LogCoshError
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A metric that computes the logarithm of the hyperbolic cosine of the prediction error metric
between labels and predictions.
Public Constructors
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LogCoshError(Ops tf, String name, long seed, Class<T> type)
Creates a LogCoshError metric
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Inherited Methods
From class
java.lang.Object
boolean
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equals(Object arg0)
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final
Class<?>
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getClass()
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int
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hashCode()
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final
void
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notify()
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final
void
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notifyAll()
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String
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toString()
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final
void
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wait(long arg0, int arg1)
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final
void
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wait(long arg0)
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final
void
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wait()
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Public Constructors
public
LogCoshError
(Ops tf, String name, long seed, Class<T> type)
Creates a LogCoshError metric
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
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Public Methods
Calculates the weighted loss between labels
and predictions
Parameters
labels |
the truth values or labels |
predictions |
the predictions |
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Last updated 2021-11-29 UTC.
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