com.amazonaws.services.lookoutforvision.model.StartModelRequest Maven / Gradle / Ivy
/*
* 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.lookoutforvision.model;
import java.io.Serializable;
import javax.annotation.Generated;
import com.amazonaws.AmazonWebServiceRequest;
/**
*
* @see AWS API
* Documentation
*/
@Generated("com.amazonaws:aws-java-sdk-code-generator")
public class StartModelRequest extends com.amazonaws.AmazonWebServiceRequest implements Serializable, Cloneable {
/**
*
* The name of the project that contains the model that you want to start.
*
*/
private String projectName;
/**
*
* The version of the model that you want to start.
*
*/
private String modelVersion;
/**
*
* The minimum number of inference units to use. A single inference unit represents 1 hour of processing. Use a
* higher number to increase the TPS throughput of your model. You are charged for the number of inference units
* that you use.
*
*/
private Integer minInferenceUnits;
/**
*
* ClientToken is an idempotency token that ensures a call to StartModel completes only once. You
* choose the value to pass. For example, An issue might prevent you from getting a response from
* StartModel. In this case, safely retry your call to StartModel by using the same
* ClientToken parameter value.
*
*
* If you don't supply a value for ClientToken, the AWS SDK you are using inserts a value for you. This
* prevents retries after a network error from making multiple start requests. You'll need to provide your own value
* for other use cases.
*
*
* An error occurs if the other input parameters are not the same as in the first request. Using a different value
* for ClientToken is considered a new call to StartModel. An idempotency token is active
* for 8 hours.
*
*/
private String clientToken;
/**
*
* The maximum number of inference units to use for auto-scaling the model. If you don't specify a value, Amazon
* Lookout for Vision doesn't auto-scale the model.
*
*/
private Integer maxInferenceUnits;
/**
*
* The name of the project that contains the model that you want to start.
*
*
* @param projectName
* The name of the project that contains the model that you want to start.
*/
public void setProjectName(String projectName) {
this.projectName = projectName;
}
/**
*
* The name of the project that contains the model that you want to start.
*
*
* @return The name of the project that contains the model that you want to start.
*/
public String getProjectName() {
return this.projectName;
}
/**
*
* The name of the project that contains the model that you want to start.
*
*
* @param projectName
* The name of the project that contains the model that you want to start.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public StartModelRequest withProjectName(String projectName) {
setProjectName(projectName);
return this;
}
/**
*
* The version of the model that you want to start.
*
*
* @param modelVersion
* The version of the model that you want to start.
*/
public void setModelVersion(String modelVersion) {
this.modelVersion = modelVersion;
}
/**
*
* The version of the model that you want to start.
*
*
* @return The version of the model that you want to start.
*/
public String getModelVersion() {
return this.modelVersion;
}
/**
*
* The version of the model that you want to start.
*
*
* @param modelVersion
* The version of the model that you want to start.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public StartModelRequest withModelVersion(String modelVersion) {
setModelVersion(modelVersion);
return this;
}
/**
*
* The minimum number of inference units to use. A single inference unit represents 1 hour of processing. Use a
* higher number to increase the TPS throughput of your model. You are charged for the number of inference units
* that you use.
*
*
* @param minInferenceUnits
* The minimum number of inference units to use. A single inference unit represents 1 hour of processing. Use
* a higher number to increase the TPS throughput of your model. You are charged for the number of inference
* units that you use.
*/
public void setMinInferenceUnits(Integer minInferenceUnits) {
this.minInferenceUnits = minInferenceUnits;
}
/**
*
* The minimum number of inference units to use. A single inference unit represents 1 hour of processing. Use a
* higher number to increase the TPS throughput of your model. You are charged for the number of inference units
* that you use.
*
*
* @return The minimum number of inference units to use. A single inference unit represents 1 hour of processing.
* Use a higher number to increase the TPS throughput of your model. You are charged for the number of
* inference units that you use.
*/
public Integer getMinInferenceUnits() {
return this.minInferenceUnits;
}
/**
*
* The minimum number of inference units to use. A single inference unit represents 1 hour of processing. Use a
* higher number to increase the TPS throughput of your model. You are charged for the number of inference units
* that you use.
*
*
* @param minInferenceUnits
* The minimum number of inference units to use. A single inference unit represents 1 hour of processing. Use
* a higher number to increase the TPS throughput of your model. You are charged for the number of inference
* units that you use.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public StartModelRequest withMinInferenceUnits(Integer minInferenceUnits) {
setMinInferenceUnits(minInferenceUnits);
return this;
}
/**
*
* ClientToken is an idempotency token that ensures a call to StartModel completes only once. You
* choose the value to pass. For example, An issue might prevent you from getting a response from
* StartModel. In this case, safely retry your call to StartModel by using the same
* ClientToken parameter value.
*
*
* If you don't supply a value for ClientToken, the AWS SDK you are using inserts a value for you. This
* prevents retries after a network error from making multiple start requests. You'll need to provide your own value
* for other use cases.
*
*
* An error occurs if the other input parameters are not the same as in the first request. Using a different value
* for ClientToken is considered a new call to StartModel. An idempotency token is active
* for 8 hours.
*
*
* @param clientToken
* ClientToken is an idempotency token that ensures a call to StartModel completes only once.
* You choose the value to pass. For example, An issue might prevent you from getting a response from
* StartModel. In this case, safely retry your call to StartModel by using the same
* ClientToken parameter value.
*
* If you don't supply a value for ClientToken, the AWS SDK you are using inserts a value for
* you. This prevents retries after a network error from making multiple start requests. You'll need to
* provide your own value for other use cases.
*
*
* An error occurs if the other input parameters are not the same as in the first request. Using a different
* value for ClientToken is considered a new call to StartModel. An idempotency
* token is active for 8 hours.
*/
public void setClientToken(String clientToken) {
this.clientToken = clientToken;
}
/**
*
* ClientToken is an idempotency token that ensures a call to StartModel completes only once. You
* choose the value to pass. For example, An issue might prevent you from getting a response from
* StartModel. In this case, safely retry your call to StartModel by using the same
* ClientToken parameter value.
*
*
* If you don't supply a value for ClientToken, the AWS SDK you are using inserts a value for you. This
* prevents retries after a network error from making multiple start requests. You'll need to provide your own value
* for other use cases.
*
*
* An error occurs if the other input parameters are not the same as in the first request. Using a different value
* for ClientToken is considered a new call to StartModel. An idempotency token is active
* for 8 hours.
*
*
* @return ClientToken is an idempotency token that ensures a call to StartModel completes only once.
* You choose the value to pass. For example, An issue might prevent you from getting a response from
* StartModel. In this case, safely retry your call to StartModel by using the
* same ClientToken parameter value.
*
* If you don't supply a value for ClientToken, the AWS SDK you are using inserts a value for
* you. This prevents retries after a network error from making multiple start requests. You'll need to
* provide your own value for other use cases.
*
*
* An error occurs if the other input parameters are not the same as in the first request. Using a different
* value for ClientToken is considered a new call to StartModel. An idempotency
* token is active for 8 hours.
*/
public String getClientToken() {
return this.clientToken;
}
/**
*
* ClientToken is an idempotency token that ensures a call to StartModel completes only once. You
* choose the value to pass. For example, An issue might prevent you from getting a response from
* StartModel. In this case, safely retry your call to StartModel by using the same
* ClientToken parameter value.
*
*
* If you don't supply a value for ClientToken, the AWS SDK you are using inserts a value for you. This
* prevents retries after a network error from making multiple start requests. You'll need to provide your own value
* for other use cases.
*
*
* An error occurs if the other input parameters are not the same as in the first request. Using a different value
* for ClientToken is considered a new call to StartModel. An idempotency token is active
* for 8 hours.
*
*
* @param clientToken
* ClientToken is an idempotency token that ensures a call to StartModel completes only once.
* You choose the value to pass. For example, An issue might prevent you from getting a response from
* StartModel. In this case, safely retry your call to StartModel by using the same
* ClientToken parameter value.
*
* If you don't supply a value for ClientToken, the AWS SDK you are using inserts a value for
* you. This prevents retries after a network error from making multiple start requests. You'll need to
* provide your own value for other use cases.
*
*
* An error occurs if the other input parameters are not the same as in the first request. Using a different
* value for ClientToken is considered a new call to StartModel. An idempotency
* token is active for 8 hours.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public StartModelRequest withClientToken(String clientToken) {
setClientToken(clientToken);
return this;
}
/**
*
* The maximum number of inference units to use for auto-scaling the model. If you don't specify a value, Amazon
* Lookout for Vision doesn't auto-scale the model.
*
*
* @param maxInferenceUnits
* The maximum number of inference units to use for auto-scaling the model. If you don't specify a value,
* Amazon Lookout for Vision doesn't auto-scale the model.
*/
public void setMaxInferenceUnits(Integer maxInferenceUnits) {
this.maxInferenceUnits = maxInferenceUnits;
}
/**
*
* The maximum number of inference units to use for auto-scaling the model. If you don't specify a value, Amazon
* Lookout for Vision doesn't auto-scale the model.
*
*
* @return The maximum number of inference units to use for auto-scaling the model. If you don't specify a value,
* Amazon Lookout for Vision doesn't auto-scale the model.
*/
public Integer getMaxInferenceUnits() {
return this.maxInferenceUnits;
}
/**
*
* The maximum number of inference units to use for auto-scaling the model. If you don't specify a value, Amazon
* Lookout for Vision doesn't auto-scale the model.
*
*
* @param maxInferenceUnits
* The maximum number of inference units to use for auto-scaling the model. If you don't specify a value,
* Amazon Lookout for Vision doesn't auto-scale the model.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public StartModelRequest withMaxInferenceUnits(Integer maxInferenceUnits) {
setMaxInferenceUnits(maxInferenceUnits);
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 (getProjectName() != null)
sb.append("ProjectName: ").append(getProjectName()).append(",");
if (getModelVersion() != null)
sb.append("ModelVersion: ").append(getModelVersion()).append(",");
if (getMinInferenceUnits() != null)
sb.append("MinInferenceUnits: ").append(getMinInferenceUnits()).append(",");
if (getClientToken() != null)
sb.append("ClientToken: ").append(getClientToken()).append(",");
if (getMaxInferenceUnits() != null)
sb.append("MaxInferenceUnits: ").append(getMaxInferenceUnits());
sb.append("}");
return sb.toString();
}
@Override
public boolean equals(Object obj) {
if (this == obj)
return true;
if (obj == null)
return false;
if (obj instanceof StartModelRequest == false)
return false;
StartModelRequest other = (StartModelRequest) obj;
if (other.getProjectName() == null ^ this.getProjectName() == null)
return false;
if (other.getProjectName() != null && other.getProjectName().equals(this.getProjectName()) == false)
return false;
if (other.getModelVersion() == null ^ this.getModelVersion() == null)
return false;
if (other.getModelVersion() != null && other.getModelVersion().equals(this.getModelVersion()) == false)
return false;
if (other.getMinInferenceUnits() == null ^ this.getMinInferenceUnits() == null)
return false;
if (other.getMinInferenceUnits() != null && other.getMinInferenceUnits().equals(this.getMinInferenceUnits()) == false)
return false;
if (other.getClientToken() == null ^ this.getClientToken() == null)
return false;
if (other.getClientToken() != null && other.getClientToken().equals(this.getClientToken()) == false)
return false;
if (other.getMaxInferenceUnits() == null ^ this.getMaxInferenceUnits() == null)
return false;
if (other.getMaxInferenceUnits() != null && other.getMaxInferenceUnits().equals(this.getMaxInferenceUnits()) == false)
return false;
return true;
}
@Override
public int hashCode() {
final int prime = 31;
int hashCode = 1;
hashCode = prime * hashCode + ((getProjectName() == null) ? 0 : getProjectName().hashCode());
hashCode = prime * hashCode + ((getModelVersion() == null) ? 0 : getModelVersion().hashCode());
hashCode = prime * hashCode + ((getMinInferenceUnits() == null) ? 0 : getMinInferenceUnits().hashCode());
hashCode = prime * hashCode + ((getClientToken() == null) ? 0 : getClientToken().hashCode());
hashCode = prime * hashCode + ((getMaxInferenceUnits() == null) ? 0 : getMaxInferenceUnits().hashCode());
return hashCode;
}
@Override
public StartModelRequest clone() {
return (StartModelRequest) super.clone();
}
}