com.aliyun.paistudio20220112.models

类 AlgorithmSpec

java.lang.Object

com.aliyun.tea.TeaModel

com.aliyun.paistudio20220112.models.AlgorithmSpec

public class AlgorithmSpec
extends com.aliyun.tea.TeaModel

嵌套类概要

嵌套类

限定符和类型	类和说明
static class	AlgorithmSpec.AlgorithmSpecComputeResource
static class	AlgorithmSpec.AlgorithmSpecComputeResourcePolicy
static class	AlgorithmSpec.AlgorithmSpecCustomization
static class	AlgorithmSpec.AlgorithmSpecProgressDefinitions
static class	AlgorithmSpec.AlgorithmSpecProgressDefinitionsOverallProgress
static class	AlgorithmSpec.AlgorithmSpecProgressDefinitionsRemainingTime

字段概要

字段

限定符和类型	字段和说明
Location	codeDir The custom code configuration.
List<String>	command The list of commands to run the training task.
AlgorithmSpec.AlgorithmSpecComputeResource	computeResource The compute resource definition.
AlgorithmSpec.AlgorithmSpecCustomization	customization The custom configuration.
List<HyperParameterDefinition>	hyperParameters The list of hyperparameter definitions.
String	image The training runtime image.
List<Channel>	inputChannels The list of input channels for the algorithm.
String	jobType The job type.
List<MetricDefinition>	metricDefinitions The list of metric definitions for the training task.
List<Channel>	outputChannels The list of output channels for the algorithm.
AlgorithmSpec.AlgorithmSpecProgressDefinitions	progressDefinitions You can use this feature to monitor the training progress.
List<ConditionExpression>	resourceRequirements The resource requirements.
List<String>	supportedInstanceTypes The list of supported elastic computing instance types for training.
Boolean	supportsDistributedTraining Indicates whether distributed training is supported.

构造器概要

构造器

构造器和说明
AlgorithmSpec()

方法概要

限定符和类型	方法和说明
static AlgorithmSpec	build(Map<String,?> map)
Location	getCodeDir()
List<String>	getCommand()
AlgorithmSpec.AlgorithmSpecComputeResource	getComputeResource()
AlgorithmSpec.AlgorithmSpecCustomization	getCustomization()
List<HyperParameterDefinition>	getHyperParameters()
String	getImage()
List<Channel>	getInputChannels()
String	getJobType()
List<MetricDefinition>	getMetricDefinitions()
List<Channel>	getOutputChannels()
AlgorithmSpec.AlgorithmSpecProgressDefinitions	getProgressDefinitions()
List<ConditionExpression>	getResourceRequirements()
List<String>	getSupportedInstanceTypes()
Boolean	getSupportsDistributedTraining()
AlgorithmSpec	setCodeDir(Location codeDir)
AlgorithmSpec	setCommand(List<String> command)
AlgorithmSpec	setComputeResource(AlgorithmSpec.AlgorithmSpecComputeResource computeResource)
AlgorithmSpec	setCustomization(AlgorithmSpec.AlgorithmSpecCustomization customization)
AlgorithmSpec	setHyperParameters(List<HyperParameterDefinition> hyperParameters)
AlgorithmSpec	setImage(String image)
AlgorithmSpec	setInputChannels(List<Channel> inputChannels)
AlgorithmSpec	setJobType(String jobType)
AlgorithmSpec	setMetricDefinitions(List<MetricDefinition> metricDefinitions)
AlgorithmSpec	setOutputChannels(List<Channel> outputChannels)
AlgorithmSpec	setProgressDefinitions(AlgorithmSpec.AlgorithmSpecProgressDefinitions progressDefinitions)
AlgorithmSpec	setResourceRequirements(List<ConditionExpression> resourceRequirements)
AlgorithmSpec	setSupportedInstanceTypes(List<String> supportedInstanceTypes)
AlgorithmSpec	setSupportsDistributedTraining(Boolean supportsDistributedTraining)

从类继承的方法 com.aliyun.tea.TeaModel

build, buildMap, confirmType, confirmType, parseObject, toMap, toMap, toModel, validate, validateParams

从类继承的方法 java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

字段详细资料

codeDir

@NameInMap(value="CodeDir")
public Location codeDir

The custom code configuration.

command

@NameInMap(value="Command")
public List<String> command

The list of commands to run the training task.

This parameter is required.

computeResource

@NameInMap(value="ComputeResource")
public AlgorithmSpec.AlgorithmSpecComputeResource computeResource

The compute resource definition.

customization

@NameInMap(value="Customization")
public AlgorithmSpec.AlgorithmSpecCustomization customization

The custom configuration.

hyperParameters

@NameInMap(value="HyperParameters")
public List<HyperParameterDefinition> hyperParameters

The list of hyperparameter definitions.

image

@NameInMap(value="Image")
public String image

The training runtime image.

This parameter is required.

example:

registry.cn-shanghai.aliyuncs.com/pai-training/kmeans:v1.0.0

inputChannels

@NameInMap(value="InputChannels")
public List<Channel> inputChannels

The list of input channels for the algorithm.

jobType

@NameInMap(value="JobType")
public String jobType

The job type.

This parameter is required.

example:

TFJob

metricDefinitions

@NameInMap(value="MetricDefinitions")
public List<MetricDefinition> metricDefinitions

The list of metric definitions for the training task.

outputChannels

@NameInMap(value="OutputChannels")
public List<Channel> outputChannels

The list of output channels for the algorithm.

progressDefinitions

@NameInMap(value="ProgressDefinitions")
public AlgorithmSpec.AlgorithmSpecProgressDefinitions progressDefinitions

You can use this feature to monitor the training progress.

resourceRequirements

@NameInMap(value="ResourceRequirements")
public List<ConditionExpression> resourceRequirements

The resource requirements.

supportedInstanceTypes

@NameInMap(value="SupportedInstanceTypes")
public List<String> supportedInstanceTypes

The list of supported elastic computing instance types for training.

supportsDistributedTraining

@NameInMap(value="SupportsDistributedTraining")
public Boolean supportsDistributedTraining

Indicates whether distributed training is supported.

example:

true

构造器详细资料

AlgorithmSpec

public AlgorithmSpec()

方法详细资料

build

public static AlgorithmSpec build(Map<String,?> map)
                           throws Exception

抛出:

Exception

setCodeDir

public AlgorithmSpec setCodeDir(Location codeDir)

getCodeDir

public Location getCodeDir()

setCommand

public AlgorithmSpec setCommand(List<String> command)

getCommand

public List<String> getCommand()

setComputeResource

public AlgorithmSpec setComputeResource(AlgorithmSpec.AlgorithmSpecComputeResource computeResource)

getComputeResource

public AlgorithmSpec.AlgorithmSpecComputeResource getComputeResource()

setCustomization

public AlgorithmSpec setCustomization(AlgorithmSpec.AlgorithmSpecCustomization customization)

getCustomization

public AlgorithmSpec.AlgorithmSpecCustomization getCustomization()

setHyperParameters

public AlgorithmSpec setHyperParameters(List<HyperParameterDefinition> hyperParameters)

getHyperParameters

public List<HyperParameterDefinition> getHyperParameters()

setImage

public AlgorithmSpec setImage(String image)

getImage

public String getImage()

setInputChannels

public AlgorithmSpec setInputChannels(List<Channel> inputChannels)

getInputChannels

public List<Channel> getInputChannels()

setJobType

public AlgorithmSpec setJobType(String jobType)

getJobType

public String getJobType()

setMetricDefinitions

public AlgorithmSpec setMetricDefinitions(List<MetricDefinition> metricDefinitions)

getMetricDefinitions

public List<MetricDefinition> getMetricDefinitions()

setOutputChannels

public AlgorithmSpec setOutputChannels(List<Channel> outputChannels)

getOutputChannels

public List<Channel> getOutputChannels()

setProgressDefinitions

public AlgorithmSpec setProgressDefinitions(AlgorithmSpec.AlgorithmSpecProgressDefinitions progressDefinitions)

getProgressDefinitions

public AlgorithmSpec.AlgorithmSpecProgressDefinitions getProgressDefinitions()

setResourceRequirements

public AlgorithmSpec setResourceRequirements(List<ConditionExpression> resourceRequirements)

getResourceRequirements

public List<ConditionExpression> getResourceRequirements()

setSupportedInstanceTypes

public AlgorithmSpec setSupportedInstanceTypes(List<String> supportedInstanceTypes)

getSupportedInstanceTypes

public List<String> getSupportedInstanceTypes()

setSupportsDistributedTraining

public AlgorithmSpec setSupportsDistributedTraining(Boolean supportsDistributedTraining)

getSupportsDistributedTraining

public Boolean getSupportsDistributedTraining()