@Generated(value="software.amazon.awssdk:codegen") public final class CustomModelTrainingParameters extends Object implements SdkPojo, Serializable, ToCopyableBuilder<CustomModelTrainingParameters.Builder,CustomModelTrainingParameters>
Contains custom model training parameters. See Custom models in Neptune ML.
| Modifier and Type | Class and Description |
|---|---|
static interface |
CustomModelTrainingParameters.Builder |
| Modifier and Type | Method and Description |
|---|---|
static CustomModelTrainingParameters.Builder |
builder() |
boolean |
equals(Object obj) |
boolean |
equalsBySdkFields(Object obj) |
<T> Optional<T> |
getValueForField(String fieldName,
Class<T> clazz) |
int |
hashCode() |
List<SdkField<?>> |
sdkFields() |
static Class<? extends CustomModelTrainingParameters.Builder> |
serializableBuilderClass() |
String |
sourceS3DirectoryPath()
The path to the Amazon S3 location where the Python module implementing your model is located.
|
CustomModelTrainingParameters.Builder |
toBuilder() |
String |
toString()
Returns a string representation of this object.
|
String |
trainingEntryPointScript()
The name of the entry point in your module of a script that performs model training and takes hyperparameters as
command-line arguments, including fixed hyperparameters.
|
String |
transformEntryPointScript()
The name of the entry point in your module of a script that should be run after the best model from the
hyperparameter search has been identified, to compute the model artifacts necessary for model deployment.
|
clone, finalize, getClass, notify, notifyAll, wait, wait, waitcopypublic final String sourceS3DirectoryPath()
The path to the Amazon S3 location where the Python module implementing your model is located. This must point to
a valid existing Amazon S3 location that contains, at a minimum, a training script, a transform script, and a
model-hpo-configuration.json file.
model-hpo-configuration.json file.public final String trainingEntryPointScript()
The name of the entry point in your module of a script that performs model training and takes hyperparameters as
command-line arguments, including fixed hyperparameters. The default is training.py.
training.py.public final String transformEntryPointScript()
The name of the entry point in your module of a script that should be run after the best model from the
hyperparameter search has been identified, to compute the model artifacts necessary for model deployment. It
should be able to run with no command-line arguments.The default is transform.py.
transform.py.public CustomModelTrainingParameters.Builder toBuilder()
toBuilder in interface ToCopyableBuilder<CustomModelTrainingParameters.Builder,CustomModelTrainingParameters>public static CustomModelTrainingParameters.Builder builder()
public static Class<? extends CustomModelTrainingParameters.Builder> serializableBuilderClass()
public final boolean equalsBySdkFields(Object obj)
equalsBySdkFields in interface SdkPojopublic final String toString()
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