org.apache.spark.mllib.stat
Interface MultivariateStatisticalSummary

All Known Implementing Classes:

MultivariateOnlineSummarizer

public interface MultivariateStatisticalSummary

Trait for multivariate statistical summary of a data matrix.

Method Summary

long	count() Sample size.
Vector	max() Maximum value of each column.
Vector	mean() Sample mean vector.
Vector	min() Minimum value of each column.
Vector	normL1() L1 norm of each column
Vector	normL2() Euclidean magnitude of each column
Vector	numNonzeros() Number of nonzero elements (including explicitly presented zero values) in each column.
Vector	variance() Sample variance vector.

Method Detail

mean

Vector mean()

Sample mean vector.

Returns:

(undocumented)

variance

Vector variance()

Sample variance vector. Should return a zero vector if the sample size is 1.

Returns:

(undocumented)

count

long count()

Sample size.

Returns:

(undocumented)

numNonzeros

Vector numNonzeros()

Number of nonzero elements (including explicitly presented zero values) in each column.

Returns:

(undocumented)

max

Vector max()

Maximum value of each column.

Returns:

(undocumented)

min

Vector min()

Minimum value of each column.

Returns:

(undocumented)

normL2

Vector normL2()

Euclidean magnitude of each column

Returns:

(undocumented)

normL1

Vector normL1()

L1 norm of each column

Returns:

(undocumented)