public final class
BoostedTreesCenterBias
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.
Public Methods
| Output<Boolean> |
asOutput()
Returns the symbolic handle of a tensor.
|
| Output<Boolean> |
continueCentering()
Bool, whether to continue bias centering.
|
| static BoostedTreesCenterBias |
Inherited Methods
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 static BoostedTreesCenterBias create (Scope scope, Operand<?> treeEnsembleHandle, Operand<Float> meanGradients, Operand<Float> meanHessians, Operand<Float> l1, Operand<Float> 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