| Interface | Description |
|---|---|
| MultivariateStatisticalSummary |
Trait for multivariate statistical summary of a data matrix.
|
| Class | Description |
|---|---|
| KernelDensity |
Kernel density estimation.
|
| MultivariateOnlineSummarizer |
MultivariateOnlineSummarizer implements
MultivariateStatisticalSummary to compute the mean,
variance, minimum, maximum, counts, and nonzero counts for instances in sparse or dense vector
format in an online fashion. |
| Statistics |
API for statistical functions in MLlib.
|