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.
Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
Output<TBool> |
asOutput()
Returns the symbolic handle of the tensor.
|
Output<TBool> |
continueCentering()
Bool, whether to continue bias centering.
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static BoostedTreesCenterBias |
Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Public Methods
public Output<TBool> 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 BoostedTreesCenterBias create (Scope scope, Operand<?> treeEnsembleHandle, Operand<TFloat32> meanGradients, Operand<TFloat32> meanHessians, Operand<TFloat32> l1, Operand<TFloat32> l2)
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