tf.raw_ops.BoostedTreesAggregateStats

Aggregates the summary of accumulated stats for the batch.

tf.raw_ops.BoostedTreesAggregateStats(
    node_ids, gradients, hessians, feature, max_splits, num_buckets, name=None
)

The summary stats contains gradients and hessians accumulated for each node, feature dimension id and bucket.

Args:

  • node_ids: A Tensor of type int32. int32; Rank 1 Tensor containing node ids for each example, shape [batch_size].
  • gradients: A Tensor of type float32. float32; Rank 2 Tensor (shape=[batch_size, logits_dimension]) with gradients for each example.
  • hessians: A Tensor of type float32. float32; Rank 2 Tensor (shape=[batch_size, hessian_dimension]) with hessians for each example.
  • feature: A Tensor of type int32. int32; Rank 2 feature Tensors (shape=[batch_size, feature_dimension]).
  • max_splits: An int that is >= 1. int; the maximum number of splits possible in the whole tree.
  • num_buckets: An int that is >= 1. int; equals to the maximum possible value of bucketized feature.
  • name: A name for the operation (optional).

Returns:

A Tensor of type float32.