com.google.api.services.bigquery.model.ClusteringMetrics 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;
/**
* Evaluation metrics for clustering models.
*
* 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 ClusteringMetrics extends com.google.api.client.json.GenericJson {
/**
* Information for all clusters.
* The value may be {@code null}.
*/
@com.google.api.client.util.Key
private java.util.List clusters;
static {
// hack to force ProGuard to consider Cluster 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(Cluster.class);
}
/**
* Davies-Bouldin index.
* The value may be {@code null}.
*/
@com.google.api.client.util.Key
private java.lang.Double daviesBouldinIndex;
/**
* Mean of squared distances between each sample to its cluster centroid.
* The value may be {@code null}.
*/
@com.google.api.client.util.Key
private java.lang.Double meanSquaredDistance;
/**
* Information for all clusters.
* @return value or {@code null} for none
*/
public java.util.List getClusters() {
return clusters;
}
/**
* Information for all clusters.
* @param clusters clusters or {@code null} for none
*/
public ClusteringMetrics setClusters(java.util.List clusters) {
this.clusters = clusters;
return this;
}
/**
* Davies-Bouldin index.
* @return value or {@code null} for none
*/
public java.lang.Double getDaviesBouldinIndex() {
return daviesBouldinIndex;
}
/**
* Davies-Bouldin index.
* @param daviesBouldinIndex daviesBouldinIndex or {@code null} for none
*/
public ClusteringMetrics setDaviesBouldinIndex(java.lang.Double daviesBouldinIndex) {
this.daviesBouldinIndex = daviesBouldinIndex;
return this;
}
/**
* Mean of squared distances between each sample to its cluster centroid.
* @return value or {@code null} for none
*/
public java.lang.Double getMeanSquaredDistance() {
return meanSquaredDistance;
}
/**
* Mean of squared distances between each sample to its cluster centroid.
* @param meanSquaredDistance meanSquaredDistance or {@code null} for none
*/
public ClusteringMetrics setMeanSquaredDistance(java.lang.Double meanSquaredDistance) {
this.meanSquaredDistance = meanSquaredDistance;
return this;
}
@Override
public ClusteringMetrics set(String fieldName, Object value) {
return (ClusteringMetrics) super.set(fieldName, value);
}
@Override
public ClusteringMetrics clone() {
return (ClusteringMetrics) super.clone();
}
}