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.
|