Class | Description |
---|---|
AMax |
Calculate the absolute max over a vector
|
AMean |
Calculate the absolute mean of the given vector
|
AMin |
Calculate the absolute minimum over a vector
|
ASum |
Absolute sum the components
|
Bias |
Calculate a bias
|
Dot |
Dot product
|
Entropy |
Entropy Op - returns the entropy (information gain, or uncertainty of a random variable).
|
EqualsWithEps |
Operation for fast INDArrays equality checks
|
LogEntropy |
Log Entropy Op - returns the entropy (information gain, or uncertainty of a random variable).
|
MatchCondition |
Absolute sum the components
|
Max |
Calculate the max over a vector
|
Mean |
Calculate the mean of the vector
|
Min |
Calculate the min over a vector
|
Mmul |
Dot product
|
Norm1 |
Sum of absolute values
|
Norm2 |
Sum of squared values (real)
Sum of squared complex modulus (complex)
|
NormMax |
The max absolute value
|
Prod |
Prod the components
|
ShannonEntropy |
Non-normalized Shannon Entropy Op - returns the entropy (information gain, or uncertainty of a random variable).
|
StandardDeviation |
Standard deviation (sqrt of variance)
|
Sum |
Sum the components
|
TensorMmul |
Dot product
|
Variance |
Variance with bias correction.
|
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