AWS SDK for C++  1.8.100
AWS SDK for C++
Public Member Functions | List of all members
Aws::SageMaker::Model::TrainingSpecification Class Reference

#include <TrainingSpecification.h>

Public Member Functions

 TrainingSpecification ()
 
 TrainingSpecification (Aws::Utils::Json::JsonView jsonValue)
 
TrainingSpecificationoperator= (Aws::Utils::Json::JsonView jsonValue)
 
Aws::Utils::Json::JsonValue Jsonize () const
 
const Aws::StringGetTrainingImage () const
 
bool TrainingImageHasBeenSet () const
 
void SetTrainingImage (const Aws::String &value)
 
void SetTrainingImage (Aws::String &&value)
 
void SetTrainingImage (const char *value)
 
TrainingSpecificationWithTrainingImage (const Aws::String &value)
 
TrainingSpecificationWithTrainingImage (Aws::String &&value)
 
TrainingSpecificationWithTrainingImage (const char *value)
 
const Aws::StringGetTrainingImageDigest () const
 
bool TrainingImageDigestHasBeenSet () const
 
void SetTrainingImageDigest (const Aws::String &value)
 
void SetTrainingImageDigest (Aws::String &&value)
 
void SetTrainingImageDigest (const char *value)
 
TrainingSpecificationWithTrainingImageDigest (const Aws::String &value)
 
TrainingSpecificationWithTrainingImageDigest (Aws::String &&value)
 
TrainingSpecificationWithTrainingImageDigest (const char *value)
 
const Aws::Vector< HyperParameterSpecification > & GetSupportedHyperParameters () const
 
bool SupportedHyperParametersHasBeenSet () const
 
void SetSupportedHyperParameters (const Aws::Vector< HyperParameterSpecification > &value)
 
void SetSupportedHyperParameters (Aws::Vector< HyperParameterSpecification > &&value)
 
TrainingSpecificationWithSupportedHyperParameters (const Aws::Vector< HyperParameterSpecification > &value)
 
TrainingSpecificationWithSupportedHyperParameters (Aws::Vector< HyperParameterSpecification > &&value)
 
TrainingSpecificationAddSupportedHyperParameters (const HyperParameterSpecification &value)
 
TrainingSpecificationAddSupportedHyperParameters (HyperParameterSpecification &&value)
 
const Aws::Vector< TrainingInstanceType > & GetSupportedTrainingInstanceTypes () const
 
bool SupportedTrainingInstanceTypesHasBeenSet () const
 
void SetSupportedTrainingInstanceTypes (const Aws::Vector< TrainingInstanceType > &value)
 
void SetSupportedTrainingInstanceTypes (Aws::Vector< TrainingInstanceType > &&value)
 
TrainingSpecificationWithSupportedTrainingInstanceTypes (const Aws::Vector< TrainingInstanceType > &value)
 
TrainingSpecificationWithSupportedTrainingInstanceTypes (Aws::Vector< TrainingInstanceType > &&value)
 
TrainingSpecificationAddSupportedTrainingInstanceTypes (const TrainingInstanceType &value)
 
TrainingSpecificationAddSupportedTrainingInstanceTypes (TrainingInstanceType &&value)
 
bool GetSupportsDistributedTraining () const
 
bool SupportsDistributedTrainingHasBeenSet () const
 
void SetSupportsDistributedTraining (bool value)
 
TrainingSpecificationWithSupportsDistributedTraining (bool value)
 
const Aws::Vector< MetricDefinition > & GetMetricDefinitions () const
 
bool MetricDefinitionsHasBeenSet () const
 
void SetMetricDefinitions (const Aws::Vector< MetricDefinition > &value)
 
void SetMetricDefinitions (Aws::Vector< MetricDefinition > &&value)
 
TrainingSpecificationWithMetricDefinitions (const Aws::Vector< MetricDefinition > &value)
 
TrainingSpecificationWithMetricDefinitions (Aws::Vector< MetricDefinition > &&value)
 
TrainingSpecificationAddMetricDefinitions (const MetricDefinition &value)
 
TrainingSpecificationAddMetricDefinitions (MetricDefinition &&value)
 
const Aws::Vector< ChannelSpecification > & GetTrainingChannels () const
 
bool TrainingChannelsHasBeenSet () const
 
void SetTrainingChannels (const Aws::Vector< ChannelSpecification > &value)
 
void SetTrainingChannels (Aws::Vector< ChannelSpecification > &&value)
 
TrainingSpecificationWithTrainingChannels (const Aws::Vector< ChannelSpecification > &value)
 
TrainingSpecificationWithTrainingChannels (Aws::Vector< ChannelSpecification > &&value)
 
TrainingSpecificationAddTrainingChannels (const ChannelSpecification &value)
 
TrainingSpecificationAddTrainingChannels (ChannelSpecification &&value)
 
const Aws::Vector< HyperParameterTuningJobObjective > & GetSupportedTuningJobObjectiveMetrics () const
 
bool SupportedTuningJobObjectiveMetricsHasBeenSet () const
 
void SetSupportedTuningJobObjectiveMetrics (const Aws::Vector< HyperParameterTuningJobObjective > &value)
 
void SetSupportedTuningJobObjectiveMetrics (Aws::Vector< HyperParameterTuningJobObjective > &&value)
 
TrainingSpecificationWithSupportedTuningJobObjectiveMetrics (const Aws::Vector< HyperParameterTuningJobObjective > &value)
 
TrainingSpecificationWithSupportedTuningJobObjectiveMetrics (Aws::Vector< HyperParameterTuningJobObjective > &&value)
 
TrainingSpecificationAddSupportedTuningJobObjectiveMetrics (const HyperParameterTuningJobObjective &value)
 
TrainingSpecificationAddSupportedTuningJobObjectiveMetrics (HyperParameterTuningJobObjective &&value)
 

Detailed Description

Defines how the algorithm is used for a training job.

See Also:

AWS API Reference

Definition at line 38 of file TrainingSpecification.h.

Constructor & Destructor Documentation

◆ TrainingSpecification() [1/2]

Aws::SageMaker::Model::TrainingSpecification::TrainingSpecification ( )

◆ TrainingSpecification() [2/2]

Aws::SageMaker::Model::TrainingSpecification::TrainingSpecification ( Aws::Utils::Json::JsonView  jsonValue)

Member Function Documentation

◆ AddMetricDefinitions() [1/2]

TrainingSpecification& Aws::SageMaker::Model::TrainingSpecification::AddMetricDefinitions ( const MetricDefinition value)
inline

A list of MetricDefinition objects, which are used for parsing metrics generated by the algorithm.

Definition at line 308 of file TrainingSpecification.h.

◆ AddMetricDefinitions() [2/2]

TrainingSpecification& Aws::SageMaker::Model::TrainingSpecification::AddMetricDefinitions ( MetricDefinition &&  value)
inline

A list of MetricDefinition objects, which are used for parsing metrics generated by the algorithm.

Definition at line 314 of file TrainingSpecification.h.

◆ AddSupportedHyperParameters() [1/2]

TrainingSpecification& Aws::SageMaker::Model::TrainingSpecification::AddSupportedHyperParameters ( const HyperParameterSpecification value)
inline

A list of the HyperParameterSpecification objects, that define the supported hyperparameters. This is required if the algorithm supports automatic model tuning.>

Definition at line 192 of file TrainingSpecification.h.

◆ AddSupportedHyperParameters() [2/2]

TrainingSpecification& Aws::SageMaker::Model::TrainingSpecification::AddSupportedHyperParameters ( HyperParameterSpecification &&  value)
inline

A list of the HyperParameterSpecification objects, that define the supported hyperparameters. This is required if the algorithm supports automatic model tuning.>

Definition at line 199 of file TrainingSpecification.h.

◆ AddSupportedTrainingInstanceTypes() [1/2]

TrainingSpecification& Aws::SageMaker::Model::TrainingSpecification::AddSupportedTrainingInstanceTypes ( const TrainingInstanceType value)
inline

A list of the instance types that this algorithm can use for training.

Definition at line 235 of file TrainingSpecification.h.

◆ AddSupportedTrainingInstanceTypes() [2/2]

TrainingSpecification& Aws::SageMaker::Model::TrainingSpecification::AddSupportedTrainingInstanceTypes ( TrainingInstanceType &&  value)
inline

A list of the instance types that this algorithm can use for training.

Definition at line 240 of file TrainingSpecification.h.

◆ AddSupportedTuningJobObjectiveMetrics() [1/2]

TrainingSpecification& Aws::SageMaker::Model::TrainingSpecification::AddSupportedTuningJobObjectiveMetrics ( const HyperParameterTuningJobObjective value)
inline

A list of the metrics that the algorithm emits that can be used as the objective metric in a hyperparameter tuning job.

Definition at line 406 of file TrainingSpecification.h.

◆ AddSupportedTuningJobObjectiveMetrics() [2/2]

TrainingSpecification& Aws::SageMaker::Model::TrainingSpecification::AddSupportedTuningJobObjectiveMetrics ( HyperParameterTuningJobObjective &&  value)
inline

A list of the metrics that the algorithm emits that can be used as the objective metric in a hyperparameter tuning job.

Definition at line 412 of file TrainingSpecification.h.

◆ AddTrainingChannels() [1/2]

TrainingSpecification& Aws::SageMaker::Model::TrainingSpecification::AddTrainingChannels ( const ChannelSpecification value)
inline

A list of ChannelSpecification objects, which specify the input sources to be used by the algorithm.

Definition at line 357 of file TrainingSpecification.h.

◆ AddTrainingChannels() [2/2]

TrainingSpecification& Aws::SageMaker::Model::TrainingSpecification::AddTrainingChannels ( ChannelSpecification &&  value)
inline

A list of ChannelSpecification objects, which specify the input sources to be used by the algorithm.

Definition at line 363 of file TrainingSpecification.h.

◆ GetMetricDefinitions()

const Aws::Vector<MetricDefinition>& Aws::SageMaker::Model::TrainingSpecification::GetMetricDefinitions ( ) const
inline

A list of MetricDefinition objects, which are used for parsing metrics generated by the algorithm.

Definition at line 272 of file TrainingSpecification.h.

◆ GetSupportedHyperParameters()

const Aws::Vector<HyperParameterSpecification>& Aws::SageMaker::Model::TrainingSpecification::GetSupportedHyperParameters ( ) const
inline

A list of the HyperParameterSpecification objects, that define the supported hyperparameters. This is required if the algorithm supports automatic model tuning.>

Definition at line 150 of file TrainingSpecification.h.

◆ GetSupportedTrainingInstanceTypes()

const Aws::Vector<TrainingInstanceType>& Aws::SageMaker::Model::TrainingSpecification::GetSupportedTrainingInstanceTypes ( ) const
inline

A list of the instance types that this algorithm can use for training.

Definition at line 205 of file TrainingSpecification.h.

◆ GetSupportedTuningJobObjectiveMetrics()

const Aws::Vector<HyperParameterTuningJobObjective>& Aws::SageMaker::Model::TrainingSpecification::GetSupportedTuningJobObjectiveMetrics ( ) const
inline

A list of the metrics that the algorithm emits that can be used as the objective metric in a hyperparameter tuning job.

Definition at line 370 of file TrainingSpecification.h.

◆ GetSupportsDistributedTraining()

bool Aws::SageMaker::Model::TrainingSpecification::GetSupportsDistributedTraining ( ) const
inline

Indicates whether the algorithm supports distributed training. If set to false, buyers can't request more than one instance during training.

Definition at line 247 of file TrainingSpecification.h.

◆ GetTrainingChannels()

const Aws::Vector<ChannelSpecification>& Aws::SageMaker::Model::TrainingSpecification::GetTrainingChannels ( ) const
inline

A list of ChannelSpecification objects, which specify the input sources to be used by the algorithm.

Definition at line 321 of file TrainingSpecification.h.

◆ GetTrainingImage()

const Aws::String& Aws::SageMaker::Model::TrainingSpecification::GetTrainingImage ( ) const
inline

The Amazon ECR registry path of the Docker image that contains the training algorithm.

Definition at line 51 of file TrainingSpecification.h.

◆ GetTrainingImageDigest()

const Aws::String& Aws::SageMaker::Model::TrainingSpecification::GetTrainingImageDigest ( ) const
inline

An MD5 hash of the training algorithm that identifies the Docker image used for training.

Definition at line 100 of file TrainingSpecification.h.

◆ Jsonize()

Aws::Utils::Json::JsonValue Aws::SageMaker::Model::TrainingSpecification::Jsonize ( ) const

◆ MetricDefinitionsHasBeenSet()

bool Aws::SageMaker::Model::TrainingSpecification::MetricDefinitionsHasBeenSet ( ) const
inline

A list of MetricDefinition objects, which are used for parsing metrics generated by the algorithm.

Definition at line 278 of file TrainingSpecification.h.

◆ operator=()

TrainingSpecification& Aws::SageMaker::Model::TrainingSpecification::operator= ( Aws::Utils::Json::JsonView  jsonValue)

◆ SetMetricDefinitions() [1/2]

void Aws::SageMaker::Model::TrainingSpecification::SetMetricDefinitions ( const Aws::Vector< MetricDefinition > &  value)
inline

A list of MetricDefinition objects, which are used for parsing metrics generated by the algorithm.

Definition at line 284 of file TrainingSpecification.h.

◆ SetMetricDefinitions() [2/2]

void Aws::SageMaker::Model::TrainingSpecification::SetMetricDefinitions ( Aws::Vector< MetricDefinition > &&  value)
inline

A list of MetricDefinition objects, which are used for parsing metrics generated by the algorithm.

Definition at line 290 of file TrainingSpecification.h.

◆ SetSupportedHyperParameters() [1/2]

void Aws::SageMaker::Model::TrainingSpecification::SetSupportedHyperParameters ( const Aws::Vector< HyperParameterSpecification > &  value)
inline

A list of the HyperParameterSpecification objects, that define the supported hyperparameters. This is required if the algorithm supports automatic model tuning.>

Definition at line 164 of file TrainingSpecification.h.

◆ SetSupportedHyperParameters() [2/2]

void Aws::SageMaker::Model::TrainingSpecification::SetSupportedHyperParameters ( Aws::Vector< HyperParameterSpecification > &&  value)
inline

A list of the HyperParameterSpecification objects, that define the supported hyperparameters. This is required if the algorithm supports automatic model tuning.>

Definition at line 171 of file TrainingSpecification.h.

◆ SetSupportedTrainingInstanceTypes() [1/2]

void Aws::SageMaker::Model::TrainingSpecification::SetSupportedTrainingInstanceTypes ( const Aws::Vector< TrainingInstanceType > &  value)
inline

A list of the instance types that this algorithm can use for training.

Definition at line 215 of file TrainingSpecification.h.

◆ SetSupportedTrainingInstanceTypes() [2/2]

void Aws::SageMaker::Model::TrainingSpecification::SetSupportedTrainingInstanceTypes ( Aws::Vector< TrainingInstanceType > &&  value)
inline

A list of the instance types that this algorithm can use for training.

Definition at line 220 of file TrainingSpecification.h.

◆ SetSupportedTuningJobObjectiveMetrics() [1/2]

void Aws::SageMaker::Model::TrainingSpecification::SetSupportedTuningJobObjectiveMetrics ( const Aws::Vector< HyperParameterTuningJobObjective > &  value)
inline

A list of the metrics that the algorithm emits that can be used as the objective metric in a hyperparameter tuning job.

Definition at line 382 of file TrainingSpecification.h.

◆ SetSupportedTuningJobObjectiveMetrics() [2/2]

void Aws::SageMaker::Model::TrainingSpecification::SetSupportedTuningJobObjectiveMetrics ( Aws::Vector< HyperParameterTuningJobObjective > &&  value)
inline

A list of the metrics that the algorithm emits that can be used as the objective metric in a hyperparameter tuning job.

Definition at line 388 of file TrainingSpecification.h.

◆ SetSupportsDistributedTraining()

void Aws::SageMaker::Model::TrainingSpecification::SetSupportsDistributedTraining ( bool  value)
inline

Indicates whether the algorithm supports distributed training. If set to false, buyers can't request more than one instance during training.

Definition at line 259 of file TrainingSpecification.h.

◆ SetTrainingChannels() [1/2]

void Aws::SageMaker::Model::TrainingSpecification::SetTrainingChannels ( const Aws::Vector< ChannelSpecification > &  value)
inline

A list of ChannelSpecification objects, which specify the input sources to be used by the algorithm.

Definition at line 333 of file TrainingSpecification.h.

◆ SetTrainingChannels() [2/2]

void Aws::SageMaker::Model::TrainingSpecification::SetTrainingChannels ( Aws::Vector< ChannelSpecification > &&  value)
inline

A list of ChannelSpecification objects, which specify the input sources to be used by the algorithm.

Definition at line 339 of file TrainingSpecification.h.

◆ SetTrainingImage() [1/3]

void Aws::SageMaker::Model::TrainingSpecification::SetTrainingImage ( const Aws::String value)
inline

The Amazon ECR registry path of the Docker image that contains the training algorithm.

Definition at line 63 of file TrainingSpecification.h.

◆ SetTrainingImage() [2/3]

void Aws::SageMaker::Model::TrainingSpecification::SetTrainingImage ( Aws::String &&  value)
inline

The Amazon ECR registry path of the Docker image that contains the training algorithm.

Definition at line 69 of file TrainingSpecification.h.

◆ SetTrainingImage() [3/3]

void Aws::SageMaker::Model::TrainingSpecification::SetTrainingImage ( const char *  value)
inline

The Amazon ECR registry path of the Docker image that contains the training algorithm.

Definition at line 75 of file TrainingSpecification.h.

◆ SetTrainingImageDigest() [1/3]

void Aws::SageMaker::Model::TrainingSpecification::SetTrainingImageDigest ( const Aws::String value)
inline

An MD5 hash of the training algorithm that identifies the Docker image used for training.

Definition at line 112 of file TrainingSpecification.h.

◆ SetTrainingImageDigest() [2/3]

void Aws::SageMaker::Model::TrainingSpecification::SetTrainingImageDigest ( Aws::String &&  value)
inline

An MD5 hash of the training algorithm that identifies the Docker image used for training.

Definition at line 118 of file TrainingSpecification.h.

◆ SetTrainingImageDigest() [3/3]

void Aws::SageMaker::Model::TrainingSpecification::SetTrainingImageDigest ( const char *  value)
inline

An MD5 hash of the training algorithm that identifies the Docker image used for training.

Definition at line 124 of file TrainingSpecification.h.

◆ SupportedHyperParametersHasBeenSet()

bool Aws::SageMaker::Model::TrainingSpecification::SupportedHyperParametersHasBeenSet ( ) const
inline

A list of the HyperParameterSpecification objects, that define the supported hyperparameters. This is required if the algorithm supports automatic model tuning.>

Definition at line 157 of file TrainingSpecification.h.

◆ SupportedTrainingInstanceTypesHasBeenSet()

bool Aws::SageMaker::Model::TrainingSpecification::SupportedTrainingInstanceTypesHasBeenSet ( ) const
inline

A list of the instance types that this algorithm can use for training.

Definition at line 210 of file TrainingSpecification.h.

◆ SupportedTuningJobObjectiveMetricsHasBeenSet()

bool Aws::SageMaker::Model::TrainingSpecification::SupportedTuningJobObjectiveMetricsHasBeenSet ( ) const
inline

A list of the metrics that the algorithm emits that can be used as the objective metric in a hyperparameter tuning job.

Definition at line 376 of file TrainingSpecification.h.

◆ SupportsDistributedTrainingHasBeenSet()

bool Aws::SageMaker::Model::TrainingSpecification::SupportsDistributedTrainingHasBeenSet ( ) const
inline

Indicates whether the algorithm supports distributed training. If set to false, buyers can't request more than one instance during training.

Definition at line 253 of file TrainingSpecification.h.

◆ TrainingChannelsHasBeenSet()

bool Aws::SageMaker::Model::TrainingSpecification::TrainingChannelsHasBeenSet ( ) const
inline

A list of ChannelSpecification objects, which specify the input sources to be used by the algorithm.

Definition at line 327 of file TrainingSpecification.h.

◆ TrainingImageDigestHasBeenSet()

bool Aws::SageMaker::Model::TrainingSpecification::TrainingImageDigestHasBeenSet ( ) const
inline

An MD5 hash of the training algorithm that identifies the Docker image used for training.

Definition at line 106 of file TrainingSpecification.h.

◆ TrainingImageHasBeenSet()

bool Aws::SageMaker::Model::TrainingSpecification::TrainingImageHasBeenSet ( ) const
inline

The Amazon ECR registry path of the Docker image that contains the training algorithm.

Definition at line 57 of file TrainingSpecification.h.

◆ WithMetricDefinitions() [1/2]

TrainingSpecification& Aws::SageMaker::Model::TrainingSpecification::WithMetricDefinitions ( const Aws::Vector< MetricDefinition > &  value)
inline

A list of MetricDefinition objects, which are used for parsing metrics generated by the algorithm.

Definition at line 296 of file TrainingSpecification.h.

◆ WithMetricDefinitions() [2/2]

TrainingSpecification& Aws::SageMaker::Model::TrainingSpecification::WithMetricDefinitions ( Aws::Vector< MetricDefinition > &&  value)
inline

A list of MetricDefinition objects, which are used for parsing metrics generated by the algorithm.

Definition at line 302 of file TrainingSpecification.h.

◆ WithSupportedHyperParameters() [1/2]

TrainingSpecification& Aws::SageMaker::Model::TrainingSpecification::WithSupportedHyperParameters ( const Aws::Vector< HyperParameterSpecification > &  value)
inline

A list of the HyperParameterSpecification objects, that define the supported hyperparameters. This is required if the algorithm supports automatic model tuning.>

Definition at line 178 of file TrainingSpecification.h.

◆ WithSupportedHyperParameters() [2/2]

TrainingSpecification& Aws::SageMaker::Model::TrainingSpecification::WithSupportedHyperParameters ( Aws::Vector< HyperParameterSpecification > &&  value)
inline

A list of the HyperParameterSpecification objects, that define the supported hyperparameters. This is required if the algorithm supports automatic model tuning.>

Definition at line 185 of file TrainingSpecification.h.

◆ WithSupportedTrainingInstanceTypes() [1/2]

TrainingSpecification& Aws::SageMaker::Model::TrainingSpecification::WithSupportedTrainingInstanceTypes ( const Aws::Vector< TrainingInstanceType > &  value)
inline

A list of the instance types that this algorithm can use for training.

Definition at line 225 of file TrainingSpecification.h.

◆ WithSupportedTrainingInstanceTypes() [2/2]

TrainingSpecification& Aws::SageMaker::Model::TrainingSpecification::WithSupportedTrainingInstanceTypes ( Aws::Vector< TrainingInstanceType > &&  value)
inline

A list of the instance types that this algorithm can use for training.

Definition at line 230 of file TrainingSpecification.h.

◆ WithSupportedTuningJobObjectiveMetrics() [1/2]

TrainingSpecification& Aws::SageMaker::Model::TrainingSpecification::WithSupportedTuningJobObjectiveMetrics ( const Aws::Vector< HyperParameterTuningJobObjective > &  value)
inline

A list of the metrics that the algorithm emits that can be used as the objective metric in a hyperparameter tuning job.

Definition at line 394 of file TrainingSpecification.h.

◆ WithSupportedTuningJobObjectiveMetrics() [2/2]

TrainingSpecification& Aws::SageMaker::Model::TrainingSpecification::WithSupportedTuningJobObjectiveMetrics ( Aws::Vector< HyperParameterTuningJobObjective > &&  value)
inline

A list of the metrics that the algorithm emits that can be used as the objective metric in a hyperparameter tuning job.

Definition at line 400 of file TrainingSpecification.h.

◆ WithSupportsDistributedTraining()

TrainingSpecification& Aws::SageMaker::Model::TrainingSpecification::WithSupportsDistributedTraining ( bool  value)
inline

Indicates whether the algorithm supports distributed training. If set to false, buyers can't request more than one instance during training.

Definition at line 265 of file TrainingSpecification.h.

◆ WithTrainingChannels() [1/2]

TrainingSpecification& Aws::SageMaker::Model::TrainingSpecification::WithTrainingChannels ( const Aws::Vector< ChannelSpecification > &  value)
inline

A list of ChannelSpecification objects, which specify the input sources to be used by the algorithm.

Definition at line 345 of file TrainingSpecification.h.

◆ WithTrainingChannels() [2/2]

TrainingSpecification& Aws::SageMaker::Model::TrainingSpecification::WithTrainingChannels ( Aws::Vector< ChannelSpecification > &&  value)
inline

A list of ChannelSpecification objects, which specify the input sources to be used by the algorithm.

Definition at line 351 of file TrainingSpecification.h.

◆ WithTrainingImage() [1/3]

TrainingSpecification& Aws::SageMaker::Model::TrainingSpecification::WithTrainingImage ( const Aws::String value)
inline

The Amazon ECR registry path of the Docker image that contains the training algorithm.

Definition at line 81 of file TrainingSpecification.h.

◆ WithTrainingImage() [2/3]

TrainingSpecification& Aws::SageMaker::Model::TrainingSpecification::WithTrainingImage ( Aws::String &&  value)
inline

The Amazon ECR registry path of the Docker image that contains the training algorithm.

Definition at line 87 of file TrainingSpecification.h.

◆ WithTrainingImage() [3/3]

TrainingSpecification& Aws::SageMaker::Model::TrainingSpecification::WithTrainingImage ( const char *  value)
inline

The Amazon ECR registry path of the Docker image that contains the training algorithm.

Definition at line 93 of file TrainingSpecification.h.

◆ WithTrainingImageDigest() [1/3]

TrainingSpecification& Aws::SageMaker::Model::TrainingSpecification::WithTrainingImageDigest ( const Aws::String value)
inline

An MD5 hash of the training algorithm that identifies the Docker image used for training.

Definition at line 130 of file TrainingSpecification.h.

◆ WithTrainingImageDigest() [2/3]

TrainingSpecification& Aws::SageMaker::Model::TrainingSpecification::WithTrainingImageDigest ( Aws::String &&  value)
inline

An MD5 hash of the training algorithm that identifies the Docker image used for training.

Definition at line 136 of file TrainingSpecification.h.

◆ WithTrainingImageDigest() [3/3]

TrainingSpecification& Aws::SageMaker::Model::TrainingSpecification::WithTrainingImageDigest ( const char *  value)
inline

An MD5 hash of the training algorithm that identifies the Docker image used for training.

Definition at line 142 of file TrainingSpecification.h.


The documentation for this class was generated from the following file: