tf.raw_ops.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.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.raw_ops.BoostedTreesCenterBias

tf.raw_ops.BoostedTreesCenterBias(
    tree_ensemble_handle, mean_gradients, mean_hessians, l1, l2, name=None
)

Args
tree_ensemble_handle	A Tensor of type resource. Handle to the tree ensemble.
mean_gradients	A Tensor of type float32. A tensor with shape=[logits_dimension] with mean of gradients for a first node.
mean_hessians	A Tensor of type float32. A tensor with shape=[logits_dimension] mean of hessians for a first node.
l1	A Tensor of type float32. l1 regularization factor on leaf weights, per instance based.
l2	A Tensor of type float32. l2 regularization factor on leaf weights, per instance based.
name	A name for the operation (optional).

Returns
A Tensor of type bool.