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#Org.apache.spark.mllib.stat Classes and Interfaces - 10 results found.
NameDescriptionTypePackageFramework
BinarySampleClass that represents the group and value of a sample.Classorg.apache.spark.mllib.stat.testApache Spark
ChiSqTestResultObject containing the test results for the chi-squared hypothesis test.Classorg.apache.spark.mllib.stat.testApache Spark
KernelDensityKernel density estimation.Classorg.apache.spark.mllib.statApache Spark
KolmogorovSmirnovTestResult Object containing the test results for the Kolmogorov-Smirnov test.Classorg.apache.spark.mllib.stat.testApache Spark
MultivariateGaussian This class provides basic functionality for a Multivariate Gaussian (Normal) Distribution.Classorg.apache.spark.mllib.stat.distributionApache Spark
MultivariateOnlineSummarizer MultivariateOnlineSummarizer implements MultivariateStatisticalSummary to compute the mean, variance, minimum, maximum, counts, and nonzero counts for instances in sparse or dense vectorClassorg.apache.spark.mllib.statApache Spark
MultivariateStatisticalSummaryTrait for multivariate statistical summary of a data matrix.Interfaceorg.apache.spark.mllib.statApache Spark
StatisticsClassorg.apache.spark.mllib.statApache Spark
StreamingTestClassorg.apache.spark.mllib.stat.testApache Spark
TestResultTrait for hypothesis test results.Interfaceorg.apache.spark.mllib.stat.testApache Spark