com.amazonaws.services.sagemaker.model.RecommendationJobContainerConfig Maven / Gradle / Ivy
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/*
* Copyright 2019-2024 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 com.amazonaws.services.sagemaker.model;
import java.io.Serializable;
import javax.annotation.Generated;
import com.amazonaws.protocol.StructuredPojo;
import com.amazonaws.protocol.ProtocolMarshaller;
/**
*
* Specifies mandatory fields for running an Inference Recommender job directly in the CreateInferenceRecommendationsJob API. The fields specified in ContainerConfig override the
* corresponding fields in the model package. Use ContainerConfig if you want to specify these fields for
* the recommendation job but don't want to edit them in your model package.
*
*
* @see AWS API Documentation
*/
@Generated("com.amazonaws:aws-java-sdk-code-generator")
public class RecommendationJobContainerConfig implements Serializable, Cloneable, StructuredPojo {
/**
*
* The machine learning domain of the model and its components.
*
*
* Valid Values: COMPUTER_VISION | NATURAL_LANGUAGE_PROCESSING | MACHINE_LEARNING
*
*/
private String domain;
/**
*
* The machine learning task that the model accomplishes.
*
*
* Valid Values:
* IMAGE_CLASSIFICATION | OBJECT_DETECTION | TEXT_GENERATION | IMAGE_SEGMENTATION | FILL_MASK | CLASSIFICATION | REGRESSION | OTHER
*
*/
private String task;
/**
*
* The machine learning framework of the container image.
*
*
* Valid Values: TENSORFLOW | PYTORCH | XGBOOST | SAGEMAKER-SCIKIT-LEARN
*
*/
private String framework;
/**
*
* The framework version of the container image.
*
*/
private String frameworkVersion;
/**
*
* Specifies the SamplePayloadUrl and all other sample payload-related fields.
*
*/
private RecommendationJobPayloadConfig payloadConfig;
/**
*
* The name of a pre-trained machine learning model benchmarked by Amazon SageMaker Inference Recommender that
* matches your model.
*
*
* Valid Values:
* efficientnetb7 | unet | xgboost | faster-rcnn-resnet101 | nasnetlarge | vgg16 | inception-v3 | mask-rcnn | sagemaker-scikit-learn | densenet201-gluon | resnet18v2-gluon | xception | densenet201 | yolov4 | resnet152 | bert-base-cased | xceptionV1-keras | resnet50 | retinanet
*
*/
private String nearestModelName;
/**
*
* A list of the instance types that are used to generate inferences in real-time.
*
*/
private java.util.List supportedInstanceTypes;
/**
*
* The endpoint type to receive recommendations for. By default this is null, and the results of the inference
* recommendation job return a combined list of both real-time and serverless benchmarks. By specifying a value for
* this field, you can receive a longer list of benchmarks for the desired endpoint type.
*
*/
private String supportedEndpointType;
/**
*
* Specifies the name and shape of the expected data inputs for your trained model with a JSON dictionary form. This
* field is used for optimizing your model using SageMaker Neo. For more information, see DataInputConfig.
*
*/
private String dataInputConfig;
/**
*
* The supported MIME types for the output data.
*
*/
private java.util.List supportedResponseMIMETypes;
/**
*
* The machine learning domain of the model and its components.
*
*
* Valid Values: COMPUTER_VISION | NATURAL_LANGUAGE_PROCESSING | MACHINE_LEARNING
*
*
* @param domain
* The machine learning domain of the model and its components.
*
* Valid Values: COMPUTER_VISION | NATURAL_LANGUAGE_PROCESSING | MACHINE_LEARNING
*/
public void setDomain(String domain) {
this.domain = domain;
}
/**
*
* The machine learning domain of the model and its components.
*
*
* Valid Values: COMPUTER_VISION | NATURAL_LANGUAGE_PROCESSING | MACHINE_LEARNING
*
*
* @return The machine learning domain of the model and its components.
*
* Valid Values: COMPUTER_VISION | NATURAL_LANGUAGE_PROCESSING | MACHINE_LEARNING
*/
public String getDomain() {
return this.domain;
}
/**
*
* The machine learning domain of the model and its components.
*
*
* Valid Values: COMPUTER_VISION | NATURAL_LANGUAGE_PROCESSING | MACHINE_LEARNING
*
*
* @param domain
* The machine learning domain of the model and its components.
*
* Valid Values: COMPUTER_VISION | NATURAL_LANGUAGE_PROCESSING | MACHINE_LEARNING
* @return Returns a reference to this object so that method calls can be chained together.
*/
public RecommendationJobContainerConfig withDomain(String domain) {
setDomain(domain);
return this;
}
/**
*
* The machine learning task that the model accomplishes.
*
*
* Valid Values:
* IMAGE_CLASSIFICATION | OBJECT_DETECTION | TEXT_GENERATION | IMAGE_SEGMENTATION | FILL_MASK | CLASSIFICATION | REGRESSION | OTHER
*
*
* @param task
* The machine learning task that the model accomplishes.
*
* Valid Values:
* IMAGE_CLASSIFICATION | OBJECT_DETECTION | TEXT_GENERATION | IMAGE_SEGMENTATION | FILL_MASK | CLASSIFICATION | REGRESSION | OTHER
*/
public void setTask(String task) {
this.task = task;
}
/**
*
* The machine learning task that the model accomplishes.
*
*
* Valid Values:
* IMAGE_CLASSIFICATION | OBJECT_DETECTION | TEXT_GENERATION | IMAGE_SEGMENTATION | FILL_MASK | CLASSIFICATION | REGRESSION | OTHER
*
*
* @return The machine learning task that the model accomplishes.
*
* Valid Values:
* IMAGE_CLASSIFICATION | OBJECT_DETECTION | TEXT_GENERATION | IMAGE_SEGMENTATION | FILL_MASK | CLASSIFICATION | REGRESSION | OTHER
*/
public String getTask() {
return this.task;
}
/**
*
* The machine learning task that the model accomplishes.
*
*
* Valid Values:
* IMAGE_CLASSIFICATION | OBJECT_DETECTION | TEXT_GENERATION | IMAGE_SEGMENTATION | FILL_MASK | CLASSIFICATION | REGRESSION | OTHER
*
*
* @param task
* The machine learning task that the model accomplishes.
*
* Valid Values:
* IMAGE_CLASSIFICATION | OBJECT_DETECTION | TEXT_GENERATION | IMAGE_SEGMENTATION | FILL_MASK | CLASSIFICATION | REGRESSION | OTHER
* @return Returns a reference to this object so that method calls can be chained together.
*/
public RecommendationJobContainerConfig withTask(String task) {
setTask(task);
return this;
}
/**
*
* The machine learning framework of the container image.
*
*
* Valid Values: TENSORFLOW | PYTORCH | XGBOOST | SAGEMAKER-SCIKIT-LEARN
*
*
* @param framework
* The machine learning framework of the container image.
*
* Valid Values: TENSORFLOW | PYTORCH | XGBOOST | SAGEMAKER-SCIKIT-LEARN
*/
public void setFramework(String framework) {
this.framework = framework;
}
/**
*
* The machine learning framework of the container image.
*
*
* Valid Values: TENSORFLOW | PYTORCH | XGBOOST | SAGEMAKER-SCIKIT-LEARN
*
*
* @return The machine learning framework of the container image.
*
* Valid Values: TENSORFLOW | PYTORCH | XGBOOST | SAGEMAKER-SCIKIT-LEARN
*/
public String getFramework() {
return this.framework;
}
/**
*
* The machine learning framework of the container image.
*
*
* Valid Values: TENSORFLOW | PYTORCH | XGBOOST | SAGEMAKER-SCIKIT-LEARN
*
*
* @param framework
* The machine learning framework of the container image.
*
* Valid Values: TENSORFLOW | PYTORCH | XGBOOST | SAGEMAKER-SCIKIT-LEARN
* @return Returns a reference to this object so that method calls can be chained together.
*/
public RecommendationJobContainerConfig withFramework(String framework) {
setFramework(framework);
return this;
}
/**
*
* The framework version of the container image.
*
*
* @param frameworkVersion
* The framework version of the container image.
*/
public void setFrameworkVersion(String frameworkVersion) {
this.frameworkVersion = frameworkVersion;
}
/**
*
* The framework version of the container image.
*
*
* @return The framework version of the container image.
*/
public String getFrameworkVersion() {
return this.frameworkVersion;
}
/**
*
* The framework version of the container image.
*
*
* @param frameworkVersion
* The framework version of the container image.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public RecommendationJobContainerConfig withFrameworkVersion(String frameworkVersion) {
setFrameworkVersion(frameworkVersion);
return this;
}
/**
*
* Specifies the SamplePayloadUrl and all other sample payload-related fields.
*
*
* @param payloadConfig
* Specifies the SamplePayloadUrl and all other sample payload-related fields.
*/
public void setPayloadConfig(RecommendationJobPayloadConfig payloadConfig) {
this.payloadConfig = payloadConfig;
}
/**
*
* Specifies the SamplePayloadUrl and all other sample payload-related fields.
*
*
* @return Specifies the SamplePayloadUrl and all other sample payload-related fields.
*/
public RecommendationJobPayloadConfig getPayloadConfig() {
return this.payloadConfig;
}
/**
*
* Specifies the SamplePayloadUrl and all other sample payload-related fields.
*
*
* @param payloadConfig
* Specifies the SamplePayloadUrl and all other sample payload-related fields.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public RecommendationJobContainerConfig withPayloadConfig(RecommendationJobPayloadConfig payloadConfig) {
setPayloadConfig(payloadConfig);
return this;
}
/**
*
* The name of a pre-trained machine learning model benchmarked by Amazon SageMaker Inference Recommender that
* matches your model.
*
*
* Valid Values:
* efficientnetb7 | unet | xgboost | faster-rcnn-resnet101 | nasnetlarge | vgg16 | inception-v3 | mask-rcnn | sagemaker-scikit-learn | densenet201-gluon | resnet18v2-gluon | xception | densenet201 | yolov4 | resnet152 | bert-base-cased | xceptionV1-keras | resnet50 | retinanet
*
*
* @param nearestModelName
* The name of a pre-trained machine learning model benchmarked by Amazon SageMaker Inference Recommender
* that matches your model.
*
* Valid Values:
* efficientnetb7 | unet | xgboost | faster-rcnn-resnet101 | nasnetlarge | vgg16 | inception-v3 | mask-rcnn | sagemaker-scikit-learn | densenet201-gluon | resnet18v2-gluon | xception | densenet201 | yolov4 | resnet152 | bert-base-cased | xceptionV1-keras | resnet50 | retinanet
*/
public void setNearestModelName(String nearestModelName) {
this.nearestModelName = nearestModelName;
}
/**
*
* The name of a pre-trained machine learning model benchmarked by Amazon SageMaker Inference Recommender that
* matches your model.
*
*
* Valid Values:
* efficientnetb7 | unet | xgboost | faster-rcnn-resnet101 | nasnetlarge | vgg16 | inception-v3 | mask-rcnn | sagemaker-scikit-learn | densenet201-gluon | resnet18v2-gluon | xception | densenet201 | yolov4 | resnet152 | bert-base-cased | xceptionV1-keras | resnet50 | retinanet
*
*
* @return The name of a pre-trained machine learning model benchmarked by Amazon SageMaker Inference Recommender
* that matches your model.
*
* Valid Values:
* efficientnetb7 | unet | xgboost | faster-rcnn-resnet101 | nasnetlarge | vgg16 | inception-v3 | mask-rcnn | sagemaker-scikit-learn | densenet201-gluon | resnet18v2-gluon | xception | densenet201 | yolov4 | resnet152 | bert-base-cased | xceptionV1-keras | resnet50 | retinanet
*/
public String getNearestModelName() {
return this.nearestModelName;
}
/**
*
* The name of a pre-trained machine learning model benchmarked by Amazon SageMaker Inference Recommender that
* matches your model.
*
*
* Valid Values:
* efficientnetb7 | unet | xgboost | faster-rcnn-resnet101 | nasnetlarge | vgg16 | inception-v3 | mask-rcnn | sagemaker-scikit-learn | densenet201-gluon | resnet18v2-gluon | xception | densenet201 | yolov4 | resnet152 | bert-base-cased | xceptionV1-keras | resnet50 | retinanet
*
*
* @param nearestModelName
* The name of a pre-trained machine learning model benchmarked by Amazon SageMaker Inference Recommender
* that matches your model.
*
* Valid Values:
* efficientnetb7 | unet | xgboost | faster-rcnn-resnet101 | nasnetlarge | vgg16 | inception-v3 | mask-rcnn | sagemaker-scikit-learn | densenet201-gluon | resnet18v2-gluon | xception | densenet201 | yolov4 | resnet152 | bert-base-cased | xceptionV1-keras | resnet50 | retinanet
* @return Returns a reference to this object so that method calls can be chained together.
*/
public RecommendationJobContainerConfig withNearestModelName(String nearestModelName) {
setNearestModelName(nearestModelName);
return this;
}
/**
*
* A list of the instance types that are used to generate inferences in real-time.
*
*
* @return A list of the instance types that are used to generate inferences in real-time.
*/
public java.util.List getSupportedInstanceTypes() {
return supportedInstanceTypes;
}
/**
*
* A list of the instance types that are used to generate inferences in real-time.
*
*
* @param supportedInstanceTypes
* A list of the instance types that are used to generate inferences in real-time.
*/
public void setSupportedInstanceTypes(java.util.Collection supportedInstanceTypes) {
if (supportedInstanceTypes == null) {
this.supportedInstanceTypes = null;
return;
}
this.supportedInstanceTypes = new java.util.ArrayList(supportedInstanceTypes);
}
/**
*
* A list of the instance types that are used to generate inferences in real-time.
*
*
* NOTE: This method appends the values to the existing list (if any). Use
* {@link #setSupportedInstanceTypes(java.util.Collection)} or
* {@link #withSupportedInstanceTypes(java.util.Collection)} if you want to override the existing values.
*
*
* @param supportedInstanceTypes
* A list of the instance types that are used to generate inferences in real-time.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public RecommendationJobContainerConfig withSupportedInstanceTypes(String... supportedInstanceTypes) {
if (this.supportedInstanceTypes == null) {
setSupportedInstanceTypes(new java.util.ArrayList(supportedInstanceTypes.length));
}
for (String ele : supportedInstanceTypes) {
this.supportedInstanceTypes.add(ele);
}
return this;
}
/**
*
* A list of the instance types that are used to generate inferences in real-time.
*
*
* @param supportedInstanceTypes
* A list of the instance types that are used to generate inferences in real-time.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public RecommendationJobContainerConfig withSupportedInstanceTypes(java.util.Collection supportedInstanceTypes) {
setSupportedInstanceTypes(supportedInstanceTypes);
return this;
}
/**
*
* The endpoint type to receive recommendations for. By default this is null, and the results of the inference
* recommendation job return a combined list of both real-time and serverless benchmarks. By specifying a value for
* this field, you can receive a longer list of benchmarks for the desired endpoint type.
*
*
* @param supportedEndpointType
* The endpoint type to receive recommendations for. By default this is null, and the results of the
* inference recommendation job return a combined list of both real-time and serverless benchmarks. By
* specifying a value for this field, you can receive a longer list of benchmarks for the desired endpoint
* type.
* @see RecommendationJobSupportedEndpointType
*/
public void setSupportedEndpointType(String supportedEndpointType) {
this.supportedEndpointType = supportedEndpointType;
}
/**
*
* The endpoint type to receive recommendations for. By default this is null, and the results of the inference
* recommendation job return a combined list of both real-time and serverless benchmarks. By specifying a value for
* this field, you can receive a longer list of benchmarks for the desired endpoint type.
*
*
* @return The endpoint type to receive recommendations for. By default this is null, and the results of the
* inference recommendation job return a combined list of both real-time and serverless benchmarks. By
* specifying a value for this field, you can receive a longer list of benchmarks for the desired endpoint
* type.
* @see RecommendationJobSupportedEndpointType
*/
public String getSupportedEndpointType() {
return this.supportedEndpointType;
}
/**
*
* The endpoint type to receive recommendations for. By default this is null, and the results of the inference
* recommendation job return a combined list of both real-time and serverless benchmarks. By specifying a value for
* this field, you can receive a longer list of benchmarks for the desired endpoint type.
*
*
* @param supportedEndpointType
* The endpoint type to receive recommendations for. By default this is null, and the results of the
* inference recommendation job return a combined list of both real-time and serverless benchmarks. By
* specifying a value for this field, you can receive a longer list of benchmarks for the desired endpoint
* type.
* @return Returns a reference to this object so that method calls can be chained together.
* @see RecommendationJobSupportedEndpointType
*/
public RecommendationJobContainerConfig withSupportedEndpointType(String supportedEndpointType) {
setSupportedEndpointType(supportedEndpointType);
return this;
}
/**
*
* The endpoint type to receive recommendations for. By default this is null, and the results of the inference
* recommendation job return a combined list of both real-time and serverless benchmarks. By specifying a value for
* this field, you can receive a longer list of benchmarks for the desired endpoint type.
*
*
* @param supportedEndpointType
* The endpoint type to receive recommendations for. By default this is null, and the results of the
* inference recommendation job return a combined list of both real-time and serverless benchmarks. By
* specifying a value for this field, you can receive a longer list of benchmarks for the desired endpoint
* type.
* @return Returns a reference to this object so that method calls can be chained together.
* @see RecommendationJobSupportedEndpointType
*/
public RecommendationJobContainerConfig withSupportedEndpointType(RecommendationJobSupportedEndpointType supportedEndpointType) {
this.supportedEndpointType = supportedEndpointType.toString();
return this;
}
/**
*
* Specifies the name and shape of the expected data inputs for your trained model with a JSON dictionary form. This
* field is used for optimizing your model using SageMaker Neo. For more information, see DataInputConfig.
*
*
* @param dataInputConfig
* Specifies the name and shape of the expected data inputs for your trained model with a JSON dictionary
* form. This field is used for optimizing your model using SageMaker Neo. For more information, see DataInputConfig.
*/
public void setDataInputConfig(String dataInputConfig) {
this.dataInputConfig = dataInputConfig;
}
/**
*
* Specifies the name and shape of the expected data inputs for your trained model with a JSON dictionary form. This
* field is used for optimizing your model using SageMaker Neo. For more information, see DataInputConfig.
*
*
* @return Specifies the name and shape of the expected data inputs for your trained model with a JSON dictionary
* form. This field is used for optimizing your model using SageMaker Neo. For more information, see DataInputConfig.
*/
public String getDataInputConfig() {
return this.dataInputConfig;
}
/**
*
* Specifies the name and shape of the expected data inputs for your trained model with a JSON dictionary form. This
* field is used for optimizing your model using SageMaker Neo. For more information, see DataInputConfig.
*
*
* @param dataInputConfig
* Specifies the name and shape of the expected data inputs for your trained model with a JSON dictionary
* form. This field is used for optimizing your model using SageMaker Neo. For more information, see DataInputConfig.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public RecommendationJobContainerConfig withDataInputConfig(String dataInputConfig) {
setDataInputConfig(dataInputConfig);
return this;
}
/**
*
* The supported MIME types for the output data.
*
*
* @return The supported MIME types for the output data.
*/
public java.util.List getSupportedResponseMIMETypes() {
return supportedResponseMIMETypes;
}
/**
*
* The supported MIME types for the output data.
*
*
* @param supportedResponseMIMETypes
* The supported MIME types for the output data.
*/
public void setSupportedResponseMIMETypes(java.util.Collection supportedResponseMIMETypes) {
if (supportedResponseMIMETypes == null) {
this.supportedResponseMIMETypes = null;
return;
}
this.supportedResponseMIMETypes = new java.util.ArrayList(supportedResponseMIMETypes);
}
/**
*
* The supported MIME types for the output data.
*
*
* NOTE: This method appends the values to the existing list (if any). Use
* {@link #setSupportedResponseMIMETypes(java.util.Collection)} or
* {@link #withSupportedResponseMIMETypes(java.util.Collection)} if you want to override the existing values.
*
*
* @param supportedResponseMIMETypes
* The supported MIME types for the output data.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public RecommendationJobContainerConfig withSupportedResponseMIMETypes(String... supportedResponseMIMETypes) {
if (this.supportedResponseMIMETypes == null) {
setSupportedResponseMIMETypes(new java.util.ArrayList(supportedResponseMIMETypes.length));
}
for (String ele : supportedResponseMIMETypes) {
this.supportedResponseMIMETypes.add(ele);
}
return this;
}
/**
*
* The supported MIME types for the output data.
*
*
* @param supportedResponseMIMETypes
* The supported MIME types for the output data.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public RecommendationJobContainerConfig withSupportedResponseMIMETypes(java.util.Collection supportedResponseMIMETypes) {
setSupportedResponseMIMETypes(supportedResponseMIMETypes);
return this;
}
/**
* 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.
*
* @return A string representation of this object.
*
* @see java.lang.Object#toString()
*/
@Override
public String toString() {
StringBuilder sb = new StringBuilder();
sb.append("{");
if (getDomain() != null)
sb.append("Domain: ").append(getDomain()).append(",");
if (getTask() != null)
sb.append("Task: ").append(getTask()).append(",");
if (getFramework() != null)
sb.append("Framework: ").append(getFramework()).append(",");
if (getFrameworkVersion() != null)
sb.append("FrameworkVersion: ").append(getFrameworkVersion()).append(",");
if (getPayloadConfig() != null)
sb.append("PayloadConfig: ").append(getPayloadConfig()).append(",");
if (getNearestModelName() != null)
sb.append("NearestModelName: ").append(getNearestModelName()).append(",");
if (getSupportedInstanceTypes() != null)
sb.append("SupportedInstanceTypes: ").append(getSupportedInstanceTypes()).append(",");
if (getSupportedEndpointType() != null)
sb.append("SupportedEndpointType: ").append(getSupportedEndpointType()).append(",");
if (getDataInputConfig() != null)
sb.append("DataInputConfig: ").append(getDataInputConfig()).append(",");
if (getSupportedResponseMIMETypes() != null)
sb.append("SupportedResponseMIMETypes: ").append(getSupportedResponseMIMETypes());
sb.append("}");
return sb.toString();
}
@Override
public boolean equals(Object obj) {
if (this == obj)
return true;
if (obj == null)
return false;
if (obj instanceof RecommendationJobContainerConfig == false)
return false;
RecommendationJobContainerConfig other = (RecommendationJobContainerConfig) obj;
if (other.getDomain() == null ^ this.getDomain() == null)
return false;
if (other.getDomain() != null && other.getDomain().equals(this.getDomain()) == false)
return false;
if (other.getTask() == null ^ this.getTask() == null)
return false;
if (other.getTask() != null && other.getTask().equals(this.getTask()) == false)
return false;
if (other.getFramework() == null ^ this.getFramework() == null)
return false;
if (other.getFramework() != null && other.getFramework().equals(this.getFramework()) == false)
return false;
if (other.getFrameworkVersion() == null ^ this.getFrameworkVersion() == null)
return false;
if (other.getFrameworkVersion() != null && other.getFrameworkVersion().equals(this.getFrameworkVersion()) == false)
return false;
if (other.getPayloadConfig() == null ^ this.getPayloadConfig() == null)
return false;
if (other.getPayloadConfig() != null && other.getPayloadConfig().equals(this.getPayloadConfig()) == false)
return false;
if (other.getNearestModelName() == null ^ this.getNearestModelName() == null)
return false;
if (other.getNearestModelName() != null && other.getNearestModelName().equals(this.getNearestModelName()) == false)
return false;
if (other.getSupportedInstanceTypes() == null ^ this.getSupportedInstanceTypes() == null)
return false;
if (other.getSupportedInstanceTypes() != null && other.getSupportedInstanceTypes().equals(this.getSupportedInstanceTypes()) == false)
return false;
if (other.getSupportedEndpointType() == null ^ this.getSupportedEndpointType() == null)
return false;
if (other.getSupportedEndpointType() != null && other.getSupportedEndpointType().equals(this.getSupportedEndpointType()) == false)
return false;
if (other.getDataInputConfig() == null ^ this.getDataInputConfig() == null)
return false;
if (other.getDataInputConfig() != null && other.getDataInputConfig().equals(this.getDataInputConfig()) == false)
return false;
if (other.getSupportedResponseMIMETypes() == null ^ this.getSupportedResponseMIMETypes() == null)
return false;
if (other.getSupportedResponseMIMETypes() != null && other.getSupportedResponseMIMETypes().equals(this.getSupportedResponseMIMETypes()) == false)
return false;
return true;
}
@Override
public int hashCode() {
final int prime = 31;
int hashCode = 1;
hashCode = prime * hashCode + ((getDomain() == null) ? 0 : getDomain().hashCode());
hashCode = prime * hashCode + ((getTask() == null) ? 0 : getTask().hashCode());
hashCode = prime * hashCode + ((getFramework() == null) ? 0 : getFramework().hashCode());
hashCode = prime * hashCode + ((getFrameworkVersion() == null) ? 0 : getFrameworkVersion().hashCode());
hashCode = prime * hashCode + ((getPayloadConfig() == null) ? 0 : getPayloadConfig().hashCode());
hashCode = prime * hashCode + ((getNearestModelName() == null) ? 0 : getNearestModelName().hashCode());
hashCode = prime * hashCode + ((getSupportedInstanceTypes() == null) ? 0 : getSupportedInstanceTypes().hashCode());
hashCode = prime * hashCode + ((getSupportedEndpointType() == null) ? 0 : getSupportedEndpointType().hashCode());
hashCode = prime * hashCode + ((getDataInputConfig() == null) ? 0 : getDataInputConfig().hashCode());
hashCode = prime * hashCode + ((getSupportedResponseMIMETypes() == null) ? 0 : getSupportedResponseMIMETypes().hashCode());
return hashCode;
}
@Override
public RecommendationJobContainerConfig clone() {
try {
return (RecommendationJobContainerConfig) super.clone();
} catch (CloneNotSupportedException e) {
throw new IllegalStateException("Got a CloneNotSupportedException from Object.clone() " + "even though we're Cloneable!", e);
}
}
@com.amazonaws.annotation.SdkInternalApi
@Override
public void marshall(ProtocolMarshaller protocolMarshaller) {
com.amazonaws.services.sagemaker.model.transform.RecommendationJobContainerConfigMarshaller.getInstance().marshall(this, protocolMarshaller);
}
}