BoostedTreesPredict
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Runs multiple additive regression ensemble predictors on input instances and
computes the logits. It is designed to be used during prediction.
It traverses all the trees and calculates the final score for each instance.
Public Methods
Output<Float>
|
asOutput()
Returns the symbolic handle of a tensor.
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static
BoostedTreesPredict
|
create( Scope scope, Operand<?> treeEnsembleHandle, Iterable< Operand<Integer>> bucketizedFeatures, Long logitsDimension)
Factory method to create a class wrapping a new BoostedTreesPredict operation.
|
Output<Float>
|
logits()
Output rank 2 Tensor containing logits for each example.
|
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()
|
int
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hashCode()
|
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<Float>
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
static
BoostedTreesPredict
create
(Scope scope, Operand<?> treeEnsembleHandle, Iterable<Operand<Integer>> bucketizedFeatures, Long logitsDimension)
Factory method to create a class wrapping a new BoostedTreesPredict operation.
Parameters
scope |
current scope |
bucketizedFeatures |
A list of rank 1 Tensors containing bucket id for each
feature. |
logitsDimension |
scalar, dimension of the logits, to be used for partial logits
shape. |
Returns
- a new instance of BoostedTreesPredict
public
Output<Float>
logits
()
Output rank 2 Tensor containing logits for each example.
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Last updated 2022-09-07 UTC.
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