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.
Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
Inherited Methods
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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abstract ExecutionEnvironment |
env()
Return the execution environment this op was created in.
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abstract Operation |
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Public Methods
public Output<TFloat32> asOutput ()
Returns the symbolic handle of the 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<TInt32>> 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