@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public class CreateForecastRequest extends AmazonWebServiceRequest implements Serializable, Cloneable
NOOP| Constructor and Description |
|---|
CreateForecastRequest() |
| Modifier and Type | Method and Description |
|---|---|
CreateForecastRequest |
clone() |
boolean |
equals(Object obj) |
String |
getForecastName()
A name for the forecast.
|
List<String> |
getForecastTypes()
The quantiles at which probabilistic forecasts are generated.
|
String |
getPredictorArn()
The Amazon Resource Name (ARN) of the predictor to use to generate the forecast.
|
int |
hashCode() |
void |
setForecastName(String forecastName)
A name for the forecast.
|
void |
setForecastTypes(Collection<String> forecastTypes)
The quantiles at which probabilistic forecasts are generated.
|
void |
setPredictorArn(String predictorArn)
The Amazon Resource Name (ARN) of the predictor to use to generate the forecast.
|
String |
toString()
Returns a string representation of this object.
|
CreateForecastRequest |
withForecastName(String forecastName)
A name for the forecast.
|
CreateForecastRequest |
withForecastTypes(Collection<String> forecastTypes)
The quantiles at which probabilistic forecasts are generated.
|
CreateForecastRequest |
withForecastTypes(String... forecastTypes)
The quantiles at which probabilistic forecasts are generated.
|
CreateForecastRequest |
withPredictorArn(String predictorArn)
The Amazon Resource Name (ARN) of the predictor to use to generate the forecast.
|
addHandlerContext, copyBaseTo, getCloneRoot, getCloneSource, getCustomQueryParameters, getCustomRequestHeaders, getGeneralProgressListener, getHandlerContext, getReadLimit, getRequestClientOptions, getRequestCredentials, getRequestCredentialsProvider, getRequestMetricCollector, getSdkClientExecutionTimeout, getSdkRequestTimeout, putCustomQueryParameter, putCustomRequestHeader, setGeneralProgressListener, setRequestCredentials, setRequestCredentialsProvider, setRequestMetricCollector, setSdkClientExecutionTimeout, setSdkRequestTimeout, withGeneralProgressListener, withRequestCredentialsProvider, withRequestMetricCollector, withSdkClientExecutionTimeout, withSdkRequestTimeoutpublic void setForecastName(String forecastName)
A name for the forecast.
forecastName - A name for the forecast.public String getForecastName()
A name for the forecast.
public CreateForecastRequest withForecastName(String forecastName)
A name for the forecast.
forecastName - A name for the forecast.public void setPredictorArn(String predictorArn)
The Amazon Resource Name (ARN) of the predictor to use to generate the forecast.
predictorArn - The Amazon Resource Name (ARN) of the predictor to use to generate the forecast.public String getPredictorArn()
The Amazon Resource Name (ARN) of the predictor to use to generate the forecast.
public CreateForecastRequest withPredictorArn(String predictorArn)
The Amazon Resource Name (ARN) of the predictor to use to generate the forecast.
predictorArn - The Amazon Resource Name (ARN) of the predictor to use to generate the forecast.public List<String> getForecastTypes()
The quantiles at which probabilistic forecasts are generated. You can specify up to 5 quantiles per forecast.
Accepted values include 0.01 to 0.99 (increments of .01 only) and mean. The mean
forecast is different from the median (0.50) when the distribution is not symmetric (e.g. Beta, Negative
Binomial). The default value is ["0.1", "0.5", "0.9"].
0.01 to 0.99 (increments of .01 only) and
mean. The mean forecast is different from the median (0.50) when the distribution is not
symmetric (e.g. Beta, Negative Binomial). The default value is ["0.1", "0.5", "0.9"].public void setForecastTypes(Collection<String> forecastTypes)
The quantiles at which probabilistic forecasts are generated. You can specify up to 5 quantiles per forecast.
Accepted values include 0.01 to 0.99 (increments of .01 only) and mean. The mean
forecast is different from the median (0.50) when the distribution is not symmetric (e.g. Beta, Negative
Binomial). The default value is ["0.1", "0.5", "0.9"].
forecastTypes - The quantiles at which probabilistic forecasts are generated. You can specify up to 5 quantiles per
forecast. Accepted values include 0.01 to 0.99 (increments of .01 only) and mean
. The mean forecast is different from the median (0.50) when the distribution is not symmetric (e.g. Beta,
Negative Binomial). The default value is ["0.1", "0.5", "0.9"].public CreateForecastRequest withForecastTypes(String... forecastTypes)
The quantiles at which probabilistic forecasts are generated. You can specify up to 5 quantiles per forecast.
Accepted values include 0.01 to 0.99 (increments of .01 only) and mean. The mean
forecast is different from the median (0.50) when the distribution is not symmetric (e.g. Beta, Negative
Binomial). The default value is ["0.1", "0.5", "0.9"].
NOTE: This method appends the values to the existing list (if any). Use
setForecastTypes(java.util.Collection) or withForecastTypes(java.util.Collection) if you want
to override the existing values.
forecastTypes - The quantiles at which probabilistic forecasts are generated. You can specify up to 5 quantiles per
forecast. Accepted values include 0.01 to 0.99 (increments of .01 only) and mean
. The mean forecast is different from the median (0.50) when the distribution is not symmetric (e.g. Beta,
Negative Binomial). The default value is ["0.1", "0.5", "0.9"].public CreateForecastRequest withForecastTypes(Collection<String> forecastTypes)
The quantiles at which probabilistic forecasts are generated. You can specify up to 5 quantiles per forecast.
Accepted values include 0.01 to 0.99 (increments of .01 only) and mean. The mean
forecast is different from the median (0.50) when the distribution is not symmetric (e.g. Beta, Negative
Binomial). The default value is ["0.1", "0.5", "0.9"].
forecastTypes - The quantiles at which probabilistic forecasts are generated. You can specify up to 5 quantiles per
forecast. Accepted values include 0.01 to 0.99 (increments of .01 only) and mean
. The mean forecast is different from the median (0.50) when the distribution is not symmetric (e.g. Beta,
Negative Binomial). The default value is ["0.1", "0.5", "0.9"].public String toString()
toString in class ObjectObject.toString()public CreateForecastRequest clone()
clone in class AmazonWebServiceRequestCopyright © 2019. All rights reserved.