@Generated(value="software.amazon.awssdk:codegen") public final class CreateAutoMlJobRequest extends SageMakerRequest implements ToCopyableBuilder<CreateAutoMlJobRequest.Builder,CreateAutoMlJobRequest>
| Modifier and Type | Class and Description |
|---|---|
static interface |
CreateAutoMlJobRequest.Builder |
| Modifier and Type | Method and Description |
|---|---|
AutoMLJobConfig |
autoMLJobConfig()
Contains CompletionCriteria and SecurityConfig.
|
String |
autoMLJobName()
Identifies an AutoPilot job.
|
AutoMLJobObjective |
autoMLJobObjective()
Defines the job's objective.
|
static CreateAutoMlJobRequest.Builder |
builder() |
boolean |
equals(Object obj) |
boolean |
equalsBySdkFields(Object obj) |
Boolean |
generateCandidateDefinitionsOnly()
This will generate possible candidates without training a model.
|
<T> Optional<T> |
getValueForField(String fieldName,
Class<T> clazz) |
int |
hashCode() |
boolean |
hasInputDataConfig()
Returns true if the InputDataConfig property was specified by the sender (it may be empty), or false if the
sender did not specify the value (it will be empty).
|
boolean |
hasTags()
Returns true if the Tags property was specified by the sender (it may be empty), or false if the sender did not
specify the value (it will be empty).
|
List<AutoMLChannel> |
inputDataConfig()
Similar to InputDataConfig supported by Tuning.
|
AutoMLOutputDataConfig |
outputDataConfig()
Similar to OutputDataConfig supported by Tuning.
|
ProblemType |
problemType()
Defines the kind of preprocessing and algorithms intended for the candidates.
|
String |
problemTypeAsString()
Defines the kind of preprocessing and algorithms intended for the candidates.
|
String |
roleArn()
The ARN of the role that will be used to access the data.
|
List<SdkField<?>> |
sdkFields() |
static Class<? extends CreateAutoMlJobRequest.Builder> |
serializableBuilderClass() |
List<Tag> |
tags()
Each tag consists of a key and an optional value.
|
CreateAutoMlJobRequest.Builder |
toBuilder() |
String |
toString()
Returns a string representation of this object.
|
overrideConfigurationclone, finalize, getClass, notify, notifyAll, wait, wait, waitcopypublic String autoMLJobName()
Identifies an AutoPilot job. Must be unique to your account and is case-insensitive.
public boolean hasInputDataConfig()
public List<AutoMLChannel> inputDataConfig()
Similar to InputDataConfig supported by Tuning. Format(s) supported: CSV. Minimum of 1000 rows.
Attempts to modify the collection returned by this method will result in an UnsupportedOperationException.
You can use hasInputDataConfig() to see if a value was sent in this field.
public AutoMLOutputDataConfig outputDataConfig()
Similar to OutputDataConfig supported by Tuning. Format(s) supported: CSV.
public ProblemType problemType()
Defines the kind of preprocessing and algorithms intended for the candidates. Options include: BinaryClassification, MulticlassClassification, and Regression.
If the service returns an enum value that is not available in the current SDK version, problemType will
return ProblemType.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from
problemTypeAsString().
ProblemTypepublic String problemTypeAsString()
Defines the kind of preprocessing and algorithms intended for the candidates. Options include: BinaryClassification, MulticlassClassification, and Regression.
If the service returns an enum value that is not available in the current SDK version, problemType will
return ProblemType.UNKNOWN_TO_SDK_VERSION. The raw value returned by the service is available from
problemTypeAsString().
ProblemTypepublic AutoMLJobObjective autoMLJobObjective()
Defines the job's objective. You provide a MetricName and AutoML will infer minimize or maximize. If this is not provided, the most commonly used ObjectiveMetric for problem type will be selected.
public AutoMLJobConfig autoMLJobConfig()
Contains CompletionCriteria and SecurityConfig.
public String roleArn()
The ARN of the role that will be used to access the data.
public Boolean generateCandidateDefinitionsOnly()
This will generate possible candidates without training a model. A candidate is a combination of data preprocessors, algorithms, and algorithm parameter settings.
public boolean hasTags()
public List<Tag> tags()
Each tag consists of a key and an optional value. Tag keys must be unique per resource.
Attempts to modify the collection returned by this method will result in an UnsupportedOperationException.
You can use hasTags() to see if a value was sent in this field.
public CreateAutoMlJobRequest.Builder toBuilder()
toBuilder in interface ToCopyableBuilder<CreateAutoMlJobRequest.Builder,CreateAutoMlJobRequest>toBuilder in class SageMakerRequestpublic static CreateAutoMlJobRequest.Builder builder()
public static Class<? extends CreateAutoMlJobRequest.Builder> serializableBuilderClass()
public int hashCode()
hashCode in class AwsRequestpublic boolean equals(Object obj)
equals in class AwsRequestpublic boolean equalsBySdkFields(Object obj)
equalsBySdkFields in interface SdkPojopublic String toString()
public <T> Optional<T> getValueForField(String fieldName, Class<T> clazz)
getValueForField in class SdkRequestCopyright © 2020. All rights reserved.