trait MultivariateStatisticalSummary extends AnyRef
Trait for multivariate statistical summary of a data matrix.
- Annotations
- @Since( "1.0.0" )
- Source
- MultivariateStatisticalSummary.scala
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abstract
def
count: Long
Sample size.
Sample size.
- Annotations
- @Since( "1.0.0" )
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abstract
def
max: Vector
Maximum value of each column.
Maximum value of each column.
- Annotations
- @Since( "1.0.0" )
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abstract
def
mean: Vector
Sample mean vector.
Sample mean vector.
- Annotations
- @Since( "1.0.0" )
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abstract
def
min: Vector
Minimum value of each column.
Minimum value of each column.
- Annotations
- @Since( "1.0.0" )
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abstract
def
normL1: Vector
L1 norm of each column
L1 norm of each column
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- @Since( "1.2.0" )
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abstract
def
normL2: Vector
Euclidean magnitude of each column
Euclidean magnitude of each column
- Annotations
- @Since( "1.2.0" )
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abstract
def
numNonzeros: Vector
Number of nonzero elements (including explicitly presented zero values) in each column.
Number of nonzero elements (including explicitly presented zero values) in each column.
- Annotations
- @Since( "1.0.0" )
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abstract
def
variance: Vector
Sample variance vector.
Sample variance vector. Should return a zero vector if the sample size is 1.
- Annotations
- @Since( "1.0.0" )
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abstract
def
weightSum: Double
Sum of weights.
Sum of weights.
- Annotations
- @Since( "3.0.0" )