com.amazonaws.services.machinelearning.model.GetEvaluationResult Maven / Gradle / Ivy
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/*
* Copyright 2011-2016 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.machinelearning.model;
import java.io.Serializable;
/**
*
* Represents the output of a GetEvaluation operation and describes
* an Evaluation.
*
*/
public class GetEvaluationResult implements Serializable, Cloneable {
/**
*
* The evaluation ID which is same as the EvaluationId in the
* request.
*
*/
private String evaluationId;
/**
*
* The ID of the MLModel that was the focus of the evaluation.
*
*/
private String mLModelId;
/**
*
* The DataSource used for this evaluation.
*
*/
private String evaluationDataSourceId;
/**
*
* The location of the data file or directory in Amazon Simple Storage
* Service (Amazon S3).
*
*/
private String inputDataLocationS3;
/**
*
* The AWS user account that invoked the evaluation. The account type can be
* either an AWS root account or an AWS Identity and Access Management (IAM)
* user account.
*
*/
private String createdByIamUser;
/**
*
* The time that the Evaluation was created. The time is
* expressed in epoch time.
*
*/
private java.util.Date createdAt;
/**
*
* The time of the most recent edit to the BatchPrediction. The
* time is expressed in epoch time.
*
*/
private java.util.Date lastUpdatedAt;
/**
*
* A user-supplied name or description of the Evaluation.
*
*/
private String name;
/**
*
* The status of the evaluation. This element can have one of the following
* values:
*
*
* -
PENDING - Amazon Machine Language (Amazon ML) submitted
* a request to evaluate an MLModel.
* -
INPROGRESS - The evaluation is underway.
* -
FAILED - The request to evaluate an MLModel
* did not run to completion. It is not usable.
* -
COMPLETED - The evaluation process completed
* successfully.
* -
DELETED - The Evaluation is marked as
* deleted. It is not usable.
*
*/
private String status;
/**
*
* Measurements of how well the MLModel performed using
* observations referenced by the DataSource. One of the
* following metric is returned based on the type of the
* MLModel:
*
*
* -
*
* BinaryAUC: A binary MLModel uses the Area Under the Curve
* (AUC) technique to measure performance.
*
*
* -
*
* RegressionRMSE: A regression MLModel uses the Root Mean
* Square Error (RMSE) technique to measure performance. RMSE measures the
* difference between predicted and actual values for a single variable.
*
*
* -
*
* MulticlassAvgFScore: A multiclass MLModel uses the F1 score
* technique to measure performance.
*
*
*
*
* For more information about performance metrics, please see the Amazon
* Machine Learning Developer Guide.
*
*/
private PerformanceMetrics performanceMetrics;
/**
*
* A link to the file that contains logs of the
* CreateEvaluation operation.
*
*/
private String logUri;
/**
*
* A description of the most recent details about evaluating the
* MLModel.
*
*/
private String message;
/**
*
* The evaluation ID which is same as the EvaluationId in the
* request.
*
*
* @param evaluationId
* The evaluation ID which is same as the EvaluationId
* in the request.
*/
public void setEvaluationId(String evaluationId) {
this.evaluationId = evaluationId;
}
/**
*
* The evaluation ID which is same as the EvaluationId in the
* request.
*
*
* @return The evaluation ID which is same as the EvaluationId
* in the request.
*/
public String getEvaluationId() {
return this.evaluationId;
}
/**
*
* The evaluation ID which is same as the EvaluationId in the
* request.
*
*
* @param evaluationId
* The evaluation ID which is same as the EvaluationId
* in the request.
* @return Returns a reference to this object so that method calls can be
* chained together.
*/
public GetEvaluationResult withEvaluationId(String evaluationId) {
setEvaluationId(evaluationId);
return this;
}
/**
*
* The ID of the MLModel that was the focus of the evaluation.
*
*
* @param mLModelId
* The ID of the MLModel that was the focus of the
* evaluation.
*/
public void setMLModelId(String mLModelId) {
this.mLModelId = mLModelId;
}
/**
*
* The ID of the MLModel that was the focus of the evaluation.
*
*
* @return The ID of the MLModel that was the focus of the
* evaluation.
*/
public String getMLModelId() {
return this.mLModelId;
}
/**
*
* The ID of the MLModel that was the focus of the evaluation.
*
*
* @param mLModelId
* The ID of the MLModel that was the focus of the
* evaluation.
* @return Returns a reference to this object so that method calls can be
* chained together.
*/
public GetEvaluationResult withMLModelId(String mLModelId) {
setMLModelId(mLModelId);
return this;
}
/**
*
* The DataSource used for this evaluation.
*
*
* @param evaluationDataSourceId
* The DataSource used for this evaluation.
*/
public void setEvaluationDataSourceId(String evaluationDataSourceId) {
this.evaluationDataSourceId = evaluationDataSourceId;
}
/**
*
* The DataSource used for this evaluation.
*
*
* @return The DataSource used for this evaluation.
*/
public String getEvaluationDataSourceId() {
return this.evaluationDataSourceId;
}
/**
*
* The DataSource used for this evaluation.
*
*
* @param evaluationDataSourceId
* The DataSource used for this evaluation.
* @return Returns a reference to this object so that method calls can be
* chained together.
*/
public GetEvaluationResult withEvaluationDataSourceId(
String evaluationDataSourceId) {
setEvaluationDataSourceId(evaluationDataSourceId);
return this;
}
/**
*
* The location of the data file or directory in Amazon Simple Storage
* Service (Amazon S3).
*
*
* @param inputDataLocationS3
* The location of the data file or directory in Amazon Simple
* Storage Service (Amazon S3).
*/
public void setInputDataLocationS3(String inputDataLocationS3) {
this.inputDataLocationS3 = inputDataLocationS3;
}
/**
*
* The location of the data file or directory in Amazon Simple Storage
* Service (Amazon S3).
*
*
* @return The location of the data file or directory in Amazon Simple
* Storage Service (Amazon S3).
*/
public String getInputDataLocationS3() {
return this.inputDataLocationS3;
}
/**
*
* The location of the data file or directory in Amazon Simple Storage
* Service (Amazon S3).
*
*
* @param inputDataLocationS3
* The location of the data file or directory in Amazon Simple
* Storage Service (Amazon S3).
* @return Returns a reference to this object so that method calls can be
* chained together.
*/
public GetEvaluationResult withInputDataLocationS3(
String inputDataLocationS3) {
setInputDataLocationS3(inputDataLocationS3);
return this;
}
/**
*
* The AWS user account that invoked the evaluation. The account type can be
* either an AWS root account or an AWS Identity and Access Management (IAM)
* user account.
*
*
* @param createdByIamUser
* The AWS user account that invoked the evaluation. The account type
* can be either an AWS root account or an AWS Identity and Access
* Management (IAM) user account.
*/
public void setCreatedByIamUser(String createdByIamUser) {
this.createdByIamUser = createdByIamUser;
}
/**
*
* The AWS user account that invoked the evaluation. The account type can be
* either an AWS root account or an AWS Identity and Access Management (IAM)
* user account.
*
*
* @return The AWS user account that invoked the evaluation. The account
* type can be either an AWS root account or an AWS Identity and
* Access Management (IAM) user account.
*/
public String getCreatedByIamUser() {
return this.createdByIamUser;
}
/**
*
* The AWS user account that invoked the evaluation. The account type can be
* either an AWS root account or an AWS Identity and Access Management (IAM)
* user account.
*
*
* @param createdByIamUser
* The AWS user account that invoked the evaluation. The account type
* can be either an AWS root account or an AWS Identity and Access
* Management (IAM) user account.
* @return Returns a reference to this object so that method calls can be
* chained together.
*/
public GetEvaluationResult withCreatedByIamUser(String createdByIamUser) {
setCreatedByIamUser(createdByIamUser);
return this;
}
/**
*
* The time that the Evaluation was created. The time is
* expressed in epoch time.
*
*
* @param createdAt
* The time that the Evaluation was created. The time is
* expressed in epoch time.
*/
public void setCreatedAt(java.util.Date createdAt) {
this.createdAt = createdAt;
}
/**
*
* The time that the Evaluation was created. The time is
* expressed in epoch time.
*
*
* @return The time that the Evaluation was created. The time
* is expressed in epoch time.
*/
public java.util.Date getCreatedAt() {
return this.createdAt;
}
/**
*
* The time that the Evaluation was created. The time is
* expressed in epoch time.
*
*
* @param createdAt
* The time that the Evaluation was created. The time is
* expressed in epoch time.
* @return Returns a reference to this object so that method calls can be
* chained together.
*/
public GetEvaluationResult withCreatedAt(java.util.Date createdAt) {
setCreatedAt(createdAt);
return this;
}
/**
*
* The time of the most recent edit to the BatchPrediction. The
* time is expressed in epoch time.
*
*
* @param lastUpdatedAt
* The time of the most recent edit to the
* BatchPrediction. The time is expressed in epoch time.
*/
public void setLastUpdatedAt(java.util.Date lastUpdatedAt) {
this.lastUpdatedAt = lastUpdatedAt;
}
/**
*
* The time of the most recent edit to the BatchPrediction. The
* time is expressed in epoch time.
*
*
* @return The time of the most recent edit to the
* BatchPrediction. The time is expressed in epoch
* time.
*/
public java.util.Date getLastUpdatedAt() {
return this.lastUpdatedAt;
}
/**
*
* The time of the most recent edit to the BatchPrediction. The
* time is expressed in epoch time.
*
*
* @param lastUpdatedAt
* The time of the most recent edit to the
* BatchPrediction. The time is expressed in epoch time.
* @return Returns a reference to this object so that method calls can be
* chained together.
*/
public GetEvaluationResult withLastUpdatedAt(java.util.Date lastUpdatedAt) {
setLastUpdatedAt(lastUpdatedAt);
return this;
}
/**
*
* A user-supplied name or description of the Evaluation.
*
*
* @param name
* A user-supplied name or description of the Evaluation
* .
*/
public void setName(String name) {
this.name = name;
}
/**
*
* A user-supplied name or description of the Evaluation.
*
*
* @return A user-supplied name or description of the
* Evaluation.
*/
public String getName() {
return this.name;
}
/**
*
* A user-supplied name or description of the Evaluation.
*
*
* @param name
* A user-supplied name or description of the Evaluation
* .
* @return Returns a reference to this object so that method calls can be
* chained together.
*/
public GetEvaluationResult withName(String name) {
setName(name);
return this;
}
/**
*
* The status of the evaluation. This element can have one of the following
* values:
*
*
* -
PENDING - Amazon Machine Language (Amazon ML) submitted
* a request to evaluate an MLModel.
* -
INPROGRESS - The evaluation is underway.
* -
FAILED - The request to evaluate an MLModel
* did not run to completion. It is not usable.
* -
COMPLETED - The evaluation process completed
* successfully.
* -
DELETED - The Evaluation is marked as
* deleted. It is not usable.
*
*
* @param status
* The status of the evaluation. This element can have one of the
* following values:
*
* -
PENDING - Amazon Machine Language (Amazon ML)
* submitted a request to evaluate an MLModel.
* -
INPROGRESS - The evaluation is underway.
* -
FAILED - The request to evaluate an
* MLModel did not run to completion. It is not usable.
* -
COMPLETED - The evaluation process completed
* successfully.
* -
DELETED - The Evaluation is marked
* as deleted. It is not usable.
* @see EntityStatus
*/
public void setStatus(String status) {
this.status = status;
}
/**
*
* The status of the evaluation. This element can have one of the following
* values:
*
*
* -
PENDING - Amazon Machine Language (Amazon ML) submitted
* a request to evaluate an MLModel.
* -
INPROGRESS - The evaluation is underway.
* -
FAILED - The request to evaluate an MLModel
* did not run to completion. It is not usable.
* -
COMPLETED - The evaluation process completed
* successfully.
* -
DELETED - The Evaluation is marked as
* deleted. It is not usable.
*
*
* @return The status of the evaluation. This element can have one of the
* following values:
*
* -
PENDING - Amazon Machine Language (Amazon ML)
* submitted a request to evaluate an MLModel.
* -
INPROGRESS - The evaluation is underway.
* -
FAILED - The request to evaluate an
* MLModel did not run to completion. It is not usable.
*
* -
COMPLETED - The evaluation process completed
* successfully.
* -
DELETED - The Evaluation is marked
* as deleted. It is not usable.
* @see EntityStatus
*/
public String getStatus() {
return this.status;
}
/**
*
* The status of the evaluation. This element can have one of the following
* values:
*
*
* -
PENDING - Amazon Machine Language (Amazon ML) submitted
* a request to evaluate an MLModel.
* -
INPROGRESS - The evaluation is underway.
* -
FAILED - The request to evaluate an MLModel
* did not run to completion. It is not usable.
* -
COMPLETED - The evaluation process completed
* successfully.
* -
DELETED - The Evaluation is marked as
* deleted. It is not usable.
*
*
* @param status
* The status of the evaluation. This element can have one of the
* following values:
*
* -
PENDING - Amazon Machine Language (Amazon ML)
* submitted a request to evaluate an MLModel.
* -
INPROGRESS - The evaluation is underway.
* -
FAILED - The request to evaluate an
* MLModel did not run to completion. It is not usable.
* -
COMPLETED - The evaluation process completed
* successfully.
* -
DELETED - The Evaluation is marked
* as deleted. It is not usable.
* @return Returns a reference to this object so that method calls can be
* chained together.
* @see EntityStatus
*/
public GetEvaluationResult withStatus(String status) {
setStatus(status);
return this;
}
/**
*
* The status of the evaluation. This element can have one of the following
* values:
*
*
* -
PENDING - Amazon Machine Language (Amazon ML) submitted
* a request to evaluate an MLModel.
* -
INPROGRESS - The evaluation is underway.
* -
FAILED - The request to evaluate an MLModel
* did not run to completion. It is not usable.
* -
COMPLETED - The evaluation process completed
* successfully.
* -
DELETED - The Evaluation is marked as
* deleted. It is not usable.
*
*
* @param status
* The status of the evaluation. This element can have one of the
* following values:
*
* -
PENDING - Amazon Machine Language (Amazon ML)
* submitted a request to evaluate an MLModel.
* -
INPROGRESS - The evaluation is underway.
* -
FAILED - The request to evaluate an
* MLModel did not run to completion. It is not usable.
* -
COMPLETED - The evaluation process completed
* successfully.
* -
DELETED - The Evaluation is marked
* as deleted. It is not usable.
* @see EntityStatus
*/
public void setStatus(EntityStatus status) {
this.status = status.toString();
}
/**
*
* The status of the evaluation. This element can have one of the following
* values:
*
*
* -
PENDING - Amazon Machine Language (Amazon ML) submitted
* a request to evaluate an MLModel.
* -
INPROGRESS - The evaluation is underway.
* -
FAILED - The request to evaluate an MLModel
* did not run to completion. It is not usable.
* -
COMPLETED - The evaluation process completed
* successfully.
* -
DELETED - The Evaluation is marked as
* deleted. It is not usable.
*
*
* @param status
* The status of the evaluation. This element can have one of the
* following values:
*
* -
PENDING - Amazon Machine Language (Amazon ML)
* submitted a request to evaluate an MLModel.
* -
INPROGRESS - The evaluation is underway.
* -
FAILED - The request to evaluate an
* MLModel did not run to completion. It is not usable.
* -
COMPLETED - The evaluation process completed
* successfully.
* -
DELETED - The Evaluation is marked
* as deleted. It is not usable.
* @return Returns a reference to this object so that method calls can be
* chained together.
* @see EntityStatus
*/
public GetEvaluationResult withStatus(EntityStatus status) {
setStatus(status);
return this;
}
/**
*
* Measurements of how well the MLModel performed using
* observations referenced by the DataSource. One of the
* following metric is returned based on the type of the
* MLModel:
*
*
* -
*
* BinaryAUC: A binary MLModel uses the Area Under the Curve
* (AUC) technique to measure performance.
*
*
* -
*
* RegressionRMSE: A regression MLModel uses the Root Mean
* Square Error (RMSE) technique to measure performance. RMSE measures the
* difference between predicted and actual values for a single variable.
*
*
* -
*
* MulticlassAvgFScore: A multiclass MLModel uses the F1 score
* technique to measure performance.
*
*
*
*
* For more information about performance metrics, please see the Amazon
* Machine Learning Developer Guide.
*
*
* @param performanceMetrics
* Measurements of how well the MLModel performed using
* observations referenced by the DataSource. One of the
* following metric is returned based on the type of the
* MLModel:
*
* -
*
* BinaryAUC: A binary MLModel uses the Area Under the
* Curve (AUC) technique to measure performance.
*
*
* -
*
* RegressionRMSE: A regression MLModel uses the Root
* Mean Square Error (RMSE) technique to measure performance. RMSE
* measures the difference between predicted and actual values for a
* single variable.
*
*
* -
*
* MulticlassAvgFScore: A multiclass MLModel uses the F1
* score technique to measure performance.
*
*
*
*
* For more information about performance metrics, please see the Amazon
* Machine Learning Developer Guide.
*/
public void setPerformanceMetrics(PerformanceMetrics performanceMetrics) {
this.performanceMetrics = performanceMetrics;
}
/**
*
* Measurements of how well the MLModel performed using
* observations referenced by the DataSource. One of the
* following metric is returned based on the type of the
* MLModel:
*
*
* -
*
* BinaryAUC: A binary MLModel uses the Area Under the Curve
* (AUC) technique to measure performance.
*
*
* -
*
* RegressionRMSE: A regression MLModel uses the Root Mean
* Square Error (RMSE) technique to measure performance. RMSE measures the
* difference between predicted and actual values for a single variable.
*
*
* -
*
* MulticlassAvgFScore: A multiclass MLModel uses the F1 score
* technique to measure performance.
*
*
*
*
* For more information about performance metrics, please see the Amazon
* Machine Learning Developer Guide.
*
*
* @return Measurements of how well the MLModel performed using
* observations referenced by the DataSource. One of
* the following metric is returned based on the type of the
* MLModel:
*
* -
*
* BinaryAUC: A binary MLModel uses the Area Under the
* Curve (AUC) technique to measure performance.
*
*
* -
*
* RegressionRMSE: A regression MLModel uses the Root
* Mean Square Error (RMSE) technique to measure performance. RMSE
* measures the difference between predicted and actual values for a
* single variable.
*
*
* -
*
* MulticlassAvgFScore: A multiclass MLModel uses the
* F1 score technique to measure performance.
*
*
*
*
* For more information about performance metrics, please see the Amazon
* Machine Learning Developer Guide.
*/
public PerformanceMetrics getPerformanceMetrics() {
return this.performanceMetrics;
}
/**
*
* Measurements of how well the MLModel performed using
* observations referenced by the DataSource. One of the
* following metric is returned based on the type of the
* MLModel:
*
*
* -
*
* BinaryAUC: A binary MLModel uses the Area Under the Curve
* (AUC) technique to measure performance.
*
*
* -
*
* RegressionRMSE: A regression MLModel uses the Root Mean
* Square Error (RMSE) technique to measure performance. RMSE measures the
* difference between predicted and actual values for a single variable.
*
*
* -
*
* MulticlassAvgFScore: A multiclass MLModel uses the F1 score
* technique to measure performance.
*
*
*
*
* For more information about performance metrics, please see the Amazon
* Machine Learning Developer Guide.
*
*
* @param performanceMetrics
* Measurements of how well the MLModel performed using
* observations referenced by the DataSource. One of the
* following metric is returned based on the type of the
* MLModel:
*
* -
*
* BinaryAUC: A binary MLModel uses the Area Under the
* Curve (AUC) technique to measure performance.
*
*
* -
*
* RegressionRMSE: A regression MLModel uses the Root
* Mean Square Error (RMSE) technique to measure performance. RMSE
* measures the difference between predicted and actual values for a
* single variable.
*
*
* -
*
* MulticlassAvgFScore: A multiclass MLModel uses the F1
* score technique to measure performance.
*
*
*
*
* For more information about performance metrics, please see the Amazon
* Machine Learning Developer Guide.
* @return Returns a reference to this object so that method calls can be
* chained together.
*/
public GetEvaluationResult withPerformanceMetrics(
PerformanceMetrics performanceMetrics) {
setPerformanceMetrics(performanceMetrics);
return this;
}
/**
*
* A link to the file that contains logs of the
* CreateEvaluation operation.
*
*
* @param logUri
* A link to the file that contains logs of the
* CreateEvaluation operation.
*/
public void setLogUri(String logUri) {
this.logUri = logUri;
}
/**
*
* A link to the file that contains logs of the
* CreateEvaluation operation.
*
*
* @return A link to the file that contains logs of the
* CreateEvaluation operation.
*/
public String getLogUri() {
return this.logUri;
}
/**
*
* A link to the file that contains logs of the
* CreateEvaluation operation.
*
*
* @param logUri
* A link to the file that contains logs of the
* CreateEvaluation operation.
* @return Returns a reference to this object so that method calls can be
* chained together.
*/
public GetEvaluationResult withLogUri(String logUri) {
setLogUri(logUri);
return this;
}
/**
*
* A description of the most recent details about evaluating the
* MLModel.
*
*
* @param message
* A description of the most recent details about evaluating the
* MLModel.
*/
public void setMessage(String message) {
this.message = message;
}
/**
*
* A description of the most recent details about evaluating the
* MLModel.
*
*
* @return A description of the most recent details about evaluating the
* MLModel.
*/
public String getMessage() {
return this.message;
}
/**
*
* A description of the most recent details about evaluating the
* MLModel.
*
*
* @param message
* A description of the most recent details about evaluating the
* MLModel.
* @return Returns a reference to this object so that method calls can be
* chained together.
*/
public GetEvaluationResult withMessage(String message) {
setMessage(message);
return this;
}
/**
* Returns a string representation of this object; useful for testing and
* debugging.
*
* @return A string representation of this object.
*
* @see java.lang.Object#toString()
*/
@Override
public String toString() {
StringBuilder sb = new StringBuilder();
sb.append("{");
if (getEvaluationId() != null)
sb.append("EvaluationId: " + getEvaluationId() + ",");
if (getMLModelId() != null)
sb.append("MLModelId: " + getMLModelId() + ",");
if (getEvaluationDataSourceId() != null)
sb.append("EvaluationDataSourceId: " + getEvaluationDataSourceId()
+ ",");
if (getInputDataLocationS3() != null)
sb.append("InputDataLocationS3: " + getInputDataLocationS3() + ",");
if (getCreatedByIamUser() != null)
sb.append("CreatedByIamUser: " + getCreatedByIamUser() + ",");
if (getCreatedAt() != null)
sb.append("CreatedAt: " + getCreatedAt() + ",");
if (getLastUpdatedAt() != null)
sb.append("LastUpdatedAt: " + getLastUpdatedAt() + ",");
if (getName() != null)
sb.append("Name: " + getName() + ",");
if (getStatus() != null)
sb.append("Status: " + getStatus() + ",");
if (getPerformanceMetrics() != null)
sb.append("PerformanceMetrics: " + getPerformanceMetrics() + ",");
if (getLogUri() != null)
sb.append("LogUri: " + getLogUri() + ",");
if (getMessage() != null)
sb.append("Message: " + getMessage());
sb.append("}");
return sb.toString();
}
@Override
public boolean equals(Object obj) {
if (this == obj)
return true;
if (obj == null)
return false;
if (obj instanceof GetEvaluationResult == false)
return false;
GetEvaluationResult other = (GetEvaluationResult) obj;
if (other.getEvaluationId() == null ^ this.getEvaluationId() == null)
return false;
if (other.getEvaluationId() != null
&& other.getEvaluationId().equals(this.getEvaluationId()) == false)
return false;
if (other.getMLModelId() == null ^ this.getMLModelId() == null)
return false;
if (other.getMLModelId() != null
&& other.getMLModelId().equals(this.getMLModelId()) == false)
return false;
if (other.getEvaluationDataSourceId() == null
^ this.getEvaluationDataSourceId() == null)
return false;
if (other.getEvaluationDataSourceId() != null
&& other.getEvaluationDataSourceId().equals(
this.getEvaluationDataSourceId()) == false)
return false;
if (other.getInputDataLocationS3() == null
^ this.getInputDataLocationS3() == null)
return false;
if (other.getInputDataLocationS3() != null
&& other.getInputDataLocationS3().equals(
this.getInputDataLocationS3()) == false)
return false;
if (other.getCreatedByIamUser() == null
^ this.getCreatedByIamUser() == null)
return false;
if (other.getCreatedByIamUser() != null
&& other.getCreatedByIamUser().equals(
this.getCreatedByIamUser()) == false)
return false;
if (other.getCreatedAt() == null ^ this.getCreatedAt() == null)
return false;
if (other.getCreatedAt() != null
&& other.getCreatedAt().equals(this.getCreatedAt()) == false)
return false;
if (other.getLastUpdatedAt() == null ^ this.getLastUpdatedAt() == null)
return false;
if (other.getLastUpdatedAt() != null
&& other.getLastUpdatedAt().equals(this.getLastUpdatedAt()) == false)
return false;
if (other.getName() == null ^ this.getName() == null)
return false;
if (other.getName() != null
&& other.getName().equals(this.getName()) == false)
return false;
if (other.getStatus() == null ^ this.getStatus() == null)
return false;
if (other.getStatus() != null
&& other.getStatus().equals(this.getStatus()) == false)
return false;
if (other.getPerformanceMetrics() == null
^ this.getPerformanceMetrics() == null)
return false;
if (other.getPerformanceMetrics() != null
&& other.getPerformanceMetrics().equals(
this.getPerformanceMetrics()) == false)
return false;
if (other.getLogUri() == null ^ this.getLogUri() == null)
return false;
if (other.getLogUri() != null
&& other.getLogUri().equals(this.getLogUri()) == false)
return false;
if (other.getMessage() == null ^ this.getMessage() == null)
return false;
if (other.getMessage() != null
&& other.getMessage().equals(this.getMessage()) == false)
return false;
return true;
}
@Override
public int hashCode() {
final int prime = 31;
int hashCode = 1;
hashCode = prime
* hashCode
+ ((getEvaluationId() == null) ? 0 : getEvaluationId()
.hashCode());
hashCode = prime * hashCode
+ ((getMLModelId() == null) ? 0 : getMLModelId().hashCode());
hashCode = prime
* hashCode
+ ((getEvaluationDataSourceId() == null) ? 0
: getEvaluationDataSourceId().hashCode());
hashCode = prime
* hashCode
+ ((getInputDataLocationS3() == null) ? 0
: getInputDataLocationS3().hashCode());
hashCode = prime
* hashCode
+ ((getCreatedByIamUser() == null) ? 0 : getCreatedByIamUser()
.hashCode());
hashCode = prime * hashCode
+ ((getCreatedAt() == null) ? 0 : getCreatedAt().hashCode());
hashCode = prime
* hashCode
+ ((getLastUpdatedAt() == null) ? 0 : getLastUpdatedAt()
.hashCode());
hashCode = prime * hashCode
+ ((getName() == null) ? 0 : getName().hashCode());
hashCode = prime * hashCode
+ ((getStatus() == null) ? 0 : getStatus().hashCode());
hashCode = prime
* hashCode
+ ((getPerformanceMetrics() == null) ? 0
: getPerformanceMetrics().hashCode());
hashCode = prime * hashCode
+ ((getLogUri() == null) ? 0 : getLogUri().hashCode());
hashCode = prime * hashCode
+ ((getMessage() == null) ? 0 : getMessage().hashCode());
return hashCode;
}
@Override
public GetEvaluationResult clone() {
try {
return (GetEvaluationResult) super.clone();
} catch (CloneNotSupportedException e) {
throw new IllegalStateException(
"Got a CloneNotSupportedException from Object.clone() "
+ "even though we're Cloneable!", e);
}
}
}