Warning: This API is deprecated and will be removed in a future
version of TensorFlow after
the replacement is stable.
BoostedTreesCenterBias
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Calculates the prior from the training data (the bias) and fills in the first node with the logits' prior. Returns a boolean indicating whether to continue centering.
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 Methods
public
Output<Boolean>
asOutput
()
Returns the symbolic handle of a tensor.
Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is
used to obtain a symbolic handle that represents the computation of the input.
public
Output<Boolean>
continueCentering
()
Bool, whether to continue bias centering.
Factory method to create a class wrapping a new BoostedTreesCenterBias operation.
Parameters
scope |
current scope |
treeEnsembleHandle |
Handle to the tree ensemble. |
meanGradients |
A tensor with shape=[logits_dimension] with mean of gradients for a first node. |
meanHessians |
A tensor with shape=[logits_dimension] mean of hessians for a first node. |
l1 |
l1 regularization factor on leaf weights, per instance based. |
l2 |
l2 regularization factor on leaf weights, per instance based. |
Returns
- a new instance of BoostedTreesCenterBias
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Last updated 2022-02-12 UTC.
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