@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public class CreateForecastRequest extends AmazonWebServiceRequest implements Serializable, Cloneable
NOOP
Constructor and Description |
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CreateForecastRequest() |
Modifier and Type | Method and Description |
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CreateForecastRequest |
clone()
Creates a shallow clone of this object for all fields except the handler context.
|
boolean |
equals(Object obj) |
String |
getForecastName()
A name for the forecast.
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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.
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int |
hashCode() |
void |
setForecastName(String forecastName)
A name for the forecast.
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void |
setForecastTypes(Collection<String> forecastTypes)
The quantiles at which probabilistic forecasts are generated.
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void |
setPredictorArn(String predictorArn)
The Amazon Resource Name (ARN) of the predictor to use to generate the forecast.
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String |
toString()
Returns a string representation of this object.
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CreateForecastRequest |
withForecastName(String forecastName)
A name for the forecast.
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CreateForecastRequest |
withForecastTypes(Collection<String> forecastTypes)
The quantiles at which probabilistic forecasts are generated.
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CreateForecastRequest |
withForecastTypes(String... forecastTypes)
The quantiles at which probabilistic forecasts are generated.
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CreateForecastRequest |
withPredictorArn(String predictorArn)
The Amazon Resource Name (ARN) of the predictor to use to generate the forecast.
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addHandlerContext, 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, withSdkRequestTimeout
public 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 Object
Object.toString()
public CreateForecastRequest clone()
AmazonWebServiceRequest
clone
in class AmazonWebServiceRequest
Object.clone()
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