public class
MeanAbsoluteError
A metric that computes the mean of absolute difference between labels and predictions.
Inherited Constants
Public Constructors
MeanAbsoluteError(Ops tf, String name, long seed, Class<T> type)
Creates a Mean Absolute Error metric
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Public Methods
Inherited Methods
LossMetric<T> |
getLoss()
Gets the loss function.
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List<Op> |
updateStateList(Operand<? extends TNumber> labels, Operand<? extends TNumber> predictions, Operand<? extends TNumber> sampleWeights)
Creates Operations that update the state of the mean metric, by calling the loss function and
passing the loss to the Mean metric to calculate the weighted mean of the loss over many
iterations.
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Variable<T> |
getCount()
Gets the count variable
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Class<T> |
getResultType()
Gets the type for the variables
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Variable<T> |
getTotal()
Gets the total variable
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Op |
resetStates()
Resets any state variables to their initial values
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Operand<T> |
result()
Gets the current result of the metric
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List<Op> |
updateStateList(Operand<? extends TNumber> values, Operand<? extends TNumber> sampleWeights)
Updates the metric variables based on the inputs.
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final Operand<T> | |
String |
getName()
Gets the name of this metric.
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long |
getSeed()
Gets the random number generator seed value
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Ops |
getTF()
Gets the TensorFlow Ops
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abstract Op |
resetStates()
Resets any state variables to their initial values
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abstract Operand<T> |
result()
Gets the current result of the metric
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final Op | |
final Op |
updateState(Operand<? extends TNumber> values, Operand<? extends TNumber> sampleWeights)
Creates a NoOp Operation with control dependencies to update the metric state
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List<Op> | |
List<Op> |
updateStateList(Operand<? extends TNumber> values, Operand<? extends TNumber> sampleWeights)
Creates a List of Operations to update the metric state based on input values.
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boolean |
equals(Object arg0)
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final Class<?> |
getClass()
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int |
hashCode()
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final void |
notify()
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final void |
notifyAll()
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String |
toString()
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final void |
wait(long arg0, int arg1)
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final void |
wait(long arg0)
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final void |
wait()
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Public Constructors
public MeanAbsoluteError (Ops tf, String name, long seed, Class<T> type)
Creates a Mean Absolute Error metric
Parameters
tf | the TensorFlow Ops |
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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 |