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.
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. |
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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/r2.3/api_docs/python/tf/raw_ops/BoostedTreesCenterBias