Debugging/model interpretability outputs for each example.
It traverses all the trees and computes debug metrics for individual examples, such as getting split feature ids and logits after each split along the decision path used to compute directional feature contributions.
Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
Output<TString> |
asOutput()
Returns the symbolic handle of the tensor.
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static BoostedTreesExampleDebugOutputs | |
Output<TString> |
examplesDebugOutputsSerialized()
Output rank 1 Tensor containing a proto serialized as a string for each example.
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Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Public Methods
public Output<TString> 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 BoostedTreesExampleDebugOutputs create (Scope scope, Operand<?> treeEnsembleHandle, Iterable<Operand<TInt32>> bucketizedFeatures, Long logitsDimension)
Factory method to create a class wrapping a new BoostedTreesExampleDebugOutputs operation.
Parameters
scope | current scope |
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bucketizedFeatures | A list of rank 1 Tensors containing bucket id for each feature. |
logitsDimension | scalar, dimension of the logits, to be used for constructing the protos in examples_debug_outputs_serialized. |
Returns
- a new instance of BoostedTreesExampleDebugOutputs