Struct tensorflow::eager::raw_ops::BoostedTreesTrainingPredict

pub struct BoostedTreesTrainingPredict { /* private fields */ }

BoostedTreesTrainingPredict

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

Implementations

impl BoostedTreesTrainingPredict

pub fn new() -> Self

Creates a new BoostedTreesTrainingPredict.

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

Sets the logits_dimension 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>>( &self, ctx: &'a Context, tree_ensemble_handle: &T0, cached_tree_ids: &T1, cached_node_ids: &T2, bucketized_features: &[&T3] ) -> Result<[TensorHandle<'a>; 3]>

Execute boosted_trees_training_predict.

Trait Implementations

impl Clone for BoostedTreesTrainingPredict

fn clone(&self) -> BoostedTreesTrainingPredict

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for BoostedTreesTrainingPredict

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

Formats the value using the given formatter.

impl Default for BoostedTreesTrainingPredict

fn default() -> Self

Returns the “default value” for a type.