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tf.raw_ops.BoostedTreesUpdateEnsemble

Updates the tree ensemble by either adding a layer to the last tree being grown

or by starting a new tree.

Args
tree_ensemble_handle A Tensor of type resource. Handle to the ensemble variable.
feature_ids A Tensor of type int32. Rank 1 tensor with ids for each feature. This is the real id of the feature that will be used in the split.
node_ids A list of Tensor objects with type int32. List of rank 1 tensors representing the nodes for which this feature has a split.
gains A list with the same length as node_ids of Tensor objects with type float32. List of rank 1 tensors representing the gains for each of the feature's split.
thresholds A list with the same length as node_ids of Tensor objects with type int32. List of rank 1 tensors representing the thesholds for each of the feature's split.
left_node_contribs A list with the same length as node_ids of Tensor objects with type float32. List of rank 2 tensors with left leaf contribs for each of the feature's splits. Will be added to the previous node values to constitute the values of the left nodes.
right_node_contribs A list with the same length as node_ids of Tensor objects with type float32. List of rank 2 tensors with right leaf contribs for each of the feature's splits. Will be added to the previous node values to constitute the values of the right nodes.
max_depth A Tensor of type int32. Max depth of the tree to build.
learning_rate A Tensor of type float32. shrinkage const for each new tree.
pruning_mode An int that is >= 0. 0-No pruning, 1-Pre-pruning, 2-Post-pruning.
name A name for the operation (optional).
Returns
The created Operation.

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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/BoostedTreesUpdateEnsemble