com.google.api.services.bigquery.model.ArimaForecastingMetrics 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;
/**
* Model evaluation metrics for ARIMA forecasting 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 ArimaForecastingMetrics extends com.google.api.client.json.GenericJson {
/**
* Arima model fitting metrics.
* The value may be {@code null}.
*/
@com.google.api.client.util.Key
private java.util.List arimaFittingMetrics;
static {
// hack to force ProGuard to consider ArimaFittingMetrics 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(ArimaFittingMetrics.class);
}
/**
* Repeated as there can be many metric sets (one for each model) in auto-arima and the large-
* scale case.
* The value may be {@code null}.
*/
@com.google.api.client.util.Key
private java.util.List arimaSingleModelForecastingMetrics;
/**
* Whether Arima model fitted with drift or not. It is always false when d is not 1.
* The value may be {@code null}.
*/
@com.google.api.client.util.Key
private java.util.List hasDrift;
/**
* Non-seasonal order.
* The value may be {@code null}.
*/
@com.google.api.client.util.Key
private java.util.List nonSeasonalOrder;
/**
* Seasonal periods. Repeated because multiple periods are supported for one time series.
* The value may be {@code null}.
*/
@com.google.api.client.util.Key
private java.util.List seasonalPeriods;
/**
* Id to differentiate different time series for the large-scale case.
* The value may be {@code null}.
*/
@com.google.api.client.util.Key
private java.util.List timeSeriesId;
/**
* Arima model fitting metrics.
* @return value or {@code null} for none
*/
public java.util.List getArimaFittingMetrics() {
return arimaFittingMetrics;
}
/**
* Arima model fitting metrics.
* @param arimaFittingMetrics arimaFittingMetrics or {@code null} for none
*/
public ArimaForecastingMetrics setArimaFittingMetrics(java.util.List arimaFittingMetrics) {
this.arimaFittingMetrics = arimaFittingMetrics;
return this;
}
/**
* Repeated as there can be many metric sets (one for each model) in auto-arima and the large-
* scale case.
* @return value or {@code null} for none
*/
public java.util.List getArimaSingleModelForecastingMetrics() {
return arimaSingleModelForecastingMetrics;
}
/**
* Repeated as there can be many metric sets (one for each model) in auto-arima and the large-
* scale case.
* @param arimaSingleModelForecastingMetrics arimaSingleModelForecastingMetrics or {@code null} for none
*/
public ArimaForecastingMetrics setArimaSingleModelForecastingMetrics(java.util.List arimaSingleModelForecastingMetrics) {
this.arimaSingleModelForecastingMetrics = arimaSingleModelForecastingMetrics;
return this;
}
/**
* Whether Arima model fitted with drift or not. It is always false when d is not 1.
* @return value or {@code null} for none
*/
public java.util.List getHasDrift() {
return hasDrift;
}
/**
* Whether Arima model fitted with drift or not. It is always false when d is not 1.
* @param hasDrift hasDrift or {@code null} for none
*/
public ArimaForecastingMetrics setHasDrift(java.util.List hasDrift) {
this.hasDrift = hasDrift;
return this;
}
/**
* Non-seasonal order.
* @return value or {@code null} for none
*/
public java.util.List getNonSeasonalOrder() {
return nonSeasonalOrder;
}
/**
* Non-seasonal order.
* @param nonSeasonalOrder nonSeasonalOrder or {@code null} for none
*/
public ArimaForecastingMetrics setNonSeasonalOrder(java.util.List nonSeasonalOrder) {
this.nonSeasonalOrder = nonSeasonalOrder;
return this;
}
/**
* Seasonal periods. Repeated because multiple periods are supported for one time series.
* @return value or {@code null} for none
*/
public java.util.List getSeasonalPeriods() {
return seasonalPeriods;
}
/**
* Seasonal periods. Repeated because multiple periods are supported for one time series.
* @param seasonalPeriods seasonalPeriods or {@code null} for none
*/
public ArimaForecastingMetrics setSeasonalPeriods(java.util.List seasonalPeriods) {
this.seasonalPeriods = seasonalPeriods;
return this;
}
/**
* Id to differentiate different time series for the large-scale case.
* @return value or {@code null} for none
*/
public java.util.List getTimeSeriesId() {
return timeSeriesId;
}
/**
* Id to differentiate different time series for the large-scale case.
* @param timeSeriesId timeSeriesId or {@code null} for none
*/
public ArimaForecastingMetrics setTimeSeriesId(java.util.List timeSeriesId) {
this.timeSeriesId = timeSeriesId;
return this;
}
@Override
public ArimaForecastingMetrics set(String fieldName, Object value) {
return (ArimaForecastingMetrics) super.set(fieldName, value);
}
@Override
public ArimaForecastingMetrics clone() {
return (ArimaForecastingMetrics) super.clone();
}
}