Struct tensorflow::ops::SdcaOptimizer

pub struct SdcaOptimizer { /* private fields */ }

Builder for the SdcaOptimizer operation.

Implementations

impl SdcaOptimizer

pub fn new() -> Self

Creates a new SdcaOptimizer.

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

Sets the loss_type attribute.

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

Sets the adaptative attribute.

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

Sets the num_sparse_features attribute.

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

Sets the num_sparse_features_with_values attribute.

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

Sets the num_dense_features 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 add_control_input(self, op: Operation) -> Self

Adds a control input.

pub fn build<O0: Into<Output>, O1: Into<Output>, O2: Into<Output>, O3: Into<Output>, O4: Into<Output>, O5: Into<Output>, O6: Into<Output>, O7: Into<Output>, O8: Into<Output>, O9: Into<Output>>( &self, sparse_example_indices: O0, sparse_feature_indices: O1, sparse_feature_values: O2, dense_features: O3, example_weights: O4, example_labels: O5, sparse_indices: O6, sparse_weights: O7, dense_weights: O8, example_state_data: O9, scope: &mut Scope ) -> Result<Operation>

Builds the SdcaOptimizer operation.

pub fn build_instance( &self, sparse_example_indices: Vec<Output>, sparse_feature_indices: Vec<Output>, sparse_feature_values: Vec<Output>, dense_features: Vec<Output>, example_weights: Output, example_labels: Output, sparse_indices: Vec<Output>, sparse_weights: Vec<Output>, dense_weights: Vec<Output>, example_state_data: Output, scope: &mut Scope ) -> Result<SdcaOptimizerInst>

Builds a new instance of ‘SdcaOptimizer’ Operation with it’s Outputs and Inputs exposed as methods.

Trait Implementations

impl Debug for SdcaOptimizer

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

Formats the value using the given formatter.

impl Default for SdcaOptimizer

fn default() -> SdcaOptimizer

Returns the “default value” for a type.