software.amazon.awssdk.services.sagemaker.model.CreateAutoMlJobRequest Maven / Gradle / Ivy
/*
* Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with
* the License. A copy of the License is located at
*
* http://aws.amazon.com/apache2.0
*
* or in the "license" file accompanying this file. This file is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
* CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions
* and limitations under the License.
*/
package software.amazon.awssdk.services.sagemaker.model;
import java.util.Arrays;
import java.util.Collection;
import java.util.Collections;
import java.util.List;
import java.util.Objects;
import java.util.Optional;
import java.util.function.BiConsumer;
import java.util.function.Consumer;
import java.util.function.Function;
import java.util.stream.Collectors;
import java.util.stream.Stream;
import software.amazon.awssdk.annotations.Generated;
import software.amazon.awssdk.awscore.AwsRequestOverrideConfiguration;
import software.amazon.awssdk.core.SdkField;
import software.amazon.awssdk.core.SdkPojo;
import software.amazon.awssdk.core.protocol.MarshallLocation;
import software.amazon.awssdk.core.protocol.MarshallingType;
import software.amazon.awssdk.core.traits.ListTrait;
import software.amazon.awssdk.core.traits.LocationTrait;
import software.amazon.awssdk.core.util.DefaultSdkAutoConstructList;
import software.amazon.awssdk.core.util.SdkAutoConstructList;
import software.amazon.awssdk.utils.ToString;
import software.amazon.awssdk.utils.builder.CopyableBuilder;
import software.amazon.awssdk.utils.builder.ToCopyableBuilder;
/**
*/
@Generated("software.amazon.awssdk:codegen")
public final class CreateAutoMlJobRequest extends SageMakerRequest implements
ToCopyableBuilder {
private static final SdkField AUTO_ML_JOB_NAME_FIELD = SdkField. builder(MarshallingType.STRING)
.getter(getter(CreateAutoMlJobRequest::autoMLJobName)).setter(setter(Builder::autoMLJobName))
.traits(LocationTrait.builder().location(MarshallLocation.PAYLOAD).locationName("AutoMLJobName").build()).build();
private static final SdkField> INPUT_DATA_CONFIG_FIELD = SdkField
.> builder(MarshallingType.LIST)
.getter(getter(CreateAutoMlJobRequest::inputDataConfig))
.setter(setter(Builder::inputDataConfig))
.traits(LocationTrait.builder().location(MarshallLocation.PAYLOAD).locationName("InputDataConfig").build(),
ListTrait
.builder()
.memberLocationName(null)
.memberFieldInfo(
SdkField. builder(MarshallingType.SDK_POJO)
.constructor(AutoMLChannel::builder)
.traits(LocationTrait.builder().location(MarshallLocation.PAYLOAD)
.locationName("member").build()).build()).build()).build();
private static final SdkField OUTPUT_DATA_CONFIG_FIELD = SdkField
. builder(MarshallingType.SDK_POJO).getter(getter(CreateAutoMlJobRequest::outputDataConfig))
.setter(setter(Builder::outputDataConfig)).constructor(AutoMLOutputDataConfig::builder)
.traits(LocationTrait.builder().location(MarshallLocation.PAYLOAD).locationName("OutputDataConfig").build()).build();
private static final SdkField PROBLEM_TYPE_FIELD = SdkField. builder(MarshallingType.STRING)
.getter(getter(CreateAutoMlJobRequest::problemTypeAsString)).setter(setter(Builder::problemType))
.traits(LocationTrait.builder().location(MarshallLocation.PAYLOAD).locationName("ProblemType").build()).build();
private static final SdkField AUTO_ML_JOB_OBJECTIVE_FIELD = SdkField
. builder(MarshallingType.SDK_POJO).getter(getter(CreateAutoMlJobRequest::autoMLJobObjective))
.setter(setter(Builder::autoMLJobObjective)).constructor(AutoMLJobObjective::builder)
.traits(LocationTrait.builder().location(MarshallLocation.PAYLOAD).locationName("AutoMLJobObjective").build())
.build();
private static final SdkField AUTO_ML_JOB_CONFIG_FIELD = SdkField
. builder(MarshallingType.SDK_POJO).getter(getter(CreateAutoMlJobRequest::autoMLJobConfig))
.setter(setter(Builder::autoMLJobConfig)).constructor(AutoMLJobConfig::builder)
.traits(LocationTrait.builder().location(MarshallLocation.PAYLOAD).locationName("AutoMLJobConfig").build()).build();
private static final SdkField ROLE_ARN_FIELD = SdkField. builder(MarshallingType.STRING)
.getter(getter(CreateAutoMlJobRequest::roleArn)).setter(setter(Builder::roleArn))
.traits(LocationTrait.builder().location(MarshallLocation.PAYLOAD).locationName("RoleArn").build()).build();
private static final SdkField GENERATE_CANDIDATE_DEFINITIONS_ONLY_FIELD = SdkField
. builder(MarshallingType.BOOLEAN)
.getter(getter(CreateAutoMlJobRequest::generateCandidateDefinitionsOnly))
.setter(setter(Builder::generateCandidateDefinitionsOnly))
.traits(LocationTrait.builder().location(MarshallLocation.PAYLOAD).locationName("GenerateCandidateDefinitionsOnly")
.build()).build();
private static final SdkField> TAGS_FIELD = SdkField
.> builder(MarshallingType.LIST)
.getter(getter(CreateAutoMlJobRequest::tags))
.setter(setter(Builder::tags))
.traits(LocationTrait.builder().location(MarshallLocation.PAYLOAD).locationName("Tags").build(),
ListTrait
.builder()
.memberLocationName(null)
.memberFieldInfo(
SdkField. builder(MarshallingType.SDK_POJO)
.constructor(Tag::builder)
.traits(LocationTrait.builder().location(MarshallLocation.PAYLOAD)
.locationName("member").build()).build()).build()).build();
private static final List> SDK_FIELDS = Collections.unmodifiableList(Arrays.asList(AUTO_ML_JOB_NAME_FIELD,
INPUT_DATA_CONFIG_FIELD, OUTPUT_DATA_CONFIG_FIELD, PROBLEM_TYPE_FIELD, AUTO_ML_JOB_OBJECTIVE_FIELD,
AUTO_ML_JOB_CONFIG_FIELD, ROLE_ARN_FIELD, GENERATE_CANDIDATE_DEFINITIONS_ONLY_FIELD, TAGS_FIELD));
private final String autoMLJobName;
private final List inputDataConfig;
private final AutoMLOutputDataConfig outputDataConfig;
private final String problemType;
private final AutoMLJobObjective autoMLJobObjective;
private final AutoMLJobConfig autoMLJobConfig;
private final String roleArn;
private final Boolean generateCandidateDefinitionsOnly;
private final List tags;
private CreateAutoMlJobRequest(BuilderImpl builder) {
super(builder);
this.autoMLJobName = builder.autoMLJobName;
this.inputDataConfig = builder.inputDataConfig;
this.outputDataConfig = builder.outputDataConfig;
this.problemType = builder.problemType;
this.autoMLJobObjective = builder.autoMLJobObjective;
this.autoMLJobConfig = builder.autoMLJobConfig;
this.roleArn = builder.roleArn;
this.generateCandidateDefinitionsOnly = builder.generateCandidateDefinitionsOnly;
this.tags = builder.tags;
}
/**
*
* Identifies an Autopilot job. Must be unique to your account and is case-insensitive.
*
*
* @return Identifies an Autopilot job. Must be unique to your account and is case-insensitive.
*/
public String autoMLJobName() {
return autoMLJobName;
}
/**
* 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). For responses returned by the SDK, the sender is the AWS
* service.
*/
public boolean hasInputDataConfig() {
return inputDataConfig != null && !(inputDataConfig instanceof SdkAutoConstructList);
}
/**
*
* 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 {@link #hasInputDataConfig()} to see if a value was sent in this field.
*
*
* @return Similar to InputDataConfig supported by Tuning. Format(s) supported: CSV. Minimum of 1000 rows.
*/
public List inputDataConfig() {
return inputDataConfig;
}
/**
*
* Similar to OutputDataConfig supported by Tuning. Format(s) supported: CSV.
*
*
* @return Similar to OutputDataConfig supported by Tuning. Format(s) supported: CSV.
*/
public AutoMLOutputDataConfig outputDataConfig() {
return outputDataConfig;
}
/**
*
* 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, {@link #problemType} will
* return {@link ProblemType#UNKNOWN_TO_SDK_VERSION}. The raw value returned by the service is available from
* {@link #problemTypeAsString}.
*
*
* @return Defines the kind of preprocessing and algorithms intended for the candidates. Options include:
* BinaryClassification, MulticlassClassification, and Regression.
* @see ProblemType
*/
public ProblemType problemType() {
return ProblemType.fromValue(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, {@link #problemType} will
* return {@link ProblemType#UNKNOWN_TO_SDK_VERSION}. The raw value returned by the service is available from
* {@link #problemTypeAsString}.
*
*
* @return Defines the kind of preprocessing and algorithms intended for the candidates. Options include:
* BinaryClassification, MulticlassClassification, and Regression.
* @see ProblemType
*/
public String problemTypeAsString() {
return problemType;
}
/**
*
* Defines the objective of a an AutoML job. You provide a AutoMLJobObjective$MetricName and Autopilot infers
* whether to minimize or maximize it. If a metric is not specified, the most commonly used ObjectiveMetric for
* problem type is automaically selected.
*
*
* @return Defines the objective of a an AutoML job. You provide a AutoMLJobObjective$MetricName and
* Autopilot infers whether to minimize or maximize it. If a metric is not specified, the most commonly used
* ObjectiveMetric for problem type is automaically selected.
*/
public AutoMLJobObjective autoMLJobObjective() {
return autoMLJobObjective;
}
/**
*
* Contains CompletionCriteria and SecurityConfig.
*
*
* @return Contains CompletionCriteria and SecurityConfig.
*/
public AutoMLJobConfig autoMLJobConfig() {
return autoMLJobConfig;
}
/**
*
* The ARN of the role that is used to access the data.
*
*
* @return The ARN of the role that is used to access the data.
*/
public String roleArn() {
return roleArn;
}
/**
*
* Generates possible candidates without training a model. A candidate is a combination of data preprocessors,
* algorithms, and algorithm parameter settings.
*
*
* @return Generates possible candidates without training a model. A candidate is a combination of data
* preprocessors, algorithms, and algorithm parameter settings.
*/
public Boolean generateCandidateDefinitionsOnly() {
return generateCandidateDefinitionsOnly;
}
/**
* 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). For responses returned by the SDK, the sender is the AWS service.
*/
public boolean hasTags() {
return tags != null && !(tags instanceof SdkAutoConstructList);
}
/**
*
* 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 {@link #hasTags()} to see if a value was sent in this field.
*
*
* @return Each tag consists of a key and an optional value. Tag keys must be unique per resource.
*/
public List tags() {
return tags;
}
@Override
public Builder toBuilder() {
return new BuilderImpl(this);
}
public static Builder builder() {
return new BuilderImpl();
}
public static Class serializableBuilderClass() {
return BuilderImpl.class;
}
@Override
public int hashCode() {
int hashCode = 1;
hashCode = 31 * hashCode + super.hashCode();
hashCode = 31 * hashCode + Objects.hashCode(autoMLJobName());
hashCode = 31 * hashCode + Objects.hashCode(inputDataConfig());
hashCode = 31 * hashCode + Objects.hashCode(outputDataConfig());
hashCode = 31 * hashCode + Objects.hashCode(problemTypeAsString());
hashCode = 31 * hashCode + Objects.hashCode(autoMLJobObjective());
hashCode = 31 * hashCode + Objects.hashCode(autoMLJobConfig());
hashCode = 31 * hashCode + Objects.hashCode(roleArn());
hashCode = 31 * hashCode + Objects.hashCode(generateCandidateDefinitionsOnly());
hashCode = 31 * hashCode + Objects.hashCode(tags());
return hashCode;
}
@Override
public boolean equals(Object obj) {
return super.equals(obj) && equalsBySdkFields(obj);
}
@Override
public boolean equalsBySdkFields(Object obj) {
if (this == obj) {
return true;
}
if (obj == null) {
return false;
}
if (!(obj instanceof CreateAutoMlJobRequest)) {
return false;
}
CreateAutoMlJobRequest other = (CreateAutoMlJobRequest) obj;
return Objects.equals(autoMLJobName(), other.autoMLJobName())
&& Objects.equals(inputDataConfig(), other.inputDataConfig())
&& Objects.equals(outputDataConfig(), other.outputDataConfig())
&& Objects.equals(problemTypeAsString(), other.problemTypeAsString())
&& Objects.equals(autoMLJobObjective(), other.autoMLJobObjective())
&& Objects.equals(autoMLJobConfig(), other.autoMLJobConfig()) && Objects.equals(roleArn(), other.roleArn())
&& Objects.equals(generateCandidateDefinitionsOnly(), other.generateCandidateDefinitionsOnly())
&& Objects.equals(tags(), other.tags());
}
/**
* Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be
* redacted from this string using a placeholder value.
*/
@Override
public String toString() {
return ToString.builder("CreateAutoMlJobRequest").add("AutoMLJobName", autoMLJobName())
.add("InputDataConfig", inputDataConfig()).add("OutputDataConfig", outputDataConfig())
.add("ProblemType", problemTypeAsString()).add("AutoMLJobObjective", autoMLJobObjective())
.add("AutoMLJobConfig", autoMLJobConfig()).add("RoleArn", roleArn())
.add("GenerateCandidateDefinitionsOnly", generateCandidateDefinitionsOnly()).add("Tags", tags()).build();
}
public Optional getValueForField(String fieldName, Class clazz) {
switch (fieldName) {
case "AutoMLJobName":
return Optional.ofNullable(clazz.cast(autoMLJobName()));
case "InputDataConfig":
return Optional.ofNullable(clazz.cast(inputDataConfig()));
case "OutputDataConfig":
return Optional.ofNullable(clazz.cast(outputDataConfig()));
case "ProblemType":
return Optional.ofNullable(clazz.cast(problemTypeAsString()));
case "AutoMLJobObjective":
return Optional.ofNullable(clazz.cast(autoMLJobObjective()));
case "AutoMLJobConfig":
return Optional.ofNullable(clazz.cast(autoMLJobConfig()));
case "RoleArn":
return Optional.ofNullable(clazz.cast(roleArn()));
case "GenerateCandidateDefinitionsOnly":
return Optional.ofNullable(clazz.cast(generateCandidateDefinitionsOnly()));
case "Tags":
return Optional.ofNullable(clazz.cast(tags()));
default:
return Optional.empty();
}
}
@Override
public List> sdkFields() {
return SDK_FIELDS;
}
private static Function getter(Function g) {
return obj -> g.apply((CreateAutoMlJobRequest) obj);
}
private static BiConsumer setter(BiConsumer s) {
return (obj, val) -> s.accept((Builder) obj, val);
}
public interface Builder extends SageMakerRequest.Builder, SdkPojo, CopyableBuilder {
/**
*
* Identifies an Autopilot job. Must be unique to your account and is case-insensitive.
*
*
* @param autoMLJobName
* Identifies an Autopilot job. Must be unique to your account and is case-insensitive.
* @return Returns a reference to this object so that method calls can be chained together.
*/
Builder autoMLJobName(String autoMLJobName);
/**
*
* Similar to InputDataConfig supported by Tuning. Format(s) supported: CSV. Minimum of 1000 rows.
*
*
* @param inputDataConfig
* Similar to InputDataConfig supported by Tuning. Format(s) supported: CSV. Minimum of 1000 rows.
* @return Returns a reference to this object so that method calls can be chained together.
*/
Builder inputDataConfig(Collection inputDataConfig);
/**
*
* Similar to InputDataConfig supported by Tuning. Format(s) supported: CSV. Minimum of 1000 rows.
*
*
* @param inputDataConfig
* Similar to InputDataConfig supported by Tuning. Format(s) supported: CSV. Minimum of 1000 rows.
* @return Returns a reference to this object so that method calls can be chained together.
*/
Builder inputDataConfig(AutoMLChannel... inputDataConfig);
/**
*
* Similar to InputDataConfig supported by Tuning. Format(s) supported: CSV. Minimum of 1000 rows.
*
* This is a convenience that creates an instance of the {@link List.Builder} avoiding the need
* to create one manually via {@link List#builder()}.
*
* When the {@link Consumer} completes, {@link List.Builder#build()} is called immediately and
* its result is passed to {@link #inputDataConfig(List)}.
*
* @param inputDataConfig
* a consumer that will call methods on {@link List.Builder}
* @return Returns a reference to this object so that method calls can be chained together.
* @see #inputDataConfig(List)
*/
Builder inputDataConfig(Consumer... inputDataConfig);
/**
*
* Similar to OutputDataConfig supported by Tuning. Format(s) supported: CSV.
*
*
* @param outputDataConfig
* Similar to OutputDataConfig supported by Tuning. Format(s) supported: CSV.
* @return Returns a reference to this object so that method calls can be chained together.
*/
Builder outputDataConfig(AutoMLOutputDataConfig outputDataConfig);
/**
*
* Similar to OutputDataConfig supported by Tuning. Format(s) supported: CSV.
*
* This is a convenience that creates an instance of the {@link AutoMLOutputDataConfig.Builder} avoiding the
* need to create one manually via {@link AutoMLOutputDataConfig#builder()}.
*
* When the {@link Consumer} completes, {@link AutoMLOutputDataConfig.Builder#build()} is called immediately and
* its result is passed to {@link #outputDataConfig(AutoMLOutputDataConfig)}.
*
* @param outputDataConfig
* a consumer that will call methods on {@link AutoMLOutputDataConfig.Builder}
* @return Returns a reference to this object so that method calls can be chained together.
* @see #outputDataConfig(AutoMLOutputDataConfig)
*/
default Builder outputDataConfig(Consumer outputDataConfig) {
return outputDataConfig(AutoMLOutputDataConfig.builder().applyMutation(outputDataConfig).build());
}
/**
*
* Defines the kind of preprocessing and algorithms intended for the candidates. Options include:
* BinaryClassification, MulticlassClassification, and Regression.
*
*
* @param problemType
* Defines the kind of preprocessing and algorithms intended for the candidates. Options include:
* BinaryClassification, MulticlassClassification, and Regression.
* @see ProblemType
* @return Returns a reference to this object so that method calls can be chained together.
* @see ProblemType
*/
Builder problemType(String problemType);
/**
*
* Defines the kind of preprocessing and algorithms intended for the candidates. Options include:
* BinaryClassification, MulticlassClassification, and Regression.
*
*
* @param problemType
* Defines the kind of preprocessing and algorithms intended for the candidates. Options include:
* BinaryClassification, MulticlassClassification, and Regression.
* @see ProblemType
* @return Returns a reference to this object so that method calls can be chained together.
* @see ProblemType
*/
Builder problemType(ProblemType problemType);
/**
*
* Defines the objective of a an AutoML job. You provide a AutoMLJobObjective$MetricName and Autopilot
* infers whether to minimize or maximize it. If a metric is not specified, the most commonly used
* ObjectiveMetric for problem type is automaically selected.
*
*
* @param autoMLJobObjective
* Defines the objective of a an AutoML job. You provide a AutoMLJobObjective$MetricName and
* Autopilot infers whether to minimize or maximize it. If a metric is not specified, the most commonly
* used ObjectiveMetric for problem type is automaically selected.
* @return Returns a reference to this object so that method calls can be chained together.
*/
Builder autoMLJobObjective(AutoMLJobObjective autoMLJobObjective);
/**
*
* Defines the objective of a an AutoML job. You provide a AutoMLJobObjective$MetricName and Autopilot
* infers whether to minimize or maximize it. If a metric is not specified, the most commonly used
* ObjectiveMetric for problem type is automaically selected.
*
* This is a convenience that creates an instance of the {@link AutoMLJobObjective.Builder} avoiding the need to
* create one manually via {@link AutoMLJobObjective#builder()}.
*
* When the {@link Consumer} completes, {@link AutoMLJobObjective.Builder#build()} is called immediately and its
* result is passed to {@link #autoMLJobObjective(AutoMLJobObjective)}.
*
* @param autoMLJobObjective
* a consumer that will call methods on {@link AutoMLJobObjective.Builder}
* @return Returns a reference to this object so that method calls can be chained together.
* @see #autoMLJobObjective(AutoMLJobObjective)
*/
default Builder autoMLJobObjective(Consumer autoMLJobObjective) {
return autoMLJobObjective(AutoMLJobObjective.builder().applyMutation(autoMLJobObjective).build());
}
/**
*
* Contains CompletionCriteria and SecurityConfig.
*
*
* @param autoMLJobConfig
* Contains CompletionCriteria and SecurityConfig.
* @return Returns a reference to this object so that method calls can be chained together.
*/
Builder autoMLJobConfig(AutoMLJobConfig autoMLJobConfig);
/**
*
* Contains CompletionCriteria and SecurityConfig.
*
* This is a convenience that creates an instance of the {@link AutoMLJobConfig.Builder} avoiding the need to
* create one manually via {@link AutoMLJobConfig#builder()}.
*
* When the {@link Consumer} completes, {@link AutoMLJobConfig.Builder#build()} is called immediately and its
* result is passed to {@link #autoMLJobConfig(AutoMLJobConfig)}.
*
* @param autoMLJobConfig
* a consumer that will call methods on {@link AutoMLJobConfig.Builder}
* @return Returns a reference to this object so that method calls can be chained together.
* @see #autoMLJobConfig(AutoMLJobConfig)
*/
default Builder autoMLJobConfig(Consumer autoMLJobConfig) {
return autoMLJobConfig(AutoMLJobConfig.builder().applyMutation(autoMLJobConfig).build());
}
/**
*
* The ARN of the role that is used to access the data.
*
*
* @param roleArn
* The ARN of the role that is used to access the data.
* @return Returns a reference to this object so that method calls can be chained together.
*/
Builder roleArn(String roleArn);
/**
*
* Generates possible candidates without training a model. A candidate is a combination of data preprocessors,
* algorithms, and algorithm parameter settings.
*
*
* @param generateCandidateDefinitionsOnly
* Generates possible candidates without training a model. A candidate is a combination of data
* preprocessors, algorithms, and algorithm parameter settings.
* @return Returns a reference to this object so that method calls can be chained together.
*/
Builder generateCandidateDefinitionsOnly(Boolean generateCandidateDefinitionsOnly);
/**
*
* Each tag consists of a key and an optional value. Tag keys must be unique per resource.
*
*
* @param tags
* Each tag consists of a key and an optional value. Tag keys must be unique per resource.
* @return Returns a reference to this object so that method calls can be chained together.
*/
Builder tags(Collection tags);
/**
*
* Each tag consists of a key and an optional value. Tag keys must be unique per resource.
*
*
* @param tags
* Each tag consists of a key and an optional value. Tag keys must be unique per resource.
* @return Returns a reference to this object so that method calls can be chained together.
*/
Builder tags(Tag... tags);
/**
*
* Each tag consists of a key and an optional value. Tag keys must be unique per resource.
*
* This is a convenience that creates an instance of the {@link List.Builder} avoiding the need to create
* one manually via {@link List#builder()}.
*
* When the {@link Consumer} completes, {@link List.Builder#build()} is called immediately and its result
* is passed to {@link #tags(List)}.
*
* @param tags
* a consumer that will call methods on {@link List.Builder}
* @return Returns a reference to this object so that method calls can be chained together.
* @see #tags(List)
*/
Builder tags(Consumer... tags);
@Override
Builder overrideConfiguration(AwsRequestOverrideConfiguration overrideConfiguration);
@Override
Builder overrideConfiguration(Consumer builderConsumer);
}
static final class BuilderImpl extends SageMakerRequest.BuilderImpl implements Builder {
private String autoMLJobName;
private List inputDataConfig = DefaultSdkAutoConstructList.getInstance();
private AutoMLOutputDataConfig outputDataConfig;
private String problemType;
private AutoMLJobObjective autoMLJobObjective;
private AutoMLJobConfig autoMLJobConfig;
private String roleArn;
private Boolean generateCandidateDefinitionsOnly;
private List tags = DefaultSdkAutoConstructList.getInstance();
private BuilderImpl() {
}
private BuilderImpl(CreateAutoMlJobRequest model) {
super(model);
autoMLJobName(model.autoMLJobName);
inputDataConfig(model.inputDataConfig);
outputDataConfig(model.outputDataConfig);
problemType(model.problemType);
autoMLJobObjective(model.autoMLJobObjective);
autoMLJobConfig(model.autoMLJobConfig);
roleArn(model.roleArn);
generateCandidateDefinitionsOnly(model.generateCandidateDefinitionsOnly);
tags(model.tags);
}
public final String getAutoMLJobName() {
return autoMLJobName;
}
@Override
public final Builder autoMLJobName(String autoMLJobName) {
this.autoMLJobName = autoMLJobName;
return this;
}
public final void setAutoMLJobName(String autoMLJobName) {
this.autoMLJobName = autoMLJobName;
}
public final Collection getInputDataConfig() {
return inputDataConfig != null ? inputDataConfig.stream().map(AutoMLChannel::toBuilder).collect(Collectors.toList())
: null;
}
@Override
public final Builder inputDataConfig(Collection inputDataConfig) {
this.inputDataConfig = AutoMLInputDataConfigCopier.copy(inputDataConfig);
return this;
}
@Override
@SafeVarargs
public final Builder inputDataConfig(AutoMLChannel... inputDataConfig) {
inputDataConfig(Arrays.asList(inputDataConfig));
return this;
}
@Override
@SafeVarargs
public final Builder inputDataConfig(Consumer... inputDataConfig) {
inputDataConfig(Stream.of(inputDataConfig).map(c -> AutoMLChannel.builder().applyMutation(c).build())
.collect(Collectors.toList()));
return this;
}
public final void setInputDataConfig(Collection inputDataConfig) {
this.inputDataConfig = AutoMLInputDataConfigCopier.copyFromBuilder(inputDataConfig);
}
public final AutoMLOutputDataConfig.Builder getOutputDataConfig() {
return outputDataConfig != null ? outputDataConfig.toBuilder() : null;
}
@Override
public final Builder outputDataConfig(AutoMLOutputDataConfig outputDataConfig) {
this.outputDataConfig = outputDataConfig;
return this;
}
public final void setOutputDataConfig(AutoMLOutputDataConfig.BuilderImpl outputDataConfig) {
this.outputDataConfig = outputDataConfig != null ? outputDataConfig.build() : null;
}
public final String getProblemType() {
return problemType;
}
@Override
public final Builder problemType(String problemType) {
this.problemType = problemType;
return this;
}
@Override
public final Builder problemType(ProblemType problemType) {
this.problemType(problemType == null ? null : problemType.toString());
return this;
}
public final void setProblemType(String problemType) {
this.problemType = problemType;
}
public final AutoMLJobObjective.Builder getAutoMLJobObjective() {
return autoMLJobObjective != null ? autoMLJobObjective.toBuilder() : null;
}
@Override
public final Builder autoMLJobObjective(AutoMLJobObjective autoMLJobObjective) {
this.autoMLJobObjective = autoMLJobObjective;
return this;
}
public final void setAutoMLJobObjective(AutoMLJobObjective.BuilderImpl autoMLJobObjective) {
this.autoMLJobObjective = autoMLJobObjective != null ? autoMLJobObjective.build() : null;
}
public final AutoMLJobConfig.Builder getAutoMLJobConfig() {
return autoMLJobConfig != null ? autoMLJobConfig.toBuilder() : null;
}
@Override
public final Builder autoMLJobConfig(AutoMLJobConfig autoMLJobConfig) {
this.autoMLJobConfig = autoMLJobConfig;
return this;
}
public final void setAutoMLJobConfig(AutoMLJobConfig.BuilderImpl autoMLJobConfig) {
this.autoMLJobConfig = autoMLJobConfig != null ? autoMLJobConfig.build() : null;
}
public final String getRoleArn() {
return roleArn;
}
@Override
public final Builder roleArn(String roleArn) {
this.roleArn = roleArn;
return this;
}
public final void setRoleArn(String roleArn) {
this.roleArn = roleArn;
}
public final Boolean getGenerateCandidateDefinitionsOnly() {
return generateCandidateDefinitionsOnly;
}
@Override
public final Builder generateCandidateDefinitionsOnly(Boolean generateCandidateDefinitionsOnly) {
this.generateCandidateDefinitionsOnly = generateCandidateDefinitionsOnly;
return this;
}
public final void setGenerateCandidateDefinitionsOnly(Boolean generateCandidateDefinitionsOnly) {
this.generateCandidateDefinitionsOnly = generateCandidateDefinitionsOnly;
}
public final Collection getTags() {
return tags != null ? tags.stream().map(Tag::toBuilder).collect(Collectors.toList()) : null;
}
@Override
public final Builder tags(Collection tags) {
this.tags = TagListCopier.copy(tags);
return this;
}
@Override
@SafeVarargs
public final Builder tags(Tag... tags) {
tags(Arrays.asList(tags));
return this;
}
@Override
@SafeVarargs
public final Builder tags(Consumer... tags) {
tags(Stream.of(tags).map(c -> Tag.builder().applyMutation(c).build()).collect(Collectors.toList()));
return this;
}
public final void setTags(Collection tags) {
this.tags = TagListCopier.copyFromBuilder(tags);
}
@Override
public Builder overrideConfiguration(AwsRequestOverrideConfiguration overrideConfiguration) {
super.overrideConfiguration(overrideConfiguration);
return this;
}
@Override
public Builder overrideConfiguration(Consumer builderConsumer) {
super.overrideConfiguration(builderConsumer);
return this;
}
@Override
public CreateAutoMlJobRequest build() {
return new CreateAutoMlJobRequest(this);
}
@Override
public List> sdkFields() {
return SDK_FIELDS;
}
}
}
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