Struct tensorflow::eager::raw_ops::SdcaOptimizerV2

pub struct SdcaOptimizerV2 { /* private fields */ }

SdcaOptimizerV2

See : https://www.tensorflow.org/api_docs/python/tf/raw_ops/SdcaOptimizerV2

Implementations

impl SdcaOptimizerV2

pub fn new() -> Self

Creates a new SdcaOptimizerV2.

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

Sets the loss_type attribute.

pub fn adaptive<ArgType: Into<bool>>(self, value: ArgType) -> Self

Sets the adaptive attribute.

pub fn l1<ArgType: Into<f32>>(self, value: ArgType) -> Self

Sets the l1 attribute.

pub fn l2<ArgType: Into<f32>>(self, value: ArgType) -> Self

Sets the l2 attribute.

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

Sets the num_loss_partitions attribute.

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

Sets the num_inner_iterations 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>, T6: ToTensorHandle<'a>, T7: ToTensorHandle<'a>, T8: ToTensorHandle<'a>, T9: ToTensorHandle<'a>>( &self, ctx: &'a Context, sparse_example_indices: &[&T0], sparse_feature_indices: &[&T1], sparse_feature_values: &[&T2], dense_features: &[&T3], example_weights: &T4, example_labels: &T5, sparse_indices: &[&T6], sparse_weights: &[&T7], dense_weights: &[&T8], example_state_data: &T9 ) -> Result<[TensorHandle<'a>; 3]>

Execute sdca_optimizer_v2.

Trait Implementations

impl Clone for SdcaOptimizerV2

fn clone(&self) -> SdcaOptimizerV2

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for SdcaOptimizerV2

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

Formats the value using the given formatter.

impl Default for SdcaOptimizerV2

fn default() -> Self

Returns the “default value” for a type.