com.google.api.services.bigquery.model.IterationResult Maven / Gradle / Ivy
/*
* Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
* in compliance with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software distributed under the License
* 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.
*/
/*
* This code was generated by https://github.com/googleapis/google-api-java-client-services/
* Modify at your own risk.
*/
package com.google.api.services.bigquery.model;
/**
* Information about a single iteration of the training run.
*
* This is the Java data model class that specifies how to parse/serialize into the JSON that is
* transmitted over HTTP when working with the BigQuery API. For a detailed explanation see:
* https://developers.google.com/api-client-library/java/google-http-java-client/json
*
*
* @author Google, Inc.
*/
@SuppressWarnings("javadoc")
public final class IterationResult extends com.google.api.client.json.GenericJson {
/**
* Arima result.
* The value may be {@code null}.
*/
@com.google.api.client.util.Key
private ArimaResult arimaResult;
/**
* Information about top clusters for clustering models.
* The value may be {@code null}.
*/
@com.google.api.client.util.Key
private java.util.List clusterInfos;
static {
// hack to force ProGuard to consider ClusterInfo used, since otherwise it would be stripped out
// see https://github.com/google/google-api-java-client/issues/543
com.google.api.client.util.Data.nullOf(ClusterInfo.class);
}
/**
* Time taken to run the iteration in milliseconds.
* The value may be {@code null}.
*/
@com.google.api.client.util.Key @com.google.api.client.json.JsonString
private java.lang.Long durationMs;
/**
* Loss computed on the eval data at the end of iteration.
* The value may be {@code null}.
*/
@com.google.api.client.util.Key
private java.lang.Double evalLoss;
/**
* Index of the iteration, 0 based.
* The value may be {@code null}.
*/
@com.google.api.client.util.Key
private java.lang.Integer index;
/**
* Learn rate used for this iteration.
* The value may be {@code null}.
*/
@com.google.api.client.util.Key
private java.lang.Double learnRate;
/**
* The information of the principal components.
* The value may be {@code null}.
*/
@com.google.api.client.util.Key
private java.util.List principalComponentInfos;
/**
* Loss computed on the training data at the end of iteration.
* The value may be {@code null}.
*/
@com.google.api.client.util.Key
private java.lang.Double trainingLoss;
/**
* Arima result.
* @return value or {@code null} for none
*/
public ArimaResult getArimaResult() {
return arimaResult;
}
/**
* Arima result.
* @param arimaResult arimaResult or {@code null} for none
*/
public IterationResult setArimaResult(ArimaResult arimaResult) {
this.arimaResult = arimaResult;
return this;
}
/**
* Information about top clusters for clustering models.
* @return value or {@code null} for none
*/
public java.util.List getClusterInfos() {
return clusterInfos;
}
/**
* Information about top clusters for clustering models.
* @param clusterInfos clusterInfos or {@code null} for none
*/
public IterationResult setClusterInfos(java.util.List clusterInfos) {
this.clusterInfos = clusterInfos;
return this;
}
/**
* Time taken to run the iteration in milliseconds.
* @return value or {@code null} for none
*/
public java.lang.Long getDurationMs() {
return durationMs;
}
/**
* Time taken to run the iteration in milliseconds.
* @param durationMs durationMs or {@code null} for none
*/
public IterationResult setDurationMs(java.lang.Long durationMs) {
this.durationMs = durationMs;
return this;
}
/**
* Loss computed on the eval data at the end of iteration.
* @return value or {@code null} for none
*/
public java.lang.Double getEvalLoss() {
return evalLoss;
}
/**
* Loss computed on the eval data at the end of iteration.
* @param evalLoss evalLoss or {@code null} for none
*/
public IterationResult setEvalLoss(java.lang.Double evalLoss) {
this.evalLoss = evalLoss;
return this;
}
/**
* Index of the iteration, 0 based.
* @return value or {@code null} for none
*/
public java.lang.Integer getIndex() {
return index;
}
/**
* Index of the iteration, 0 based.
* @param index index or {@code null} for none
*/
public IterationResult setIndex(java.lang.Integer index) {
this.index = index;
return this;
}
/**
* Learn rate used for this iteration.
* @return value or {@code null} for none
*/
public java.lang.Double getLearnRate() {
return learnRate;
}
/**
* Learn rate used for this iteration.
* @param learnRate learnRate or {@code null} for none
*/
public IterationResult setLearnRate(java.lang.Double learnRate) {
this.learnRate = learnRate;
return this;
}
/**
* The information of the principal components.
* @return value or {@code null} for none
*/
public java.util.List getPrincipalComponentInfos() {
return principalComponentInfos;
}
/**
* The information of the principal components.
* @param principalComponentInfos principalComponentInfos or {@code null} for none
*/
public IterationResult setPrincipalComponentInfos(java.util.List principalComponentInfos) {
this.principalComponentInfos = principalComponentInfos;
return this;
}
/**
* Loss computed on the training data at the end of iteration.
* @return value or {@code null} for none
*/
public java.lang.Double getTrainingLoss() {
return trainingLoss;
}
/**
* Loss computed on the training data at the end of iteration.
* @param trainingLoss trainingLoss or {@code null} for none
*/
public IterationResult setTrainingLoss(java.lang.Double trainingLoss) {
this.trainingLoss = trainingLoss;
return this;
}
@Override
public IterationResult set(String fieldName, Object value) {
return (IterationResult) super.set(fieldName, value);
}
@Override
public IterationResult clone() {
return (IterationResult) super.clone();
}
}