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