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

Modifier and Type	Method and Description
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.
double	weightSum() Sum of weights.

Method Detail

count

long count()

Sample size.

Returns:

(undocumented)

max

Vector max()

Maximum value of each column.

Returns:

(undocumented)

mean

Vector mean()

Sample mean vector.

Returns:

(undocumented)

min

Vector min()

Minimum value of each column.

Returns:

(undocumented)

normL1

Vector normL1()

L1 norm of each column

Returns:

(undocumented)

normL2

Vector normL2()

Euclidean magnitude of each column

Returns:

(undocumented)

numNonzeros

Vector numNonzeros()

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

Returns:

(undocumented)

variance

Vector variance()

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

Returns:

(undocumented)

weightSum

double weightSum()

Sum of weights.

Returns:

(undocumented)