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spark-mllib_2.10-0.9.1.jar
标签:spark-mllib_2.10-0.9.1.jar,spark,mllib_2.10,0.9.1,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
PythonMLLibAPI$$anonfun$1.java
PythonMLLibAPI$$anonfun$2.java
PythonMLLibAPI$$anonfun$3.java
PythonMLLibAPI$$anonfun$4.java
PythonMLLibAPI$$anonfun$5.java
PythonMLLibAPI$$anonfun$deserializeDoubleMatrix$1.java
PythonMLLibAPI$$anonfun$serializeDoubleMatrix$1.java
PythonMLLibAPI$$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$$anonfun$1$$anonfun$2.java
NaiveBayes$$anonfun$1.java
NaiveBayes$$anonfun$3$$anonfun$apply$2.java
NaiveBayes$$anonfun$3$$anonfun$apply$3$$anonfun$4.java
NaiveBayes$$anonfun$3$$anonfun$apply$3.java
NaiveBayes$$anonfun$3.java
NaiveBayes$$anonfun$5.java
NaiveBayes$$anonfun$main$1.java
NaiveBayes$$anonfun$run$1.java
NaiveBayes$$anonfun$run$2$$anonfun$apply$1.java
NaiveBayes$$anonfun$run$2.java
NaiveBayes.java
NaiveBayesModel$$anonfun$predict$1.java
NaiveBayesModel.java
SVMModel.java
SVMWithSGD.java
clustering
KMeans$$anonfun$1.java
KMeans$$anonfun$12.java
KMeans$$anonfun$13.java
KMeans$$anonfun$17.java
KMeans$$anonfun$18$$anonfun$apply$11.java
KMeans$$anonfun$18.java
KMeans$$anonfun$19$$anonfun$6$$anonfun$apply$mcDI$sp$1.java
KMeans$$anonfun$19$$anonfun$6.java
KMeans$$anonfun$19.java
KMeans$$anonfun$2.java
KMeans$$anonfun$20$$anonfun$apply$12.java
KMeans$$anonfun$20.java
KMeans$$anonfun$5.java
KMeans$$anonfun$7.java
KMeans$$anonfun$8.java
KMeans$$anonfun$9$$anonfun$10.java
KMeans$$anonfun$9$$anonfun$11$$anonfun$apply$6.java
KMeans$$anonfun$9$$anonfun$11.java
KMeans$$anonfun$9$$anonfun$3.java
KMeans$$anonfun$9$$anonfun$apply$3$$anonfun$apply$4.java
KMeans$$anonfun$9$$anonfun$apply$3$$anonfun$apply$5.java
KMeans$$anonfun$9$$anonfun$apply$3.java
KMeans$$anonfun$9.java
KMeans$$anonfun$findClosest$1.java
KMeans$$anonfun$initKMeansParallel$1$$anonfun$14.java
KMeans$$anonfun$initKMeansParallel$1$$anonfun$15$$anonfun$apply$8.java
KMeans$$anonfun$initKMeansParallel$1$$anonfun$15.java
KMeans$$anonfun$initKMeansParallel$1$$anonfun$16$$anonfun$apply$9$$anonfun$apply$10.java
KMeans$$anonfun$initKMeansParallel$1$$anonfun$16$$anonfun$apply$9$$anonfun$apply$2.java
KMeans$$anonfun$initKMeansParallel$1$$anonfun$16$$anonfun$apply$9.java
KMeans$$anonfun$initKMeansParallel$1$$anonfun$16.java
KMeans$$anonfun$initKMeansParallel$1$$anonfun$4.java
KMeans$$anonfun$initKMeansParallel$1$$anonfun$apply$mcVI$sp$1.java
KMeans$$anonfun$initKMeansParallel$1$$anonfun$apply$mcVI$sp$2.java
KMeans$$anonfun$initKMeansParallel$1.java
KMeans$$anonfun$initRandom$1.java
KMeans$$anonfun$main$1.java
KMeans$$anonfun$pointCost$1.java
KMeans$$anonfun$run$1.java
KMeans$$anonfun$run$2.java
KMeans$$anonfun$run$3$$anonfun$apply$1.java
KMeans$$anonfun$run$3$$anonfun$apply$7.java
KMeans$$anonfun$run$3.java
KMeans.java
KMeansModel$$anonfun$computeCost$1.java
KMeansModel.java
LocalKMeans$$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$$anonfun$kMeansPlusPlus$3.java
LocalKMeans$$anonfun$kMeansPlusPlus$4.java
LocalKMeans.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$$anonfun$compute$1.java
L1Updater.java
LogisticGradient.java
Optimizer.java
SimpleUpdater.java
SquaredGradient.java
SquaredL2Updater.java
Updater.java
recommendation
ALS$$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$$anonfun$17.java
ALS$$anonfun$18.java
ALS$$anonfun$19.java
ALS$$anonfun$2.java
ALS$$anonfun$20.java
ALS$$anonfun$21.java
ALS$$anonfun$3.java
ALS$$anonfun$4.java
ALS$$anonfun$5$$anonfun$apply$3$$anonfun$apply$4.java
ALS$$anonfun$5$$anonfun$apply$3.java
ALS$$anonfun$5.java
ALS$$anonfun$6$$anonfun$apply$5$$anonfun$apply$6.java
ALS$$anonfun$6$$anonfun$apply$5.java
ALS$$anonfun$6.java
ALS$$anonfun$7$$anonfun$apply$7.java
ALS$$anonfun$7.java
ALS$$anonfun$8.java
ALS$$anonfun$9.java
ALS$$anonfun$main$1.java
ALS$$anonfun$main$2.java
ALS$$anonfun$makeLinkRDDs$1.java
ALS$$anonfun$makeLinkRDDs$2.java
ALS$$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$4$$anonfun$apply$10.java
ALS$$anonfun$org$apache$spark$mllib$recommendation$ALS$$makeInLinkBlock$1$$anonfun$apply$mcVI$sp$4$$anonfun$apply$9.java
ALS$$anonfun$org$apache$spark$mllib$recommendation$ALS$$makeInLinkBlock$1$$anonfun$apply$mcVI$sp$4.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$$anonfun$org$apache$spark$mllib$recommendation$ALS$$updateFeatures$1$$anonfun$16.java
ALS$$anonfun$org$apache$spark$mllib$recommendation$ALS$$updateFeatures$1$$anonfun$apply$1$$anonfun$apply$mcVI$sp$5.java
ALS$$anonfun$org$apache$spark$mllib$recommendation$ALS$$updateFeatures$1$$anonfun$apply$1.java
ALS$$anonfun$org$apache$spark$mllib$recommendation$ALS$$updateFeatures$1$$anonfun$apply$11.java
ALS$$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$$anonfun$apply$mcVI$sp$2.java
ALS$$anonfun$run$1$$anonfun$apply$mcVI$sp$3.java
ALS$$anonfun$run$1.java
ALS$$anonfun$unblockFactors$1$$anonfun$apply$8.java
ALS$$anonfun$unblockFactors$1.java
ALS$$anonfun$updateBlock$1$$anonfun$apply$mcVI$sp$1$$anonfun$apply$mcVI$sp$6.java
ALS$$anonfun$updateBlock$1$$anonfun$apply$mcVI$sp$1.java
ALS$$anonfun$updateBlock$1.java
ALS$$anonfun$updateBlock$2$$anonfun$apply$2.java
ALS$$anonfun$updateBlock$2.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$$anonfun$run$1.java
GeneralizedLinearAlgorithm$$anonfun$run$2.java
GeneralizedLinearAlgorithm$$anonfun$run$3.java
GeneralizedLinearAlgorithm.java
GeneralizedLinearModel$$anonfun$predict$1.java
GeneralizedLinearModel.java
LabeledPoint.java
LassoModel.java
LassoWithSGD$$anonfun$1.java
LassoWithSGD.java
LinearRegressionModel.java
LinearRegressionWithSGD.java
RegressionModel.java
RidgeRegressionModel.java
RidgeRegressionWithSGD$$anonfun$1.java
RidgeRegressionWithSGD.java
util
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
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$3.java
MLUtils$$anonfun$4.java
MLUtils$$anonfun$5$$anonfun$apply$1.java
MLUtils$$anonfun$5.java
MLUtils$$anonfun$6.java
MLUtils$$anonfun$loadLabeledData$1$$anonfun$2.java
MLUtils$$anonfun$loadLabeledData$1.java
MLUtils.java
SVMDataGenerator$$anonfun$1.java
SVMDataGenerator$$anonfun$3$$anonfun$2.java
SVMDataGenerator$$anonfun$3.java
SVMDataGenerator.java