com.amazonaws.services.lookoutequipment.model.DescribeModelResult Maven / Gradle / Ivy
/*
* Copyright 2016-2021 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;
/**
*
* @see AWS API
* Documentation
*/
@Generated("com.amazonaws:aws-java-sdk-code-generator")
public class DescribeModelResult extends com.amazonaws.AmazonWebServiceResult implements Serializable, Cloneable {
/**
*
* The name of the ML model being described.
*
*/
private String modelName;
/**
*
* The Amazon Resource Name (ARN) of the ML model being described.
*
*/
private String modelArn;
/**
*
* The name of the dataset being used by the ML being described.
*
*/
private String datasetName;
/**
*
* The Amazon Resouce Name (ARN) of the dataset used to create the ML model being described.
*
*/
private String datasetArn;
/**
*
* A JSON description of the data that is in each time series dataset, including names, column names, and data
* types.
*
*/
private String schema;
/**
*
* Specifies configuration information about the labels input, including its S3 location.
*
*/
private LabelsInputConfiguration labelsInputConfiguration;
/**
*
* Indicates the time reference in the dataset that was used to begin the subset of training data for the ML model.
*
*/
private java.util.Date trainingDataStartTime;
/**
*
* Indicates the time reference in the dataset that was used to end the subset of training data for the ML model.
*
*/
private java.util.Date trainingDataEndTime;
/**
*
* Indicates the time reference in the dataset that was used to begin the subset of evaluation data for the ML
* model.
*
*/
private java.util.Date evaluationDataStartTime;
/**
*
* Indicates the time reference in the dataset that was used to end the subset of evaluation data for the ML model.
*
*/
private java.util.Date evaluationDataEndTime;
/**
*
* The Amazon Resource Name (ARN) of a role with permission to access the data source for the ML model being
* described.
*
*/
private String roleArn;
/**
*
* The configuration is the TargetSamplingRate, which is the sampling rate of the data after post
* processing by Amazon Lookout for Equipment. For example, if you provide data that has been collected at a 1
* second level and you want the system to resample the data at a 1 minute rate before training, the
* TargetSamplingRate is 1 minute.
*
*
* When providing a value for the TargetSamplingRate, you must attach the prefix "PT" to the rate you
* want. The value for a 1 second rate is therefore PT1S, the value for a 15 minute rate is PT15M, and
* the value for a 1 hour rate is PT1H
*
*/
private DataPreProcessingConfiguration dataPreProcessingConfiguration;
/**
*
* Specifies the current status of the model being described. Status describes the status of the most recent action
* of the model.
*
*/
private String status;
/**
*
* Indicates the time at which the training of the ML model began.
*
*/
private java.util.Date trainingExecutionStartTime;
/**
*
* Indicates the time at which the training of the ML model was completed.
*
*/
private java.util.Date trainingExecutionEndTime;
/**
*
* If the training of the ML model failed, this indicates the reason for that failure.
*
*/
private String failedReason;
/**
*
* The Model Metrics show an aggregated summary of the model's performance within the evaluation time range. This is
* the JSON content of the metrics created when evaluating the model.
*
*/
private String modelMetrics;
/**
*
* Indicates the last time the ML model was updated. The type of update is not specified.
*
*/
private java.util.Date lastUpdatedTime;
/**
*
* Indicates the time and date at which the ML model was created.
*
*/
private java.util.Date createdAt;
/**
*
* Provides the identifier of the AWS KMS customer master key (CMK) used to encrypt model data by Amazon Lookout for
* Equipment.
*
*/
private String serverSideKmsKeyId;
/**
*
* The name of the ML model being described.
*
*
* @param modelName
* The name of the ML model being described.
*/
public void setModelName(String modelName) {
this.modelName = modelName;
}
/**
*
* The name of the ML model being described.
*
*
* @return The name of the ML model being described.
*/
public String getModelName() {
return this.modelName;
}
/**
*
* The name of the ML model being described.
*
*
* @param modelName
* The name of the ML model being described.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public DescribeModelResult withModelName(String modelName) {
setModelName(modelName);
return this;
}
/**
*
* The Amazon Resource Name (ARN) of the ML model being described.
*
*
* @param modelArn
* The Amazon Resource Name (ARN) of the ML model being described.
*/
public void setModelArn(String modelArn) {
this.modelArn = modelArn;
}
/**
*
* The Amazon Resource Name (ARN) of the ML model being described.
*
*
* @return The Amazon Resource Name (ARN) of the ML model being described.
*/
public String getModelArn() {
return this.modelArn;
}
/**
*
* The Amazon Resource Name (ARN) of the ML model being described.
*
*
* @param modelArn
* The Amazon Resource Name (ARN) of the ML model being described.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public DescribeModelResult withModelArn(String modelArn) {
setModelArn(modelArn);
return this;
}
/**
*
* The name of the dataset being used by the ML being described.
*
*
* @param datasetName
* The name of the dataset being used by the ML being described.
*/
public void setDatasetName(String datasetName) {
this.datasetName = datasetName;
}
/**
*
* The name of the dataset being used by the ML being described.
*
*
* @return The name of the dataset being used by the ML being described.
*/
public String getDatasetName() {
return this.datasetName;
}
/**
*
* The name of the dataset being used by the ML being described.
*
*
* @param datasetName
* The name of the dataset being used by the ML being described.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public DescribeModelResult withDatasetName(String datasetName) {
setDatasetName(datasetName);
return this;
}
/**
*
* The Amazon Resouce Name (ARN) of the dataset used to create the ML model being described.
*
*
* @param datasetArn
* The Amazon Resouce Name (ARN) of the dataset used to create the ML model being described.
*/
public void setDatasetArn(String datasetArn) {
this.datasetArn = datasetArn;
}
/**
*
* The Amazon Resouce Name (ARN) of the dataset used to create the ML model being described.
*
*
* @return The Amazon Resouce Name (ARN) of the dataset used to create the ML model being described.
*/
public String getDatasetArn() {
return this.datasetArn;
}
/**
*
* The Amazon Resouce Name (ARN) of the dataset used to create the ML model being described.
*
*
* @param datasetArn
* The Amazon Resouce Name (ARN) of the dataset used to create the ML model being described.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public DescribeModelResult withDatasetArn(String datasetArn) {
setDatasetArn(datasetArn);
return this;
}
/**
*
* A JSON description of the data that is in each time series dataset, including names, column names, and data
* types.
*
*
* This field's value must be valid JSON according to RFC 7159, including the opening and closing braces. For
* example: '{"key": "value"}'.
*
*
* The AWS SDK for Java performs a Base64 encoding on this field before sending this request to the AWS service.
* Users of the SDK should not perform Base64 encoding on this field.
*
*
* @param schema
* A JSON description of the data that is in each time series dataset, including names, column names, and
* data types.
*/
public void setSchema(String schema) {
this.schema = schema;
}
/**
*
* A JSON description of the data that is in each time series dataset, including names, column names, and data
* types.
*
*
* This field's value will be valid JSON according to RFC 7159, including the opening and closing braces. For
* example: '{"key": "value"}'.
*
*
* @return A JSON description of the data that is in each time series dataset, including names, column names, and
* data types.
*/
public String getSchema() {
return this.schema;
}
/**
*
* A JSON description of the data that is in each time series dataset, including names, column names, and data
* types.
*
*
* This field's value must be valid JSON according to RFC 7159, including the opening and closing braces. For
* example: '{"key": "value"}'.
*
*
* The AWS SDK for Java performs a Base64 encoding on this field before sending this request to the AWS service.
* Users of the SDK should not perform Base64 encoding on this field.
*
*
* @param schema
* A JSON description of the data that is in each time series dataset, including names, column names, and
* data types.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public DescribeModelResult withSchema(String schema) {
setSchema(schema);
return this;
}
/**
*
* Specifies configuration information about the labels input, including its S3 location.
*
*
* @param labelsInputConfiguration
* Specifies configuration information about the labels input, including its S3 location.
*/
public void setLabelsInputConfiguration(LabelsInputConfiguration labelsInputConfiguration) {
this.labelsInputConfiguration = labelsInputConfiguration;
}
/**
*
* Specifies configuration information about the labels input, including its S3 location.
*
*
* @return Specifies configuration information about the labels input, including its S3 location.
*/
public LabelsInputConfiguration getLabelsInputConfiguration() {
return this.labelsInputConfiguration;
}
/**
*
* Specifies configuration information about the labels input, including its S3 location.
*
*
* @param labelsInputConfiguration
* Specifies configuration information about the labels input, including its S3 location.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public DescribeModelResult withLabelsInputConfiguration(LabelsInputConfiguration labelsInputConfiguration) {
setLabelsInputConfiguration(labelsInputConfiguration);
return this;
}
/**
*
* Indicates the time reference in the dataset that was used to begin the subset of training data for the ML model.
*
*
* @param trainingDataStartTime
* Indicates the time reference in the dataset that was used to begin the subset of training data for the ML
* model.
*/
public void setTrainingDataStartTime(java.util.Date trainingDataStartTime) {
this.trainingDataStartTime = trainingDataStartTime;
}
/**
*
* Indicates the time reference in the dataset that was used to begin the subset of training data for the ML model.
*
*
* @return Indicates the time reference in the dataset that was used to begin the subset of training data for the ML
* model.
*/
public java.util.Date getTrainingDataStartTime() {
return this.trainingDataStartTime;
}
/**
*
* Indicates the time reference in the dataset that was used to begin the subset of training data for the ML model.
*
*
* @param trainingDataStartTime
* Indicates the time reference in the dataset that was used to begin the subset of training data for the ML
* model.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public DescribeModelResult withTrainingDataStartTime(java.util.Date trainingDataStartTime) {
setTrainingDataStartTime(trainingDataStartTime);
return this;
}
/**
*
* Indicates the time reference in the dataset that was used to end the subset of training data for the ML model.
*
*
* @param trainingDataEndTime
* Indicates the time reference in the dataset that was used to end the subset of training data for the ML
* model.
*/
public void setTrainingDataEndTime(java.util.Date trainingDataEndTime) {
this.trainingDataEndTime = trainingDataEndTime;
}
/**
*
* Indicates the time reference in the dataset that was used to end the subset of training data for the ML model.
*
*
* @return Indicates the time reference in the dataset that was used to end the subset of training data for the ML
* model.
*/
public java.util.Date getTrainingDataEndTime() {
return this.trainingDataEndTime;
}
/**
*
* Indicates the time reference in the dataset that was used to end the subset of training data for the ML model.
*
*
* @param trainingDataEndTime
* Indicates the time reference in the dataset that was used to end the subset of training data for the ML
* model.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public DescribeModelResult withTrainingDataEndTime(java.util.Date trainingDataEndTime) {
setTrainingDataEndTime(trainingDataEndTime);
return this;
}
/**
*
* Indicates the time reference in the dataset that was used to begin the subset of evaluation data for the ML
* model.
*
*
* @param evaluationDataStartTime
* Indicates the time reference in the dataset that was used to begin the subset of evaluation data for the
* ML model.
*/
public void setEvaluationDataStartTime(java.util.Date evaluationDataStartTime) {
this.evaluationDataStartTime = evaluationDataStartTime;
}
/**
*
* Indicates the time reference in the dataset that was used to begin the subset of evaluation data for the ML
* model.
*
*
* @return Indicates the time reference in the dataset that was used to begin the subset of evaluation data for the
* ML model.
*/
public java.util.Date getEvaluationDataStartTime() {
return this.evaluationDataStartTime;
}
/**
*
* Indicates the time reference in the dataset that was used to begin the subset of evaluation data for the ML
* model.
*
*
* @param evaluationDataStartTime
* Indicates the time reference in the dataset that was used to begin the subset of evaluation data for the
* ML model.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public DescribeModelResult withEvaluationDataStartTime(java.util.Date evaluationDataStartTime) {
setEvaluationDataStartTime(evaluationDataStartTime);
return this;
}
/**
*
* Indicates the time reference in the dataset that was used to end the subset of evaluation data for the ML model.
*
*
* @param evaluationDataEndTime
* Indicates the time reference in the dataset that was used to end the subset of evaluation data for the ML
* model.
*/
public void setEvaluationDataEndTime(java.util.Date evaluationDataEndTime) {
this.evaluationDataEndTime = evaluationDataEndTime;
}
/**
*
* Indicates the time reference in the dataset that was used to end the subset of evaluation data for the ML model.
*
*
* @return Indicates the time reference in the dataset that was used to end the subset of evaluation data for the ML
* model.
*/
public java.util.Date getEvaluationDataEndTime() {
return this.evaluationDataEndTime;
}
/**
*
* Indicates the time reference in the dataset that was used to end the subset of evaluation data for the ML model.
*
*
* @param evaluationDataEndTime
* Indicates the time reference in the dataset that was used to end the subset of evaluation data for the ML
* model.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public DescribeModelResult withEvaluationDataEndTime(java.util.Date evaluationDataEndTime) {
setEvaluationDataEndTime(evaluationDataEndTime);
return this;
}
/**
*
* The Amazon Resource Name (ARN) of a role with permission to access the data source for the ML model being
* described.
*
*
* @param roleArn
* The Amazon Resource Name (ARN) of a role with permission to access the data source for the ML model being
* described.
*/
public void setRoleArn(String roleArn) {
this.roleArn = roleArn;
}
/**
*
* The Amazon Resource Name (ARN) of a role with permission to access the data source for the ML model being
* described.
*
*
* @return The Amazon Resource Name (ARN) of a role with permission to access the data source for the ML model being
* described.
*/
public String getRoleArn() {
return this.roleArn;
}
/**
*
* The Amazon Resource Name (ARN) of a role with permission to access the data source for the ML model being
* described.
*
*
* @param roleArn
* The Amazon Resource Name (ARN) of a role with permission to access the data source for the ML model being
* described.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public DescribeModelResult withRoleArn(String roleArn) {
setRoleArn(roleArn);
return this;
}
/**
*
* The configuration is the TargetSamplingRate, which is the sampling rate of the data after post
* processing by Amazon Lookout for Equipment. For example, if you provide data that has been collected at a 1
* second level and you want the system to resample the data at a 1 minute rate before training, the
* TargetSamplingRate is 1 minute.
*
*
* When providing a value for the TargetSamplingRate, you must attach the prefix "PT" to the rate you
* want. The value for a 1 second rate is therefore PT1S, the value for a 15 minute rate is PT15M, and
* the value for a 1 hour rate is PT1H
*
*
* @param dataPreProcessingConfiguration
* The configuration is the TargetSamplingRate, which is the sampling rate of the data after
* post processing by Amazon Lookout for Equipment. For example, if you provide data that has been collected
* at a 1 second level and you want the system to resample the data at a 1 minute rate before training, the
* TargetSamplingRate is 1 minute.
*
* When providing a value for the TargetSamplingRate, you must attach the prefix "PT" to the
* rate you want. The value for a 1 second rate is therefore PT1S, the value for a 15 minute rate is
* PT15M, and the value for a 1 hour rate is PT1H
*/
public void setDataPreProcessingConfiguration(DataPreProcessingConfiguration dataPreProcessingConfiguration) {
this.dataPreProcessingConfiguration = dataPreProcessingConfiguration;
}
/**
*
* The configuration is the TargetSamplingRate, which is the sampling rate of the data after post
* processing by Amazon Lookout for Equipment. For example, if you provide data that has been collected at a 1
* second level and you want the system to resample the data at a 1 minute rate before training, the
* TargetSamplingRate is 1 minute.
*
*
* When providing a value for the TargetSamplingRate, you must attach the prefix "PT" to the rate you
* want. The value for a 1 second rate is therefore PT1S, the value for a 15 minute rate is PT15M, and
* the value for a 1 hour rate is PT1H
*
*
* @return The configuration is the TargetSamplingRate, which is the sampling rate of the data after
* post processing by Amazon Lookout for Equipment. For example, if you provide data that has been collected
* at a 1 second level and you want the system to resample the data at a 1 minute rate before training, the
* TargetSamplingRate is 1 minute.
*
* When providing a value for the TargetSamplingRate, you must attach the prefix "PT" to the
* rate you want. The value for a 1 second rate is therefore PT1S, the value for a 15 minute rate is
* PT15M, and the value for a 1 hour rate is PT1H
*/
public DataPreProcessingConfiguration getDataPreProcessingConfiguration() {
return this.dataPreProcessingConfiguration;
}
/**
*
* The configuration is the TargetSamplingRate, which is the sampling rate of the data after post
* processing by Amazon Lookout for Equipment. For example, if you provide data that has been collected at a 1
* second level and you want the system to resample the data at a 1 minute rate before training, the
* TargetSamplingRate is 1 minute.
*
*
* When providing a value for the TargetSamplingRate, you must attach the prefix "PT" to the rate you
* want. The value for a 1 second rate is therefore PT1S, the value for a 15 minute rate is PT15M, and
* the value for a 1 hour rate is PT1H
*
*
* @param dataPreProcessingConfiguration
* The configuration is the TargetSamplingRate, which is the sampling rate of the data after
* post processing by Amazon Lookout for Equipment. For example, if you provide data that has been collected
* at a 1 second level and you want the system to resample the data at a 1 minute rate before training, the
* TargetSamplingRate is 1 minute.
*
* When providing a value for the TargetSamplingRate, you must attach the prefix "PT" to the
* rate you want. The value for a 1 second rate is therefore PT1S, the value for a 15 minute rate is
* PT15M, and the value for a 1 hour rate is PT1H
* @return Returns a reference to this object so that method calls can be chained together.
*/
public DescribeModelResult withDataPreProcessingConfiguration(DataPreProcessingConfiguration dataPreProcessingConfiguration) {
setDataPreProcessingConfiguration(dataPreProcessingConfiguration);
return this;
}
/**
*
* Specifies the current status of the model being described. Status describes the status of the most recent action
* of the model.
*
*
* @param status
* Specifies the current status of the model being described. Status describes the status of the most recent
* action of the model.
* @see ModelStatus
*/
public void setStatus(String status) {
this.status = status;
}
/**
*
* Specifies the current status of the model being described. Status describes the status of the most recent action
* of the model.
*
*
* @return Specifies the current status of the model being described. Status describes the status of the most recent
* action of the model.
* @see ModelStatus
*/
public String getStatus() {
return this.status;
}
/**
*
* Specifies the current status of the model being described. Status describes the status of the most recent action
* of the model.
*
*
* @param status
* Specifies the current status of the model being described. Status describes the status of the most recent
* action of the model.
* @return Returns a reference to this object so that method calls can be chained together.
* @see ModelStatus
*/
public DescribeModelResult withStatus(String status) {
setStatus(status);
return this;
}
/**
*
* Specifies the current status of the model being described. Status describes the status of the most recent action
* of the model.
*
*
* @param status
* Specifies the current status of the model being described. Status describes the status of the most recent
* action of the model.
* @return Returns a reference to this object so that method calls can be chained together.
* @see ModelStatus
*/
public DescribeModelResult withStatus(ModelStatus status) {
this.status = status.toString();
return this;
}
/**
*
* Indicates the time at which the training of the ML model began.
*
*
* @param trainingExecutionStartTime
* Indicates the time at which the training of the ML model began.
*/
public void setTrainingExecutionStartTime(java.util.Date trainingExecutionStartTime) {
this.trainingExecutionStartTime = trainingExecutionStartTime;
}
/**
*
* Indicates the time at which the training of the ML model began.
*
*
* @return Indicates the time at which the training of the ML model began.
*/
public java.util.Date getTrainingExecutionStartTime() {
return this.trainingExecutionStartTime;
}
/**
*
* Indicates the time at which the training of the ML model began.
*
*
* @param trainingExecutionStartTime
* Indicates the time at which the training of the ML model began.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public DescribeModelResult withTrainingExecutionStartTime(java.util.Date trainingExecutionStartTime) {
setTrainingExecutionStartTime(trainingExecutionStartTime);
return this;
}
/**
*
* Indicates the time at which the training of the ML model was completed.
*
*
* @param trainingExecutionEndTime
* Indicates the time at which the training of the ML model was completed.
*/
public void setTrainingExecutionEndTime(java.util.Date trainingExecutionEndTime) {
this.trainingExecutionEndTime = trainingExecutionEndTime;
}
/**
*
* Indicates the time at which the training of the ML model was completed.
*
*
* @return Indicates the time at which the training of the ML model was completed.
*/
public java.util.Date getTrainingExecutionEndTime() {
return this.trainingExecutionEndTime;
}
/**
*
* Indicates the time at which the training of the ML model was completed.
*
*
* @param trainingExecutionEndTime
* Indicates the time at which the training of the ML model was completed.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public DescribeModelResult withTrainingExecutionEndTime(java.util.Date trainingExecutionEndTime) {
setTrainingExecutionEndTime(trainingExecutionEndTime);
return this;
}
/**
*
* If the training of the ML model failed, this indicates the reason for that failure.
*
*
* @param failedReason
* If the training of the ML model failed, this indicates the reason for that failure.
*/
public void setFailedReason(String failedReason) {
this.failedReason = failedReason;
}
/**
*
* If the training of the ML model failed, this indicates the reason for that failure.
*
*
* @return If the training of the ML model failed, this indicates the reason for that failure.
*/
public String getFailedReason() {
return this.failedReason;
}
/**
*
* If the training of the ML model failed, this indicates the reason for that failure.
*
*
* @param failedReason
* If the training of the ML model failed, this indicates the reason for that failure.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public DescribeModelResult withFailedReason(String failedReason) {
setFailedReason(failedReason);
return this;
}
/**
*
* The Model Metrics show an aggregated summary of the model's performance within the evaluation time range. This is
* the JSON content of the metrics created when evaluating the model.
*
*
* This field's value must be valid JSON according to RFC 7159, including the opening and closing braces. For
* example: '{"key": "value"}'.
*
*
* The AWS SDK for Java performs a Base64 encoding on this field before sending this request to the AWS service.
* Users of the SDK should not perform Base64 encoding on this field.
*
*
* @param modelMetrics
* The Model Metrics show an aggregated summary of the model's performance within the evaluation time range.
* This is the JSON content of the metrics created when evaluating the model.
*/
public void setModelMetrics(String modelMetrics) {
this.modelMetrics = modelMetrics;
}
/**
*
* The Model Metrics show an aggregated summary of the model's performance within the evaluation time range. This is
* the JSON content of the metrics created when evaluating the model.
*
*
* This field's value will be valid JSON according to RFC 7159, including the opening and closing braces. For
* example: '{"key": "value"}'.
*
*
* @return The Model Metrics show an aggregated summary of the model's performance within the evaluation time range.
* This is the JSON content of the metrics created when evaluating the model.
*/
public String getModelMetrics() {
return this.modelMetrics;
}
/**
*
* The Model Metrics show an aggregated summary of the model's performance within the evaluation time range. This is
* the JSON content of the metrics created when evaluating the model.
*
*
* This field's value must be valid JSON according to RFC 7159, including the opening and closing braces. For
* example: '{"key": "value"}'.
*
*
* The AWS SDK for Java performs a Base64 encoding on this field before sending this request to the AWS service.
* Users of the SDK should not perform Base64 encoding on this field.
*
*
* @param modelMetrics
* The Model Metrics show an aggregated summary of the model's performance within the evaluation time range.
* This is the JSON content of the metrics created when evaluating the model.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public DescribeModelResult withModelMetrics(String modelMetrics) {
setModelMetrics(modelMetrics);
return this;
}
/**
*
* Indicates the last time the ML model was updated. The type of update is not specified.
*
*
* @param lastUpdatedTime
* Indicates the last time the ML model was updated. The type of update is not specified.
*/
public void setLastUpdatedTime(java.util.Date lastUpdatedTime) {
this.lastUpdatedTime = lastUpdatedTime;
}
/**
*
* Indicates the last time the ML model was updated. The type of update is not specified.
*
*
* @return Indicates the last time the ML model was updated. The type of update is not specified.
*/
public java.util.Date getLastUpdatedTime() {
return this.lastUpdatedTime;
}
/**
*
* Indicates the last time the ML model was updated. The type of update is not specified.
*
*
* @param lastUpdatedTime
* Indicates the last time the ML model was updated. The type of update is not specified.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public DescribeModelResult withLastUpdatedTime(java.util.Date lastUpdatedTime) {
setLastUpdatedTime(lastUpdatedTime);
return this;
}
/**
*
* Indicates the time and date at which the ML model was created.
*
*
* @param createdAt
* Indicates the time and date at which the ML model was created.
*/
public void setCreatedAt(java.util.Date createdAt) {
this.createdAt = createdAt;
}
/**
*
* Indicates the time and date at which the ML model was created.
*
*
* @return Indicates the time and date at which the ML model was created.
*/
public java.util.Date getCreatedAt() {
return this.createdAt;
}
/**
*
* Indicates the time and date at which the ML model was created.
*
*
* @param createdAt
* Indicates the time and date at which the ML model was created.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public DescribeModelResult withCreatedAt(java.util.Date createdAt) {
setCreatedAt(createdAt);
return this;
}
/**
*
* Provides the identifier of the AWS KMS customer master key (CMK) used to encrypt model data by Amazon Lookout for
* Equipment.
*
*
* @param serverSideKmsKeyId
* Provides the identifier of the AWS KMS customer master key (CMK) used to encrypt model data by Amazon
* Lookout for Equipment.
*/
public void setServerSideKmsKeyId(String serverSideKmsKeyId) {
this.serverSideKmsKeyId = serverSideKmsKeyId;
}
/**
*
* Provides the identifier of the AWS KMS customer master key (CMK) used to encrypt model data by Amazon Lookout for
* Equipment.
*
*
* @return Provides the identifier of the AWS KMS customer master key (CMK) used to encrypt model data by Amazon
* Lookout for Equipment.
*/
public String getServerSideKmsKeyId() {
return this.serverSideKmsKeyId;
}
/**
*
* Provides the identifier of the AWS KMS customer master key (CMK) used to encrypt model data by Amazon Lookout for
* Equipment.
*
*
* @param serverSideKmsKeyId
* Provides the identifier of the AWS KMS customer master key (CMK) 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 DescribeModelResult withServerSideKmsKeyId(String serverSideKmsKeyId) {
setServerSideKmsKeyId(serverSideKmsKeyId);
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 (getModelName() != null)
sb.append("ModelName: ").append(getModelName()).append(",");
if (getModelArn() != null)
sb.append("ModelArn: ").append(getModelArn()).append(",");
if (getDatasetName() != null)
sb.append("DatasetName: ").append(getDatasetName()).append(",");
if (getDatasetArn() != null)
sb.append("DatasetArn: ").append(getDatasetArn()).append(",");
if (getSchema() != null)
sb.append("Schema: ").append(getSchema()).append(",");
if (getLabelsInputConfiguration() != null)
sb.append("LabelsInputConfiguration: ").append(getLabelsInputConfiguration()).append(",");
if (getTrainingDataStartTime() != null)
sb.append("TrainingDataStartTime: ").append(getTrainingDataStartTime()).append(",");
if (getTrainingDataEndTime() != null)
sb.append("TrainingDataEndTime: ").append(getTrainingDataEndTime()).append(",");
if (getEvaluationDataStartTime() != null)
sb.append("EvaluationDataStartTime: ").append(getEvaluationDataStartTime()).append(",");
if (getEvaluationDataEndTime() != null)
sb.append("EvaluationDataEndTime: ").append(getEvaluationDataEndTime()).append(",");
if (getRoleArn() != null)
sb.append("RoleArn: ").append(getRoleArn()).append(",");
if (getDataPreProcessingConfiguration() != null)
sb.append("DataPreProcessingConfiguration: ").append(getDataPreProcessingConfiguration()).append(",");
if (getStatus() != null)
sb.append("Status: ").append(getStatus()).append(",");
if (getTrainingExecutionStartTime() != null)
sb.append("TrainingExecutionStartTime: ").append(getTrainingExecutionStartTime()).append(",");
if (getTrainingExecutionEndTime() != null)
sb.append("TrainingExecutionEndTime: ").append(getTrainingExecutionEndTime()).append(",");
if (getFailedReason() != null)
sb.append("FailedReason: ").append(getFailedReason()).append(",");
if (getModelMetrics() != null)
sb.append("ModelMetrics: ").append(getModelMetrics()).append(",");
if (getLastUpdatedTime() != null)
sb.append("LastUpdatedTime: ").append(getLastUpdatedTime()).append(",");
if (getCreatedAt() != null)
sb.append("CreatedAt: ").append(getCreatedAt()).append(",");
if (getServerSideKmsKeyId() != null)
sb.append("ServerSideKmsKeyId: ").append(getServerSideKmsKeyId());
sb.append("}");
return sb.toString();
}
@Override
public boolean equals(Object obj) {
if (this == obj)
return true;
if (obj == null)
return false;
if (obj instanceof DescribeModelResult == false)
return false;
DescribeModelResult other = (DescribeModelResult) obj;
if (other.getModelName() == null ^ this.getModelName() == null)
return false;
if (other.getModelName() != null && other.getModelName().equals(this.getModelName()) == false)
return false;
if (other.getModelArn() == null ^ this.getModelArn() == null)
return false;
if (other.getModelArn() != null && other.getModelArn().equals(this.getModelArn()) == 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.getDatasetArn() == null ^ this.getDatasetArn() == null)
return false;
if (other.getDatasetArn() != null && other.getDatasetArn().equals(this.getDatasetArn()) == false)
return false;
if (other.getSchema() == null ^ this.getSchema() == null)
return false;
if (other.getSchema() != null && other.getSchema().equals(this.getSchema()) == 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.getTrainingDataStartTime() == null ^ this.getTrainingDataStartTime() == null)
return false;
if (other.getTrainingDataStartTime() != null && other.getTrainingDataStartTime().equals(this.getTrainingDataStartTime()) == false)
return false;
if (other.getTrainingDataEndTime() == null ^ this.getTrainingDataEndTime() == null)
return false;
if (other.getTrainingDataEndTime() != null && other.getTrainingDataEndTime().equals(this.getTrainingDataEndTime()) == false)
return false;
if (other.getEvaluationDataStartTime() == null ^ this.getEvaluationDataStartTime() == null)
return false;
if (other.getEvaluationDataStartTime() != null && other.getEvaluationDataStartTime().equals(this.getEvaluationDataStartTime()) == false)
return false;
if (other.getEvaluationDataEndTime() == null ^ this.getEvaluationDataEndTime() == null)
return false;
if (other.getEvaluationDataEndTime() != null && other.getEvaluationDataEndTime().equals(this.getEvaluationDataEndTime()) == 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.getDataPreProcessingConfiguration() == null ^ this.getDataPreProcessingConfiguration() == null)
return false;
if (other.getDataPreProcessingConfiguration() != null
&& other.getDataPreProcessingConfiguration().equals(this.getDataPreProcessingConfiguration()) == 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.getTrainingExecutionStartTime() == null ^ this.getTrainingExecutionStartTime() == null)
return false;
if (other.getTrainingExecutionStartTime() != null && other.getTrainingExecutionStartTime().equals(this.getTrainingExecutionStartTime()) == false)
return false;
if (other.getTrainingExecutionEndTime() == null ^ this.getTrainingExecutionEndTime() == null)
return false;
if (other.getTrainingExecutionEndTime() != null && other.getTrainingExecutionEndTime().equals(this.getTrainingExecutionEndTime()) == false)
return false;
if (other.getFailedReason() == null ^ this.getFailedReason() == null)
return false;
if (other.getFailedReason() != null && other.getFailedReason().equals(this.getFailedReason()) == false)
return false;
if (other.getModelMetrics() == null ^ this.getModelMetrics() == null)
return false;
if (other.getModelMetrics() != null && other.getModelMetrics().equals(this.getModelMetrics()) == false)
return false;
if (other.getLastUpdatedTime() == null ^ this.getLastUpdatedTime() == null)
return false;
if (other.getLastUpdatedTime() != null && other.getLastUpdatedTime().equals(this.getLastUpdatedTime()) == 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.getServerSideKmsKeyId() == null ^ this.getServerSideKmsKeyId() == null)
return false;
if (other.getServerSideKmsKeyId() != null && other.getServerSideKmsKeyId().equals(this.getServerSideKmsKeyId()) == false)
return false;
return true;
}
@Override
public int hashCode() {
final int prime = 31;
int hashCode = 1;
hashCode = prime * hashCode + ((getModelName() == null) ? 0 : getModelName().hashCode());
hashCode = prime * hashCode + ((getModelArn() == null) ? 0 : getModelArn().hashCode());
hashCode = prime * hashCode + ((getDatasetName() == null) ? 0 : getDatasetName().hashCode());
hashCode = prime * hashCode + ((getDatasetArn() == null) ? 0 : getDatasetArn().hashCode());
hashCode = prime * hashCode + ((getSchema() == null) ? 0 : getSchema().hashCode());
hashCode = prime * hashCode + ((getLabelsInputConfiguration() == null) ? 0 : getLabelsInputConfiguration().hashCode());
hashCode = prime * hashCode + ((getTrainingDataStartTime() == null) ? 0 : getTrainingDataStartTime().hashCode());
hashCode = prime * hashCode + ((getTrainingDataEndTime() == null) ? 0 : getTrainingDataEndTime().hashCode());
hashCode = prime * hashCode + ((getEvaluationDataStartTime() == null) ? 0 : getEvaluationDataStartTime().hashCode());
hashCode = prime * hashCode + ((getEvaluationDataEndTime() == null) ? 0 : getEvaluationDataEndTime().hashCode());
hashCode = prime * hashCode + ((getRoleArn() == null) ? 0 : getRoleArn().hashCode());
hashCode = prime * hashCode + ((getDataPreProcessingConfiguration() == null) ? 0 : getDataPreProcessingConfiguration().hashCode());
hashCode = prime * hashCode + ((getStatus() == null) ? 0 : getStatus().hashCode());
hashCode = prime * hashCode + ((getTrainingExecutionStartTime() == null) ? 0 : getTrainingExecutionStartTime().hashCode());
hashCode = prime * hashCode + ((getTrainingExecutionEndTime() == null) ? 0 : getTrainingExecutionEndTime().hashCode());
hashCode = prime * hashCode + ((getFailedReason() == null) ? 0 : getFailedReason().hashCode());
hashCode = prime * hashCode + ((getModelMetrics() == null) ? 0 : getModelMetrics().hashCode());
hashCode = prime * hashCode + ((getLastUpdatedTime() == null) ? 0 : getLastUpdatedTime().hashCode());
hashCode = prime * hashCode + ((getCreatedAt() == null) ? 0 : getCreatedAt().hashCode());
hashCode = prime * hashCode + ((getServerSideKmsKeyId() == null) ? 0 : getServerSideKmsKeyId().hashCode());
return hashCode;
}
@Override
public DescribeModelResult clone() {
try {
return (DescribeModelResult) super.clone();
} catch (CloneNotSupportedException e) {
throw new IllegalStateException("Got a CloneNotSupportedException from Object.clone() " + "even though we're Cloneable!", e);
}
}
}