Amazon.PowerShell.Cmdlets.FRC.AmazonForecastServiceClientCmdlet.ClientConfig
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Additional built-in datasets like Holidays and the Weather Index. Starting with version 4 of the SDK this property will default to null. If no data for this property is returned from the service the property will also be null. This was changed to improve performance and allow the SDK and caller to distinguish between a property not set or a property being empty to clear out a value. To retain the previous SDK behavior set the AWSConfigs.InitializeCollections static property to true.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | DataConfig_AdditionalDatasets |
Aggregation and filling options for attributes in your dataset group. Starting with version 4 of the SDK this property will default to null. If no data for this property is returned from the service the property will also be null. This was changed to improve performance and allow the SDK and caller to distinguish between a property not set or a property being empty to clear out a value. To retain the previous SDK behavior set the AWSConfigs.InitializeCollections static property to true.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | DataConfig_AttributeConfigs |
-DataConfig_DatasetGroupArn <
String>
The ARN of the dataset group used to train the predictor.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
-EncryptionConfig_KMSKeyArn <
String>
The Amazon Resource Name (ARN) of the KMS key.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
-EncryptionConfig_RoleArn <
String>
The ARN of the IAM role that Amazon Forecast can assume to access the KMS key.Passing a role across Amazon Web Services accounts is not allowed. If you pass a role that isn't in your account, you get an InvalidInputException error.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Create an Explainability resource for the predictor.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
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 specify store_id as a dimension to group sales forecasts for each store. Starting with version 4 of the SDK this property will default to null. If no data for this property is returned from the service the property will also be null. This was changed to improve performance and allow the SDK and caller to distinguish between a property not set or a property being empty to clear out a value. To retain the previous SDK behavior set the AWSConfigs.InitializeCollections static property to true.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | ForecastDimensions |
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:
- Minute - 1-59
- Hour - 1-23
- Day - 1-6
- Week - 1-4
- Month - 1-11
- 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.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
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.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
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. Starting with version 4 of the SDK this property will default to null. If no data for this property is returned from the service the property will also be null. This was changed to improve performance and allow the SDK and caller to distinguish between a property not set or a property being empty to clear out a value. To retain the previous SDK behavior set the AWSConfigs.InitializeCollections static property to true.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | ForecastTypes |
-MonitorConfig_MonitorName <
String>
The name of the monitor resource.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
The accuracy metric used to optimize the predictor.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
A unique name for the predictor
Required? | True |
Position? | 1 |
Accept pipeline input? | True (ByValue, ByPropertyName) |
-ReferencePredictorArn <
String>
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 and PredictorName. The value for PredictorName must be a unique predictor name.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Use the -Select parameter to control the cmdlet output. The default value is 'PredictorArn'. Specifying -Select '*' will result in the cmdlet returning the whole service response (Amazon.ForecastService.Model.CreateAutoPredictorResponse). Specifying the name of a property of type Amazon.ForecastService.Model.CreateAutoPredictorResponse will result in that property being returned. Specifying -Select '^ParameterName' will result in the cmdlet returning the selected cmdlet parameter value.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
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:
- For each resource, each tag key must be unique and each tag key must have one value.
- Maximum number of tags per resource: 50.
- Maximum key length: 128 Unicode characters in UTF-8.
- Maximum value length: 256 Unicode characters in UTF-8.
- 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.
- Key prefixes cannot include any upper or lowercase combination of aws: or AWS:. Values can have this prefix. If a tag value has aws 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 of aws do not count against your tags per resource limit. You cannot edit or delete tag keys with this prefix.
Starting with version 4 of the SDK this property will default to null. If no data for this property is returned from the service the property will also be null. This was changed to improve performance and allow the SDK and caller to distinguish between a property not set or a property being empty to clear out a value. To retain the previous SDK behavior set the AWSConfigs.InitializeCollections static property to true.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | Tags |
-TimeAlignmentBoundary_DayOfMonth <
Int32>
The day of the month to use for time alignment during aggregation.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
The day of week to use for time alignment during aggregation. The day must be in uppercase.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
-TimeAlignmentBoundary_Hour <
Int32>
The hour of day to use for time alignment during aggregation.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
-TimeAlignmentBoundary_Month <
Month>
The month to use for time alignment during aggregation. The month must be in uppercase.
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |