public class
CosineSimilarity
A metric that computes the cosine similarity metric between labels and predictions.
Constants
int | DEFAULT_AXIS |
Inherited Constants
Public Constructors
CosineSimilarity(Ops tf, String name, long seed, Class<T> type)
Creates a metric that computes the cosine similarity metric between labels and predictions with
a default axis,
DEFAULT_AXIS |
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CosineSimilarity(Ops tf, String name, int axis, long seed, Class<T> type)
Creates a metric that computes the cosine similarity metric between labels and predictions.
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CosineSimilarity(Ops tf, String name, int[] axis, long seed, Class<T> type)
Creates a CosineSimilarity metric
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Public Methods
Operand<T> |
Inherited Methods
Constants
public static final int DEFAULT_AXIS
Constant Value:
-1
Public Constructors
public CosineSimilarity (Ops tf, String name, long seed, Class<T> type)
Creates a metric that computes the cosine similarity metric between labels and predictions with
a default axis, DEFAULT_AXIS
Parameters
tf | the TensorFlow Ops |
---|---|
name | the name of this metric, if null then metric name is getSimpleName() . |
seed | the seed for random number generation. An initializer created with a given seed will always produce the same random tensor for a given shape and data type. |
type | the type for the variables and result |
public CosineSimilarity (Ops tf, String name, int axis, long seed, Class<T> type)
Creates a metric that computes the cosine similarity metric between labels and predictions.
Parameters
tf | the TensorFlow Ops |
---|---|
name | the name of this metric, if null then metric name is getSimpleName() . |
axis | The dimension along which the cosine similarity is computed. |
seed | the seed for random number generation. An initializer created with a given seed will always produce the same random tensor for a given shape and data type. |
type | the type for the variables and result |
public CosineSimilarity (Ops tf, String name, int[] axis, long seed, Class<T> type)
Creates a CosineSimilarity metric
Parameters
tf | the TensorFlow Ops |
---|---|
name | the name of this metric, if null then metric name is getSimpleName() . |
axis | The dimension along which the cosine similarity is computed. |
seed | the seed for random number generation. An initializer created with a given seed will always produce the same random tensor for a given shape and data type. |
type | the type for the variables and result |