@Generated(value="software.amazon.awssdk:codegen") public final class TrainingJobDefinition extends Object implements SdkPojo, Serializable, ToCopyableBuilder<TrainingJobDefinition.Builder,TrainingJobDefinition>
Defines the input needed to run a training job using the algorithm.
| Modifier and Type | Class and Description |
|---|---|
static interface |
TrainingJobDefinition.Builder |
| Modifier and Type | Method and Description |
|---|---|
static TrainingJobDefinition.Builder |
builder() |
boolean |
equals(Object obj) |
boolean |
equalsBySdkFields(Object obj) |
<T> Optional<T> |
getValueForField(String fieldName,
Class<T> clazz) |
int |
hashCode() |
boolean |
hasHyperParameters()
For responses, this returns true if the service returned a value for the HyperParameters property.
|
boolean |
hasInputDataConfig()
For responses, this returns true if the service returned a value for the InputDataConfig property.
|
Map<String,String> |
hyperParameters()
The hyperparameters used for the training job.
|
List<Channel> |
inputDataConfig()
An array of
Channel objects, each of which specifies an input source. |
OutputDataConfig |
outputDataConfig()
the path to the S3 bucket where you want to store model artifacts.
|
ResourceConfig |
resourceConfig()
The resources, including the ML compute instances and ML storage volumes, to use for model training.
|
List<SdkField<?>> |
sdkFields() |
static Class<? extends TrainingJobDefinition.Builder> |
serializableBuilderClass() |
StoppingCondition |
stoppingCondition()
Specifies a limit to how long a model training job can run.
|
TrainingJobDefinition.Builder |
toBuilder() |
String |
toString()
Returns a string representation of this object.
|
TrainingInputMode |
trainingInputMode()
Returns the value of the TrainingInputMode property for this object.
|
String |
trainingInputModeAsString()
Returns the value of the TrainingInputMode property for this object.
|
clone, finalize, getClass, notify, notifyAll, wait, wait, waitcopypublic final TrainingInputMode trainingInputMode()
If the service returns an enum value that is not available in the current SDK version, trainingInputMode
will return TrainingInputMode.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available
from trainingInputModeAsString().
TrainingInputModepublic final String trainingInputModeAsString()
If the service returns an enum value that is not available in the current SDK version, trainingInputMode
will return TrainingInputMode.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available
from trainingInputModeAsString().
TrainingInputModepublic final boolean hasHyperParameters()
isEmpty() method on the property).
This is useful because the SDK will never return a null collection or map, but you may need to differentiate
between the service returning nothing (or null) and the service returning an empty collection or map. For
requests, this returns true if a value for the property was specified in the request builder, and false if a
value was not specified.public final Map<String,String> hyperParameters()
The hyperparameters used for the training job.
Attempts to modify the collection returned by this method will result in an UnsupportedOperationException.
This method will never return null. If you would like to know whether the service returned this field (so that
you can differentiate between null and empty), you can use the hasHyperParameters() method.
public final boolean hasInputDataConfig()
isEmpty() method on the property).
This is useful because the SDK will never return a null collection or map, but you may need to differentiate
between the service returning nothing (or null) and the service returning an empty collection or map. For
requests, this returns true if a value for the property was specified in the request builder, and false if a
value was not specified.public final List<Channel> inputDataConfig()
An array of Channel objects, each of which specifies an input source.
Attempts to modify the collection returned by this method will result in an UnsupportedOperationException.
This method will never return null. If you would like to know whether the service returned this field (so that
you can differentiate between null and empty), you can use the hasInputDataConfig() method.
Channel objects, each of which specifies an input source.public final OutputDataConfig outputDataConfig()
the path to the S3 bucket where you want to store model artifacts. Amazon SageMaker creates subfolders for the artifacts.
public final ResourceConfig resourceConfig()
The resources, including the ML compute instances and ML storage volumes, to use for model training.
public final StoppingCondition stoppingCondition()
Specifies a limit to how long a model training job can run. It also specifies how long a managed Spot training job has to complete. When the job reaches the time limit, Amazon SageMaker ends the training job. Use this API to cap model training costs.
To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts.
To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts.
public TrainingJobDefinition.Builder toBuilder()
toBuilder in interface ToCopyableBuilder<TrainingJobDefinition.Builder,TrainingJobDefinition>public static TrainingJobDefinition.Builder builder()
public static Class<? extends TrainingJobDefinition.Builder> serializableBuilderClass()
public final boolean equalsBySdkFields(Object obj)
equalsBySdkFields in interface SdkPojopublic final String toString()
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