Struct tensorflow::eager::raw_ops::BoostedTreesSparseAggregateStats

pub struct BoostedTreesSparseAggregateStats { /* private fields */ }

BoostedTreesSparseAggregateStats

See : https://www.tensorflow.org/api_docs/python/tf/raw_ops/BoostedTreesSparseAggregateStats

Implementations

impl BoostedTreesSparseAggregateStats

pub fn new() -> Self

Creates a new BoostedTreesSparseAggregateStats.

pub fn max_splits<ArgType: Into<i64>>(self, value: ArgType) -> Self

Sets the max_splits attribute.

pub fn num_buckets<ArgType: Into<i64>>(self, value: ArgType) -> Self

Sets the num_buckets attribute.

pub fn target_device_name<ArgType: Into<String>>(self, value: ArgType) -> Self

Sets the `` attribute.

pub fn call<'a, T0: ToTensorHandle<'a>, T1: ToTensorHandle<'a>, T2: ToTensorHandle<'a>, T3: ToTensorHandle<'a>, T4: ToTensorHandle<'a>, T5: ToTensorHandle<'a>>( &self, ctx: &'a Context, node_ids: &T0, gradients: &T1, hessians: &T2, feature_indices: &T3, feature_values: &T4, feature_shape: &T5 ) -> Result<[TensorHandle<'a>; 3]>

Execute boosted_trees_sparse_aggregate_stats.

Trait Implementations

impl Clone for BoostedTreesSparseAggregateStats

fn clone(&self) -> BoostedTreesSparseAggregateStats

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for BoostedTreesSparseAggregateStats

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for BoostedTreesSparseAggregateStats

fn default() -> Self

Returns the “default value” for a type.