Uses of Interface
org.nd4j.linalg.api.ops.ReduceFloatOp

Packages that use ReduceFloatOp

Package	Description
org.nd4j.linalg.api.ops
org.nd4j.linalg.api.ops.impl.reduce.floating
org.nd4j.linalg.api.ops.impl.reduce3

Uses of ReduceFloatOp in org.nd4j.linalg.api.ops

Classes in org.nd4j.linalg.api.ops that implement ReduceFloatOp

Modifier and Type	Class and Description
class	BaseReduceFloatOp

Uses of ReduceFloatOp in org.nd4j.linalg.api.ops.impl.reduce.floating

Classes in org.nd4j.linalg.api.ops.impl.reduce.floating that implement ReduceFloatOp

Modifier and Type	Class and Description
class	AMean Calculate the absolute mean of the given vector
class	Bias Calculate a bias
class	Entropy Entropy Op - returns the entropy (information gain, or uncertainty of a random variable).
class	LogEntropy Log Entropy Op - returns the log entropy (information gain, or uncertainty of a random variable).
class	Mean Calculate the mean of the vector
class	Norm1 Sum of absolute values
class	Norm2 Sum of squared values (real) Sum of squared complex modulus (complex)
class	NormMax The max absolute value
class	ShannonEntropy Non-normalized Shannon Entropy Op - returns the entropy (information gain, or uncertainty of a random variable).
class	SquaredNorm Squared norm (sum_i x_i^2) reduction operation

Uses of ReduceFloatOp in org.nd4j.linalg.api.ops.impl.reduce3

Classes in org.nd4j.linalg.api.ops.impl.reduce3 that implement ReduceFloatOp

Modifier and Type	Class and Description
class	BaseReduce3Op Manhattan distance
class	CosineDistance Cosine distance Note that you need to initialize a scaling constant equal to the norm2 of the vector
class	CosineSimilarity Cosine similarity Note that you need to initialize a scaling constant equal to the norm2 of the vector
class	Dot Dot product.
class	EqualsWithEps Operation for fast INDArrays equality checks
class	EuclideanDistance Euclidean distance
class	HammingDistance Hamming distance (simple)
class	JaccardDistance Jaccard distance (dissimilarity)
class	ManhattanDistance Manhattan distance