GraphSdcaOptimizer Method |
Namespace: Emgu.TF
public Operation SdcaOptimizer( Output sparse_example_indices, Output sparse_feature_indices, Output sparse_feature_values, Output dense_features, Output example_weights, Output example_labels, Output sparse_indices, Output sparse_weights, Output dense_weights, Output example_state_data, string loss_type, float l1, float l2, long num_loss_partitions, long num_inner_iterations, bool adaptative = false, string opName = "SdcaOptimizer" )
Public Function SdcaOptimizer ( sparse_example_indices As Output, sparse_feature_indices As Output, sparse_feature_values As Output, dense_features As Output, example_weights As Output, example_labels As Output, sparse_indices As Output, sparse_weights As Output, dense_weights As Output, example_state_data As Output, loss_type As String, l1 As Single, l2 As Single, num_loss_partitions As Long, num_inner_iterations As Long, Optional adaptative As Boolean = false, Optional opName As String = "SdcaOptimizer" ) As Operation
public: Operation^ SdcaOptimizer( Output^ sparse_example_indices, Output^ sparse_feature_indices, Output^ sparse_feature_values, Output^ dense_features, Output^ example_weights, Output^ example_labels, Output^ sparse_indices, Output^ sparse_weights, Output^ dense_weights, Output^ example_state_data, String^ loss_type, float l1, float l2, long long num_loss_partitions, long long num_inner_iterations, bool adaptative = false, String^ opName = L"SdcaOptimizer" )
member SdcaOptimizer : sparse_example_indices : Output * sparse_feature_indices : Output * sparse_feature_values : Output * dense_features : Output * example_weights : Output * example_labels : Output * sparse_indices : Output * sparse_weights : Output * dense_weights : Output * example_state_data : Output * loss_type : string * l1 : float32 * l2 : float32 * num_loss_partitions : int64 * num_inner_iterations : int64 * ?adaptative : bool * ?opName : string (* Defaults: let _adaptative = defaultArg adaptative false let _opName = defaultArg opName "SdcaOptimizer" *) -> Operation
2021 Emgu Corporation, All Rights Reserved,