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. | 
| 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