGroup$4.java
DecisionTree$$anonfun$findBestSplitsPerGroup$5.java
DecisionTree$$anonfun$findBestSplitsPerGroup$6.java
DecisionTree$$anonfun$findBestSplitsPerGroup$7.java
DecisionTree$$anonfun$findSplitsBins$1.java
DecisionTree$$anonfun$findSplitsBins$10.java
DecisionTree$$anonfun$findSplitsBins$2.java
DecisionTree$$anonfun$findSplitsBins$3.java
DecisionTree$$anonfun$findSplitsBins$4.java
DecisionTree$$anonfun$findSplitsBins$5.java
DecisionTree$$anonfun$findSplitsBins$6.java
DecisionTree$$anonfun$findSplitsBins$7.java
DecisionTree$$anonfun$findSplitsBins$8.java
DecisionTree$$anonfun$findSplitsBins$9.java
DecisionTree$$anonfun$isSampleValid$1$1.java
DecisionTree$$anonfun$org$apache$spark$mllib$tree$DecisionTree$$extractInfoForLowerLevels$1.java
DecisionTree$$anonfun$org$apache$spark$mllib$tree$DecisionTree$$extractInfoForLowerLevels$2$$anonfun$apply$2.java
DecisionTree$$anonfun$org$apache$spark$mllib$tree$DecisionTree$$extractInfoForLowerLevels$2.java
DecisionTree$$anonfun$org$apache$spark$mllib$tree$DecisionTree$$extractNodeInfo$1.java
DecisionTree$$anonfun$train$1.java
DecisionTree$$anonfun$train$10.java
DecisionTree$$anonfun$train$11$$anonfun$apply$1.java
DecisionTree$$anonfun$train$11.java
DecisionTree$$anonfun$train$12.java
DecisionTree$$anonfun$train$13.java
DecisionTree$$anonfun$train$14.java
DecisionTree$$anonfun$train$15.java
DecisionTree$$anonfun$train$2.java
DecisionTree$$anonfun$train$3.java
DecisionTree$$anonfun$train$4.java
DecisionTree$$anonfun$train$5.java
DecisionTree$$anonfun$train$6.java
DecisionTree$$anonfun$train$7.java
DecisionTree$$anonfun$train$8.java
DecisionTree$$anonfun$train$9.java
DecisionTree.java
impurity
Entropy.java
Gini.java
Impurity.java
Variance.java
model
Bin.java
DecisionTreeModel$$anonfun$predict$1.java
DecisionTreeModel.java
DummyCategoricalSplit.java
DummyHighSplit.java
DummyLowSplit.java
Filter.java
InformationGainStats.java
Node$$anonfun$build$1.java
Node$$anonfun$build$2.java
Node$$anonfun$build$3.java
Node$$anonfun$build$4.java
Node.java
Split.java
package.java
util
BinaryLabelParser.java
DataValidators$$anonfun$1$$anonfun$2.java
DataValidators$$anonfun$1$$anonfun$apply$1.java
DataValidators$$anonfun$1.java
DataValidators.java
KMeansDataGenerator$$anonfun$1$$anonfun$apply$1.java
KMeansDataGenerator$$anonfun$1.java
KMeansDataGenerator$$anonfun$generateKMeansRDD$1$$anonfun$apply$2.java
KMeansDataGenerator$$anonfun$generateKMeansRDD$1.java
KMeansDataGenerator$$anonfun$main$1.java
KMeansDataGenerator.java
LabelParser.java
LinearDataGenerator$$anonfun$1$$anonfun$apply$1.java
LinearDataGenerator$$anonfun$1.java
LinearDataGenerator$$anonfun$2.java
LinearDataGenerator$$anonfun$3.java
LinearDataGenerator$$anonfun$generateLinearInput$1.java
LinearDataGenerator.java
LogisticRegressionDataGenerator$$anonfun$2$$anonfun$1.java
LogisticRegressionDataGenerator$$anonfun$2.java
LogisticRegressionDataGenerator.java
MFDataGenerator$$anonfun$1.java
MFDataGenerator$$anonfun$2.java
MFDataGenerator$$anonfun$3.java
MFDataGenerator$$anonfun$4.java
MFDataGenerator$$anonfun$main$1.java
MFDataGenerator$$anonfun$main$2.java
MFDataGenerator$$anonfun$main$3.java
MFDataGenerator.java
MLUtils$$anonfun$1.java
MLUtils$$anonfun$10.java
MLUtils$$anonfun$2.java
MLUtils$$anonfun$3.java
MLUtils$$anonfun$4$$anonfun$5.java
MLUtils$$anonfun$4.java
MLUtils$$anonfun$6$$anonfun$apply$1.java
MLUtils$$anonfun$6.java
MLUtils$$anonfun$7$$anonfun$8.java
MLUtils$$anonfun$7$$anonfun$apply$2.java
MLUtils$$anonfun$7.java
MLUtils$$anonfun$kFold$1.java
MLUtils$$anonfun$loadLabeledData$1$$anonfun$9.java
MLUtils$$anonfun$loadLabeledData$1.java
MLUtils$$anonfun$loadLibSVMFile$1.java
MLUtils.java
MulticlassLabelParser.java
SVMDataGenerator$$anonfun$1.java
SVMDataGenerator$$anonfun$3$$anonfun$2.java
SVMDataGenerator$$anonfun$3.java
SVMDataGenerator.java