com.amazonaws.services.lookoutequipment.model.ImportModelVersionRequest Maven / Gradle / Ivy
Show all versions of aws-java-sdk-lookoutequipment Show documentation
/*
* Copyright 2018-2023 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.lookoutequipment.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 ImportModelVersionRequest extends com.amazonaws.AmazonWebServiceRequest implements Serializable, Cloneable {
/**
*
* The Amazon Resource Name (ARN) of the model version to import.
*
*/
private String sourceModelVersionArn;
/**
*
* The name for the machine learning model to be created. If the model already exists, Amazon Lookout for Equipment
* creates a new version. If you do not specify this field, it is filled with the name of the source model.
*
*/
private String modelName;
/**
*
* The name of the dataset for the machine learning model being imported.
*
*/
private String datasetName;
private LabelsInputConfiguration labelsInputConfiguration;
/**
*
* A unique identifier for the request. If you do not set the client request token, Amazon Lookout for Equipment
* generates one.
*
*/
private String clientToken;
/**
*
* The Amazon Resource Name (ARN) of a role with permission to access the data source being used to create the
* machine learning model.
*
*/
private String roleArn;
/**
*
* Provides the identifier of the KMS key key used to encrypt model data by Amazon Lookout for Equipment.
*
*/
private String serverSideKmsKeyId;
/**
*
* The tags associated with the machine learning model to be created.
*
*/
private java.util.List tags;
/**
*
* Indicates how to import the accumulated inference data when a model version is imported. The possible values are
* as follows:
*
*
* -
*
* NO_IMPORT – Don't import the data.
*
*
* -
*
* ADD_WHEN_EMPTY – Only import the data from the source model if there is no existing data in the target model.
*
*
* -
*
* OVERWRITE – Import the data from the source model and overwrite the existing data in the target model.
*
*
*
*/
private String inferenceDataImportStrategy;
/**
*
* The Amazon Resource Name (ARN) of the model version to import.
*
*
* @param sourceModelVersionArn
* The Amazon Resource Name (ARN) of the model version to import.
*/
public void setSourceModelVersionArn(String sourceModelVersionArn) {
this.sourceModelVersionArn = sourceModelVersionArn;
}
/**
*
* The Amazon Resource Name (ARN) of the model version to import.
*
*
* @return The Amazon Resource Name (ARN) of the model version to import.
*/
public String getSourceModelVersionArn() {
return this.sourceModelVersionArn;
}
/**
*
* The Amazon Resource Name (ARN) of the model version to import.
*
*
* @param sourceModelVersionArn
* The Amazon Resource Name (ARN) of the model version to import.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public ImportModelVersionRequest withSourceModelVersionArn(String sourceModelVersionArn) {
setSourceModelVersionArn(sourceModelVersionArn);
return this;
}
/**
*
* The name for the machine learning model to be created. If the model already exists, Amazon Lookout for Equipment
* creates a new version. If you do not specify this field, it is filled with the name of the source model.
*
*
* @param modelName
* The name for the machine learning model to be created. If the model already exists, Amazon Lookout for
* Equipment creates a new version. If you do not specify this field, it is filled with the name of the
* source model.
*/
public void setModelName(String modelName) {
this.modelName = modelName;
}
/**
*
* The name for the machine learning model to be created. If the model already exists, Amazon Lookout for Equipment
* creates a new version. If you do not specify this field, it is filled with the name of the source model.
*
*
* @return The name for the machine learning model to be created. If the model already exists, Amazon Lookout for
* Equipment creates a new version. If you do not specify this field, it is filled with the name of the
* source model.
*/
public String getModelName() {
return this.modelName;
}
/**
*
* The name for the machine learning model to be created. If the model already exists, Amazon Lookout for Equipment
* creates a new version. If you do not specify this field, it is filled with the name of the source model.
*
*
* @param modelName
* The name for the machine learning model to be created. If the model already exists, Amazon Lookout for
* Equipment creates a new version. If you do not specify this field, it is filled with the name of the
* source model.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public ImportModelVersionRequest withModelName(String modelName) {
setModelName(modelName);
return this;
}
/**
*
* The name of the dataset for the machine learning model being imported.
*
*
* @param datasetName
* The name of the dataset for the machine learning model being imported.
*/
public void setDatasetName(String datasetName) {
this.datasetName = datasetName;
}
/**
*
* The name of the dataset for the machine learning model being imported.
*
*
* @return The name of the dataset for the machine learning model being imported.
*/
public String getDatasetName() {
return this.datasetName;
}
/**
*
* The name of the dataset for the machine learning model being imported.
*
*
* @param datasetName
* The name of the dataset for the machine learning model being imported.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public ImportModelVersionRequest withDatasetName(String datasetName) {
setDatasetName(datasetName);
return this;
}
/**
* @param labelsInputConfiguration
*/
public void setLabelsInputConfiguration(LabelsInputConfiguration labelsInputConfiguration) {
this.labelsInputConfiguration = labelsInputConfiguration;
}
/**
* @return
*/
public LabelsInputConfiguration getLabelsInputConfiguration() {
return this.labelsInputConfiguration;
}
/**
* @param labelsInputConfiguration
* @return Returns a reference to this object so that method calls can be chained together.
*/
public ImportModelVersionRequest withLabelsInputConfiguration(LabelsInputConfiguration labelsInputConfiguration) {
setLabelsInputConfiguration(labelsInputConfiguration);
return this;
}
/**
*
* A unique identifier for the request. If you do not set the client request token, Amazon Lookout for Equipment
* generates one.
*
*
* @param clientToken
* A unique identifier for the request. If you do not set the client request token, Amazon Lookout for
* Equipment generates one.
*/
public void setClientToken(String clientToken) {
this.clientToken = clientToken;
}
/**
*
* A unique identifier for the request. If you do not set the client request token, Amazon Lookout for Equipment
* generates one.
*
*
* @return A unique identifier for the request. If you do not set the client request token, Amazon Lookout for
* Equipment generates one.
*/
public String getClientToken() {
return this.clientToken;
}
/**
*
* A unique identifier for the request. If you do not set the client request token, Amazon Lookout for Equipment
* generates one.
*
*
* @param clientToken
* A unique identifier for the request. If you do not set the client request token, Amazon Lookout for
* Equipment generates one.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public ImportModelVersionRequest withClientToken(String clientToken) {
setClientToken(clientToken);
return this;
}
/**
*
* The Amazon Resource Name (ARN) of a role with permission to access the data source being used to create the
* machine learning model.
*
*
* @param roleArn
* The Amazon Resource Name (ARN) of a role with permission to access the data source being used to create
* the machine learning model.
*/
public void setRoleArn(String roleArn) {
this.roleArn = roleArn;
}
/**
*
* The Amazon Resource Name (ARN) of a role with permission to access the data source being used to create the
* machine learning model.
*
*
* @return The Amazon Resource Name (ARN) of a role with permission to access the data source being used to create
* the machine learning model.
*/
public String getRoleArn() {
return this.roleArn;
}
/**
*
* The Amazon Resource Name (ARN) of a role with permission to access the data source being used to create the
* machine learning model.
*
*
* @param roleArn
* The Amazon Resource Name (ARN) of a role with permission to access the data source being used to create
* the machine learning model.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public ImportModelVersionRequest withRoleArn(String roleArn) {
setRoleArn(roleArn);
return this;
}
/**
*
* Provides the identifier of the KMS key key used to encrypt model data by Amazon Lookout for Equipment.
*
*
* @param serverSideKmsKeyId
* Provides the identifier of the KMS key key used to encrypt model data by Amazon Lookout for Equipment.
*/
public void setServerSideKmsKeyId(String serverSideKmsKeyId) {
this.serverSideKmsKeyId = serverSideKmsKeyId;
}
/**
*
* Provides the identifier of the KMS key key used to encrypt model data by Amazon Lookout for Equipment.
*
*
* @return Provides the identifier of the KMS key key used to encrypt model data by Amazon Lookout for Equipment.
*/
public String getServerSideKmsKeyId() {
return this.serverSideKmsKeyId;
}
/**
*
* Provides the identifier of the KMS key key used to encrypt model data by Amazon Lookout for Equipment.
*
*
* @param serverSideKmsKeyId
* Provides the identifier of the KMS key key used to encrypt model data by Amazon Lookout for Equipment.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public ImportModelVersionRequest withServerSideKmsKeyId(String serverSideKmsKeyId) {
setServerSideKmsKeyId(serverSideKmsKeyId);
return this;
}
/**
*
* The tags associated with the machine learning model to be created.
*
*
* @return The tags associated with the machine learning model to be created.
*/
public java.util.List getTags() {
return tags;
}
/**
*
* The tags associated with the machine learning model to be created.
*
*
* @param tags
* The tags associated with the machine learning model to be created.
*/
public void setTags(java.util.Collection tags) {
if (tags == null) {
this.tags = null;
return;
}
this.tags = new java.util.ArrayList(tags);
}
/**
*
* The tags associated with the machine learning model to be created.
*
*
* NOTE: This method appends the values to the existing list (if any). Use
* {@link #setTags(java.util.Collection)} or {@link #withTags(java.util.Collection)} if you want to override the
* existing values.
*
*
* @param tags
* The tags associated with the machine learning model to be created.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public ImportModelVersionRequest withTags(Tag... tags) {
if (this.tags == null) {
setTags(new java.util.ArrayList(tags.length));
}
for (Tag ele : tags) {
this.tags.add(ele);
}
return this;
}
/**
*
* The tags associated with the machine learning model to be created.
*
*
* @param tags
* The tags associated with the machine learning model to be created.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public ImportModelVersionRequest withTags(java.util.Collection tags) {
setTags(tags);
return this;
}
/**
*
* Indicates how to import the accumulated inference data when a model version is imported. The possible values are
* as follows:
*
*
* -
*
* NO_IMPORT – Don't import the data.
*
*
* -
*
* ADD_WHEN_EMPTY – Only import the data from the source model if there is no existing data in the target model.
*
*
* -
*
* OVERWRITE – Import the data from the source model and overwrite the existing data in the target model.
*
*
*
*
* @param inferenceDataImportStrategy
* Indicates how to import the accumulated inference data when a model version is imported. The possible
* values are as follows:
*
* -
*
* NO_IMPORT – Don't import the data.
*
*
* -
*
* ADD_WHEN_EMPTY – Only import the data from the source model if there is no existing data in the target
* model.
*
*
* -
*
* OVERWRITE – Import the data from the source model and overwrite the existing data in the target model.
*
*
* @see InferenceDataImportStrategy
*/
public void setInferenceDataImportStrategy(String inferenceDataImportStrategy) {
this.inferenceDataImportStrategy = inferenceDataImportStrategy;
}
/**
*
* Indicates how to import the accumulated inference data when a model version is imported. The possible values are
* as follows:
*
*
* -
*
* NO_IMPORT – Don't import the data.
*
*
* -
*
* ADD_WHEN_EMPTY – Only import the data from the source model if there is no existing data in the target model.
*
*
* -
*
* OVERWRITE – Import the data from the source model and overwrite the existing data in the target model.
*
*
*
*
* @return Indicates how to import the accumulated inference data when a model version is imported. The possible
* values are as follows:
*
* -
*
* NO_IMPORT – Don't import the data.
*
*
* -
*
* ADD_WHEN_EMPTY – Only import the data from the source model if there is no existing data in the target
* model.
*
*
* -
*
* OVERWRITE – Import the data from the source model and overwrite the existing data in the target model.
*
*
* @see InferenceDataImportStrategy
*/
public String getInferenceDataImportStrategy() {
return this.inferenceDataImportStrategy;
}
/**
*
* Indicates how to import the accumulated inference data when a model version is imported. The possible values are
* as follows:
*
*
* -
*
* NO_IMPORT – Don't import the data.
*
*
* -
*
* ADD_WHEN_EMPTY – Only import the data from the source model if there is no existing data in the target model.
*
*
* -
*
* OVERWRITE – Import the data from the source model and overwrite the existing data in the target model.
*
*
*
*
* @param inferenceDataImportStrategy
* Indicates how to import the accumulated inference data when a model version is imported. The possible
* values are as follows:
*
* -
*
* NO_IMPORT – Don't import the data.
*
*
* -
*
* ADD_WHEN_EMPTY – Only import the data from the source model if there is no existing data in the target
* model.
*
*
* -
*
* OVERWRITE – Import the data from the source model and overwrite the existing data in the target model.
*
*
* @return Returns a reference to this object so that method calls can be chained together.
* @see InferenceDataImportStrategy
*/
public ImportModelVersionRequest withInferenceDataImportStrategy(String inferenceDataImportStrategy) {
setInferenceDataImportStrategy(inferenceDataImportStrategy);
return this;
}
/**
*
* Indicates how to import the accumulated inference data when a model version is imported. The possible values are
* as follows:
*
*
* -
*
* NO_IMPORT – Don't import the data.
*
*
* -
*
* ADD_WHEN_EMPTY – Only import the data from the source model if there is no existing data in the target model.
*
*
* -
*
* OVERWRITE – Import the data from the source model and overwrite the existing data in the target model.
*
*
*
*
* @param inferenceDataImportStrategy
* Indicates how to import the accumulated inference data when a model version is imported. The possible
* values are as follows:
*
* -
*
* NO_IMPORT – Don't import the data.
*
*
* -
*
* ADD_WHEN_EMPTY – Only import the data from the source model if there is no existing data in the target
* model.
*
*
* -
*
* OVERWRITE – Import the data from the source model and overwrite the existing data in the target model.
*
*
* @return Returns a reference to this object so that method calls can be chained together.
* @see InferenceDataImportStrategy
*/
public ImportModelVersionRequest withInferenceDataImportStrategy(InferenceDataImportStrategy inferenceDataImportStrategy) {
this.inferenceDataImportStrategy = inferenceDataImportStrategy.toString();
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 (getSourceModelVersionArn() != null)
sb.append("SourceModelVersionArn: ").append(getSourceModelVersionArn()).append(",");
if (getModelName() != null)
sb.append("ModelName: ").append(getModelName()).append(",");
if (getDatasetName() != null)
sb.append("DatasetName: ").append(getDatasetName()).append(",");
if (getLabelsInputConfiguration() != null)
sb.append("LabelsInputConfiguration: ").append(getLabelsInputConfiguration()).append(",");
if (getClientToken() != null)
sb.append("ClientToken: ").append(getClientToken()).append(",");
if (getRoleArn() != null)
sb.append("RoleArn: ").append(getRoleArn()).append(",");
if (getServerSideKmsKeyId() != null)
sb.append("ServerSideKmsKeyId: ").append(getServerSideKmsKeyId()).append(",");
if (getTags() != null)
sb.append("Tags: ").append(getTags()).append(",");
if (getInferenceDataImportStrategy() != null)
sb.append("InferenceDataImportStrategy: ").append(getInferenceDataImportStrategy());
sb.append("}");
return sb.toString();
}
@Override
public boolean equals(Object obj) {
if (this == obj)
return true;
if (obj == null)
return false;
if (obj instanceof ImportModelVersionRequest == false)
return false;
ImportModelVersionRequest other = (ImportModelVersionRequest) obj;
if (other.getSourceModelVersionArn() == null ^ this.getSourceModelVersionArn() == null)
return false;
if (other.getSourceModelVersionArn() != null && other.getSourceModelVersionArn().equals(this.getSourceModelVersionArn()) == false)
return false;
if (other.getModelName() == null ^ this.getModelName() == null)
return false;
if (other.getModelName() != null && other.getModelName().equals(this.getModelName()) == false)
return false;
if (other.getDatasetName() == null ^ this.getDatasetName() == null)
return false;
if (other.getDatasetName() != null && other.getDatasetName().equals(this.getDatasetName()) == false)
return false;
if (other.getLabelsInputConfiguration() == null ^ this.getLabelsInputConfiguration() == null)
return false;
if (other.getLabelsInputConfiguration() != null && other.getLabelsInputConfiguration().equals(this.getLabelsInputConfiguration()) == 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.getRoleArn() == null ^ this.getRoleArn() == null)
return false;
if (other.getRoleArn() != null && other.getRoleArn().equals(this.getRoleArn()) == false)
return false;
if (other.getServerSideKmsKeyId() == null ^ this.getServerSideKmsKeyId() == null)
return false;
if (other.getServerSideKmsKeyId() != null && other.getServerSideKmsKeyId().equals(this.getServerSideKmsKeyId()) == false)
return false;
if (other.getTags() == null ^ this.getTags() == null)
return false;
if (other.getTags() != null && other.getTags().equals(this.getTags()) == false)
return false;
if (other.getInferenceDataImportStrategy() == null ^ this.getInferenceDataImportStrategy() == null)
return false;
if (other.getInferenceDataImportStrategy() != null && other.getInferenceDataImportStrategy().equals(this.getInferenceDataImportStrategy()) == false)
return false;
return true;
}
@Override
public int hashCode() {
final int prime = 31;
int hashCode = 1;
hashCode = prime * hashCode + ((getSourceModelVersionArn() == null) ? 0 : getSourceModelVersionArn().hashCode());
hashCode = prime * hashCode + ((getModelName() == null) ? 0 : getModelName().hashCode());
hashCode = prime * hashCode + ((getDatasetName() == null) ? 0 : getDatasetName().hashCode());
hashCode = prime * hashCode + ((getLabelsInputConfiguration() == null) ? 0 : getLabelsInputConfiguration().hashCode());
hashCode = prime * hashCode + ((getClientToken() == null) ? 0 : getClientToken().hashCode());
hashCode = prime * hashCode + ((getRoleArn() == null) ? 0 : getRoleArn().hashCode());
hashCode = prime * hashCode + ((getServerSideKmsKeyId() == null) ? 0 : getServerSideKmsKeyId().hashCode());
hashCode = prime * hashCode + ((getTags() == null) ? 0 : getTags().hashCode());
hashCode = prime * hashCode + ((getInferenceDataImportStrategy() == null) ? 0 : getInferenceDataImportStrategy().hashCode());
return hashCode;
}
@Override
public ImportModelVersionRequest clone() {
return (ImportModelVersionRequest) super.clone();
}
}