tf.raw_ops.BoostedTreesMakeStatsSummary

Makes the summary of accumulated stats for the batch.

tf.raw_ops.BoostedTreesMakeStatsSummary(
    node_ids,
    gradients,
    hessians,
    bucketized_features_list,
    max_splits,
    num_buckets,
    name=None
)

The summary stats contains gradients and hessians accumulated into the corresponding node and bucket for each example.

node_ids A Tensor of type int32. int32 Rank 1 Tensor containing node ids, which each example falls into for the requested layer.
gradients A Tensor of type float32. float32; Rank 2 Tensor (shape=[#examples, 1]) for gradients.
hessians A Tensor of type float32. float32; Rank 2 Tensor (shape=[#examples, 1]) for hessians.
bucketized_features_list A list of at least 1 Tensor objects with type int32. int32 list of Rank 1 Tensors, each containing the bucketized feature (for each feature column).
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).

A Tensor of type float32.