Name | Description | Type | Package | Framework |
BinarySample | Class that represents the group and value of a sample. | Class | org.apache.spark.mllib.stat.test | Apache Spark |
ChiSqTestResult | Object containing the test results for the chi-squared hypothesis test. | Class | org.apache.spark.mllib.stat.test | Apache Spark |
KernelDensity | Kernel density estimation. | Class | org.apache.spark.mllib.stat | Apache Spark |
KolmogorovSmirnovTestResult | Object containing the test results for the Kolmogorov-Smirnov test. | Class | org.apache.spark.mllib.stat.test | Apache Spark |
MultivariateGaussian | This class provides basic functionality for a Multivariate Gaussian (Normal) Distribution. | Class | org.apache.spark.mllib.stat.distribution | Apache Spark |
MultivariateOnlineSummarizer | MultivariateOnlineSummarizer implements MultivariateStatisticalSummary to compute the mean, variance, minimum, maximum, counts, and nonzero counts for instances in sparse or dense vector | Class | org.apache.spark.mllib.stat | Apache Spark |
MultivariateStatisticalSummary | Trait for multivariate statistical summary of a data matrix. | Interface | org.apache.spark.mllib.stat | Apache Spark |
Statistics | Class | org.apache.spark.mllib.stat | Apache Spark | |
StreamingTest | Class | org.apache.spark.mllib.stat.test | Apache Spark | |
TestResult | Trait for hypothesis test results. | Interface | org.apache.spark.mllib.stat.test | Apache Spark |