Class CreateAutoPredictorRequest
- All Implemented Interfaces:
SdkPojo
,ToCopyableBuilder<CreateAutoPredictorRequest.Builder,
CreateAutoPredictorRequest>
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Nested Class Summary
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Method Summary
Modifier and TypeMethodDescriptionbuilder()
final DataConfig
The data configuration for your dataset group and any additional datasets.final EncryptionConfig
Returns the value of the EncryptionConfig property for this object.final boolean
final boolean
equalsBySdkFields
(Object obj) Indicates whether some other object is "equal to" this one by SDK fields.final Boolean
Create an Explainability resource for the predictor.An array of dimension (field) names that specify how to group the generated forecast.final String
The frequency of predictions in a forecast.final Integer
The number of time-steps that the model predicts.The forecast types used to train a predictor.final <T> Optional
<T> getValueForField
(String fieldName, Class<T> clazz) Used to retrieve the value of a field from any class that extendsSdkRequest
.final boolean
For responses, this returns true if the service returned a value for the ForecastDimensions property.final boolean
For responses, this returns true if the service returned a value for the ForecastTypes property.final int
hashCode()
final boolean
hasTags()
For responses, this returns true if the service returned a value for the Tags property.final MonitorConfig
The configuration details for predictor monitoring.final OptimizationMetric
The accuracy metric used to optimize the predictor.final String
The accuracy metric used to optimize the predictor.final String
A unique name for the predictorfinal String
The ARN of the predictor to retrain or upgrade.static Class
<? extends CreateAutoPredictorRequest.Builder> tags()
Optional metadata to help you categorize and organize your predictors.final TimeAlignmentBoundary
The time boundary Forecast uses to align and aggregate any data that doesn't align with your forecast frequency.Take this object and create a builder that contains all of the current property values of this object.final String
toString()
Returns a string representation of this object.Methods inherited from class software.amazon.awssdk.awscore.AwsRequest
overrideConfiguration
Methods inherited from interface software.amazon.awssdk.utils.builder.ToCopyableBuilder
copy
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Method Details
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predictorName
A unique name for the predictor
- Returns:
- A unique name for the predictor
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forecastHorizon
The number of time-steps that the model predicts. The forecast horizon is also called the prediction length.
The maximum forecast horizon is the lesser of 500 time-steps or 1/4 of the TARGET_TIME_SERIES dataset length. If you are retraining an existing AutoPredictor, then the maximum forecast horizon is the lesser of 500 time-steps or 1/3 of the TARGET_TIME_SERIES dataset length.
If you are upgrading to an AutoPredictor or retraining an existing AutoPredictor, you cannot update the forecast horizon parameter. You can meet this requirement by providing longer time-series in the dataset.
- Returns:
- The number of time-steps that the model predicts. The forecast horizon is also called the prediction
length.
The maximum forecast horizon is the lesser of 500 time-steps or 1/4 of the TARGET_TIME_SERIES dataset length. If you are retraining an existing AutoPredictor, then the maximum forecast horizon is the lesser of 500 time-steps or 1/3 of the TARGET_TIME_SERIES dataset length.
If you are upgrading to an AutoPredictor or retraining an existing AutoPredictor, you cannot update the forecast horizon parameter. You can meet this requirement by providing longer time-series in the dataset.
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hasForecastTypes
public final boolean hasForecastTypes()For responses, this returns true if the service returned a value for the ForecastTypes property. This DOES NOT check that the value is non-empty (for which, you should check theisEmpty()
method on the property). This is useful because the SDK will never return a null collection or map, but you may need to differentiate between the service returning nothing (or null) and the service returning an empty collection or map. For requests, this returns true if a value for the property was specified in the request builder, and false if a value was not specified. -
forecastTypes
The forecast types used to train a predictor. You can specify up to five forecast types. Forecast types can be quantiles from 0.01 to 0.99, by increments of 0.01 or higher. You can also specify the mean forecast with
mean
.Attempts to modify the collection returned by this method will result in an UnsupportedOperationException.
This method will never return null. If you would like to know whether the service returned this field (so that you can differentiate between null and empty), you can use the
hasForecastTypes()
method.- Returns:
- The forecast types used to train a predictor. You can specify up to five forecast types. Forecast types
can be quantiles from 0.01 to 0.99, by increments of 0.01 or higher. You can also specify the mean
forecast with
mean
.
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hasForecastDimensions
public final boolean hasForecastDimensions()For responses, this returns true if the service returned a value for the ForecastDimensions property. This DOES NOT check that the value is non-empty (for which, you should check theisEmpty()
method on the property). This is useful because the SDK will never return a null collection or map, but you may need to differentiate between the service returning nothing (or null) and the service returning an empty collection or map. For requests, this returns true if a value for the property was specified in the request builder, and false if a value was not specified. -
forecastDimensions
An array of dimension (field) names that specify how to group the generated forecast.
For example, if you are generating forecasts for item sales across all your stores, and your dataset contains a
store_id
field, you would specifystore_id
as a dimension to group sales forecasts for each store.Attempts to modify the collection returned by this method will result in an UnsupportedOperationException.
This method will never return null. If you would like to know whether the service returned this field (so that you can differentiate between null and empty), you can use the
hasForecastDimensions()
method.- Returns:
- An array of dimension (field) names that specify how to group the generated forecast.
For example, if you are generating forecasts for item sales across all your stores, and your dataset contains a
store_id
field, you would specifystore_id
as a dimension to group sales forecasts for each store.
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forecastFrequency
The frequency of predictions in a forecast.
Valid intervals are an integer followed by Y (Year), M (Month), W (Week), D (Day), H (Hour), and min (Minute). For example, "1D" indicates every day and "15min" indicates every 15 minutes. You cannot specify a value that would overlap with the next larger frequency. That means, for example, you cannot specify a frequency of 60 minutes, because that is equivalent to 1 hour. The valid values for each frequency are the following:
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Minute - 1-59
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Hour - 1-23
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Day - 1-6
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Week - 1-4
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Month - 1-11
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Year - 1
Thus, if you want every other week forecasts, specify "2W". Or, if you want quarterly forecasts, you specify "3M".
The frequency must be greater than or equal to the TARGET_TIME_SERIES dataset frequency.
When a RELATED_TIME_SERIES dataset is provided, the frequency must be equal to the RELATED_TIME_SERIES dataset frequency.
- Returns:
- The frequency of predictions in a forecast.
Valid intervals are an integer followed by Y (Year), M (Month), W (Week), D (Day), H (Hour), and min (Minute). For example, "1D" indicates every day and "15min" indicates every 15 minutes. You cannot specify a value that would overlap with the next larger frequency. That means, for example, you cannot specify a frequency of 60 minutes, because that is equivalent to 1 hour. The valid values for each frequency are the following:
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Minute - 1-59
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Hour - 1-23
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Day - 1-6
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Week - 1-4
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Month - 1-11
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Year - 1
Thus, if you want every other week forecasts, specify "2W". Or, if you want quarterly forecasts, you specify "3M".
The frequency must be greater than or equal to the TARGET_TIME_SERIES dataset frequency.
When a RELATED_TIME_SERIES dataset is provided, the frequency must be equal to the RELATED_TIME_SERIES dataset frequency.
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dataConfig
The data configuration for your dataset group and any additional datasets.
- Returns:
- The data configuration for your dataset group and any additional datasets.
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encryptionConfig
Returns the value of the EncryptionConfig property for this object.- Returns:
- The value of the EncryptionConfig property for this object.
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referencePredictorArn
The ARN of the predictor to retrain or upgrade. This parameter is only used when retraining or upgrading a predictor. When creating a new predictor, do not specify a value for this parameter.
When upgrading or retraining a predictor, only specify values for the
ReferencePredictorArn
andPredictorName
. The value forPredictorName
must be a unique predictor name.- Returns:
- The ARN of the predictor to retrain or upgrade. This parameter is only used when retraining or upgrading
a predictor. When creating a new predictor, do not specify a value for this parameter.
When upgrading or retraining a predictor, only specify values for the
ReferencePredictorArn
andPredictorName
. The value forPredictorName
must be a unique predictor name.
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optimizationMetric
The accuracy metric used to optimize the predictor.
If the service returns an enum value that is not available in the current SDK version,
optimizationMetric
will returnOptimizationMetric.UNKNOWN_TO_SDK_VERSION
. The raw value returned by the service is available fromoptimizationMetricAsString()
.- Returns:
- The accuracy metric used to optimize the predictor.
- See Also:
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optimizationMetricAsString
The accuracy metric used to optimize the predictor.
If the service returns an enum value that is not available in the current SDK version,
optimizationMetric
will returnOptimizationMetric.UNKNOWN_TO_SDK_VERSION
. The raw value returned by the service is available fromoptimizationMetricAsString()
.- Returns:
- The accuracy metric used to optimize the predictor.
- See Also:
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explainPredictor
Create an Explainability resource for the predictor.
- Returns:
- Create an Explainability resource for the predictor.
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hasTags
public final boolean hasTags()For responses, this returns true if the service returned a value for the Tags property. This DOES NOT check that the value is non-empty (for which, you should check theisEmpty()
method on the property). This is useful because the SDK will never return a null collection or map, but you may need to differentiate between the service returning nothing (or null) and the service returning an empty collection or map. For requests, this returns true if a value for the property was specified in the request builder, and false if a value was not specified. -
tags
Optional metadata to help you categorize and organize your predictors. Each tag consists of a key and an optional value, both of which you define. Tag keys and values are case sensitive.
The following restrictions apply to tags:
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For each resource, each tag key must be unique and each tag key must have one value.
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Maximum number of tags per resource: 50.
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Maximum key length: 128 Unicode characters in UTF-8.
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Maximum value length: 256 Unicode characters in UTF-8.
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Accepted characters: all letters and numbers, spaces representable in UTF-8, and + - = . _ : / @. If your tagging schema is used across other services and resources, the character restrictions of those services also apply.
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Key prefixes cannot include any upper or lowercase combination of
aws:
orAWS:
. Values can have this prefix. If a tag value hasaws
as its prefix but the key does not, Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix ofaws
do not count against your tags per resource limit. You cannot edit or delete tag keys with this prefix.
Attempts to modify the collection returned by this method will result in an UnsupportedOperationException.
This method will never return null. If you would like to know whether the service returned this field (so that you can differentiate between null and empty), you can use the
hasTags()
method.- Returns:
- Optional metadata to help you categorize and organize your predictors. Each tag consists of a key and an
optional value, both of which you define. Tag keys and values are case sensitive.
The following restrictions apply to tags:
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For each resource, each tag key must be unique and each tag key must have one value.
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Maximum number of tags per resource: 50.
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Maximum key length: 128 Unicode characters in UTF-8.
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Maximum value length: 256 Unicode characters in UTF-8.
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Accepted characters: all letters and numbers, spaces representable in UTF-8, and + - = . _ : / @. If your tagging schema is used across other services and resources, the character restrictions of those services also apply.
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Key prefixes cannot include any upper or lowercase combination of
aws:
orAWS:
. Values can have this prefix. If a tag value hasaws
as its prefix but the key does not, Forecast considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix ofaws
do not count against your tags per resource limit. You cannot edit or delete tag keys with this prefix.
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monitorConfig
The configuration details for predictor monitoring. Provide a name for the monitor resource to enable predictor monitoring.
Predictor monitoring allows you to see how your predictor's performance changes over time. For more information, see Predictor Monitoring.
- Returns:
- The configuration details for predictor monitoring. Provide a name for the monitor resource to enable
predictor monitoring.
Predictor monitoring allows you to see how your predictor's performance changes over time. For more information, see Predictor Monitoring.
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timeAlignmentBoundary
The time boundary Forecast uses to align and aggregate any data that doesn't align with your forecast frequency. Provide the unit of time and the time boundary as a key value pair. For more information on specifying a time boundary, see Specifying a Time Boundary. If you don't provide a time boundary, Forecast uses a set of Default Time Boundaries.
- Returns:
- The time boundary Forecast uses to align and aggregate any data that doesn't align with your forecast frequency. Provide the unit of time and the time boundary as a key value pair. For more information on specifying a time boundary, see Specifying a Time Boundary. If you don't provide a time boundary, Forecast uses a set of Default Time Boundaries.
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toBuilder
Description copied from interface:ToCopyableBuilder
Take this object and create a builder that contains all of the current property values of this object.- Specified by:
toBuilder
in interfaceToCopyableBuilder<CreateAutoPredictorRequest.Builder,
CreateAutoPredictorRequest> - Specified by:
toBuilder
in classForecastRequest
- Returns:
- a builder for type T
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builder
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serializableBuilderClass
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hashCode
public final int hashCode()- Overrides:
hashCode
in classAwsRequest
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equals
- Overrides:
equals
in classAwsRequest
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equalsBySdkFields
Description copied from interface:SdkPojo
Indicates whether some other object is "equal to" this one by SDK fields. An SDK field is a modeled, non-inherited field in anSdkPojo
class, and is generated based on a service model.If an
SdkPojo
class does not have any inherited fields,equalsBySdkFields
andequals
are essentially the same.- Specified by:
equalsBySdkFields
in interfaceSdkPojo
- Parameters:
obj
- the object to be compared with- Returns:
- true if the other object equals to this object by sdk fields, false otherwise.
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toString
Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value. -
getValueForField
Description copied from class:SdkRequest
Used to retrieve the value of a field from any class that extendsSdkRequest
. The field name specified should match the member name from the corresponding service-2.json model specified in the codegen-resources folder for a given service. The class specifies what class to cast the returned value to. If the returned value is also a modeled class, theSdkRequest.getValueForField(String, Class)
method will again be available.- Overrides:
getValueForField
in classSdkRequest
- Parameters:
fieldName
- The name of the member to be retrieved.clazz
- The class to cast the returned object to.- Returns:
- Optional containing the casted return value
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sdkFields
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