Package org.nd4j.linalg.api.ops.impl.accum

Class Summary

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.