com.google.api.services.bigquery.model.BinaryClassificationMetrics 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 binary classification/classifier 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 BinaryClassificationMetrics extends com.google.api.client.json.GenericJson {
/**
* Aggregate classification metrics.
* The value may be {@code null}.
*/
@com.google.api.client.util.Key
private AggregateClassificationMetrics aggregateClassificationMetrics;
/**
* Binary confusion matrix at multiple thresholds.
* The value may be {@code null}.
*/
@com.google.api.client.util.Key
private java.util.List binaryConfusionMatrixList;
/**
* Label representing the negative class.
* The value may be {@code null}.
*/
@com.google.api.client.util.Key
private java.lang.String negativeLabel;
/**
* Label representing the positive class.
* The value may be {@code null}.
*/
@com.google.api.client.util.Key
private java.lang.String positiveLabel;
/**
* Aggregate classification metrics.
* @return value or {@code null} for none
*/
public AggregateClassificationMetrics getAggregateClassificationMetrics() {
return aggregateClassificationMetrics;
}
/**
* Aggregate classification metrics.
* @param aggregateClassificationMetrics aggregateClassificationMetrics or {@code null} for none
*/
public BinaryClassificationMetrics setAggregateClassificationMetrics(AggregateClassificationMetrics aggregateClassificationMetrics) {
this.aggregateClassificationMetrics = aggregateClassificationMetrics;
return this;
}
/**
* Binary confusion matrix at multiple thresholds.
* @return value or {@code null} for none
*/
public java.util.List getBinaryConfusionMatrixList() {
return binaryConfusionMatrixList;
}
/**
* Binary confusion matrix at multiple thresholds.
* @param binaryConfusionMatrixList binaryConfusionMatrixList or {@code null} for none
*/
public BinaryClassificationMetrics setBinaryConfusionMatrixList(java.util.List binaryConfusionMatrixList) {
this.binaryConfusionMatrixList = binaryConfusionMatrixList;
return this;
}
/**
* Label representing the negative class.
* @return value or {@code null} for none
*/
public java.lang.String getNegativeLabel() {
return negativeLabel;
}
/**
* Label representing the negative class.
* @param negativeLabel negativeLabel or {@code null} for none
*/
public BinaryClassificationMetrics setNegativeLabel(java.lang.String negativeLabel) {
this.negativeLabel = negativeLabel;
return this;
}
/**
* Label representing the positive class.
* @return value or {@code null} for none
*/
public java.lang.String getPositiveLabel() {
return positiveLabel;
}
/**
* Label representing the positive class.
* @param positiveLabel positiveLabel or {@code null} for none
*/
public BinaryClassificationMetrics setPositiveLabel(java.lang.String positiveLabel) {
this.positiveLabel = positiveLabel;
return this;
}
@Override
public BinaryClassificationMetrics set(String fieldName, Object value) {
return (BinaryClassificationMetrics) super.set(fieldName, value);
}
@Override
public BinaryClassificationMetrics clone() {
return (BinaryClassificationMetrics) super.clone();
}
}