Runs multiple additive regression ensemble predictors on input instances and
tf.raw_ops.BoostedTreesTrainingPredict(
tree_ensemble_handle,
cached_tree_ids,
cached_node_ids,
bucketized_features,
logits_dimension,
name=None
)
computes the update to cached logits. It is designed to be used during training. It traverses the trees starting from cached tree id and cached node id and calculates the updates to be pushed to the cache.
Returns | |
---|---|
A tuple of Tensor objects (partial_logits, tree_ids, node_ids).
|
|
partial_logits
|
A Tensor of type float32 .
|
tree_ids
|
A Tensor of type int32 .
|
node_ids
|
A Tensor of type int32 .
|