com.amazonaws.services.forecast.model.PredictorExecutionDetails Maven / Gradle / Ivy
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/*
* Copyright 2015-2020 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.forecast.model;
import java.io.Serializable;
import javax.annotation.Generated;
import com.amazonaws.protocol.StructuredPojo;
import com.amazonaws.protocol.ProtocolMarshaller;
/**
*
* Contains details on the backtests performed to evaluate the accuracy of the predictor. The tests are returned in
* descending order of accuracy, with the most accurate backtest appearing first. You specify the number of backtests to
* perform when you call the operation.
*
*
* @see AWS
* API Documentation
*/
@Generated("com.amazonaws:aws-java-sdk-code-generator")
public class PredictorExecutionDetails implements Serializable, Cloneable, StructuredPojo {
/**
*
* An array of the backtests performed to evaluate the accuracy of the predictor against a particular algorithm. The
* NumberOfBacktestWindows from the object determines the number of windows in the array.
*
*/
private java.util.List predictorExecutions;
/**
*
* An array of the backtests performed to evaluate the accuracy of the predictor against a particular algorithm. The
* NumberOfBacktestWindows from the object determines the number of windows in the array.
*
*
* @return An array of the backtests performed to evaluate the accuracy of the predictor against a particular
* algorithm. The NumberOfBacktestWindows from the object determines the number of windows in
* the array.
*/
public java.util.List getPredictorExecutions() {
return predictorExecutions;
}
/**
*
* An array of the backtests performed to evaluate the accuracy of the predictor against a particular algorithm. The
* NumberOfBacktestWindows from the object determines the number of windows in the array.
*
*
* @param predictorExecutions
* An array of the backtests performed to evaluate the accuracy of the predictor against a particular
* algorithm. The NumberOfBacktestWindows from the object determines the number of windows in
* the array.
*/
public void setPredictorExecutions(java.util.Collection predictorExecutions) {
if (predictorExecutions == null) {
this.predictorExecutions = null;
return;
}
this.predictorExecutions = new java.util.ArrayList(predictorExecutions);
}
/**
*
* An array of the backtests performed to evaluate the accuracy of the predictor against a particular algorithm. The
* NumberOfBacktestWindows from the object determines the number of windows in the array.
*
*
* NOTE: This method appends the values to the existing list (if any). Use
* {@link #setPredictorExecutions(java.util.Collection)} or {@link #withPredictorExecutions(java.util.Collection)}
* if you want to override the existing values.
*
*
* @param predictorExecutions
* An array of the backtests performed to evaluate the accuracy of the predictor against a particular
* algorithm. The NumberOfBacktestWindows from the object determines the number of windows in
* the array.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public PredictorExecutionDetails withPredictorExecutions(PredictorExecution... predictorExecutions) {
if (this.predictorExecutions == null) {
setPredictorExecutions(new java.util.ArrayList(predictorExecutions.length));
}
for (PredictorExecution ele : predictorExecutions) {
this.predictorExecutions.add(ele);
}
return this;
}
/**
*
* An array of the backtests performed to evaluate the accuracy of the predictor against a particular algorithm. The
* NumberOfBacktestWindows from the object determines the number of windows in the array.
*
*
* @param predictorExecutions
* An array of the backtests performed to evaluate the accuracy of the predictor against a particular
* algorithm. The NumberOfBacktestWindows from the object determines the number of windows in
* the array.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public PredictorExecutionDetails withPredictorExecutions(java.util.Collection predictorExecutions) {
setPredictorExecutions(predictorExecutions);
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 (getPredictorExecutions() != null)
sb.append("PredictorExecutions: ").append(getPredictorExecutions());
sb.append("}");
return sb.toString();
}
@Override
public boolean equals(Object obj) {
if (this == obj)
return true;
if (obj == null)
return false;
if (obj instanceof PredictorExecutionDetails == false)
return false;
PredictorExecutionDetails other = (PredictorExecutionDetails) obj;
if (other.getPredictorExecutions() == null ^ this.getPredictorExecutions() == null)
return false;
if (other.getPredictorExecutions() != null && other.getPredictorExecutions().equals(this.getPredictorExecutions()) == false)
return false;
return true;
}
@Override
public int hashCode() {
final int prime = 31;
int hashCode = 1;
hashCode = prime * hashCode + ((getPredictorExecutions() == null) ? 0 : getPredictorExecutions().hashCode());
return hashCode;
}
@Override
public PredictorExecutionDetails clone() {
try {
return (PredictorExecutionDetails) super.clone();
} catch (CloneNotSupportedException e) {
throw new IllegalStateException("Got a CloneNotSupportedException from Object.clone() " + "even though we're Cloneable!", e);
}
}
@com.amazonaws.annotation.SdkInternalApi
@Override
public void marshall(ProtocolMarshaller protocolMarshaller) {
com.amazonaws.services.forecast.model.transform.PredictorExecutionDetailsMarshaller.getInstance().marshall(this, protocolMarshaller);
}
}