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/*
 * 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.adexchangebuyer2.v2beta1.model;

/**
 * A metric value, with an expected value and a variance; represents a count that may be either
 * exact or estimated (for example, when sampled).
 *
 * 

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 Ad Exchange Buyer API II. 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 MetricValue extends com.google.api.client.json.GenericJson { /** * The expected value of the metric. * The value may be {@code null}. */ @com.google.api.client.util.Key @com.google.api.client.json.JsonString private java.lang.Long value; /** * The variance (for example, square of the standard deviation) of the metric value. If value is * exact, variance is 0. Can be used to calculate margin of error as a percentage of value, using * the following formula, where Z is the standard constant that depends on the preferred size of * the confidence interval (for example, for 90% confidence interval, use Z = 1.645): * marginOfError = 100 * Z * sqrt(variance) / value * The value may be {@code null}. */ @com.google.api.client.util.Key @com.google.api.client.json.JsonString private java.lang.Long variance; /** * The expected value of the metric. * @return value or {@code null} for none */ public java.lang.Long getValue() { return value; } /** * The expected value of the metric. * @param value value or {@code null} for none */ public MetricValue setValue(java.lang.Long value) { this.value = value; return this; } /** * The variance (for example, square of the standard deviation) of the metric value. If value is * exact, variance is 0. Can be used to calculate margin of error as a percentage of value, using * the following formula, where Z is the standard constant that depends on the preferred size of * the confidence interval (for example, for 90% confidence interval, use Z = 1.645): * marginOfError = 100 * Z * sqrt(variance) / value * @return value or {@code null} for none */ public java.lang.Long getVariance() { return variance; } /** * The variance (for example, square of the standard deviation) of the metric value. If value is * exact, variance is 0. Can be used to calculate margin of error as a percentage of value, using * the following formula, where Z is the standard constant that depends on the preferred size of * the confidence interval (for example, for 90% confidence interval, use Z = 1.645): * marginOfError = 100 * Z * sqrt(variance) / value * @param variance variance or {@code null} for none */ public MetricValue setVariance(java.lang.Long variance) { this.variance = variance; return this; } @Override public MetricValue set(String fieldName, Object value) { return (MetricValue) super.set(fieldName, value); } @Override public MetricValue clone() { return (MetricValue) super.clone(); } }




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