stat

Type Members

1. class MultivariateOnlineSummarizer extends MultivariateStatisticalSummary with Serializable

   

   :: DeveloperApi :: MultivariateOnlineSummarizer implements MultivariateStatisticalSummary to compute the mean, variance, minimum, maximum, counts, and nonzero counts for samples in sparse or dense vector format in a online fashion.

   :: DeveloperApi :: MultivariateOnlineSummarizer implements MultivariateStatisticalSummary to compute the mean, variance, minimum, maximum, counts, and nonzero counts for samples in sparse or dense vector format in a online fashion.

   Two MultivariateOnlineSummarizer can be merged together to have a statistical summary of the corresponding joint dataset.

   A numerically stable algorithm is implemented to compute sample mean and variance: Reference: variance-wiki Zero elements (including explicit zero values) are skipped when calling add(), to have time complexity O(nnz) instead of O(n) for each column.

   Annotations

   @DeveloperApi()

2. trait MultivariateStatisticalSummary extends AnyRef

   

   Trait for multivariate statistical summary of a data matrix.