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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.

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.

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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/raw_ops/BoostedTreesCenterBias