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New-FRCExplainability-ExplainabilityName <String>-Schema_Attribute <SchemaAttribute[]>-EnableVisualization <Boolean>-EndDateTime <String>-S3Config_KMSKeyArn <String>-S3Config_Path <String>-ResourceArn <String>-S3Config_RoleArn <String>-StartDateTime <String>-Tag <Tag[]>-ExplainabilityConfig_TimePointGranularity <TimePointGranularity>-ExplainabilityConfig_TimeSeriesGranularity <TimeSeriesGranularity>-Select <String>-PassThru <SwitchParameter>-Force <SwitchParameter>
ExplainPredictor
in CreateAutoPredictor, that predictor already has an Explainability resource.
The following parameters are required when providing a Predictor ARN: ExplainabilityName
- A unique name for the Explainability. ResourceArn
- The Arn of the predictor. TimePointGranularity
- Must be set to “ALL”. TimeSeriesGranularity
- Must be set to “ALL”. DataSource
- Only valid when TimeSeriesGranularity is “SPECIFIC”. Schema
- Only valid when TimeSeriesGranularity is “SPECIFIC”. StartDateTime
- Only valid when TimePointGranularity is “SPECIFIC”. EndDateTime
- Only valid when TimePointGranularity is “SPECIFIC”. ExplainabilityName
- A unique name for the Explainability. ResourceArn
- The Arn of the forecast. TimePointGranularity
- Either “ALL” or “SPECIFIC”. TimeSeriesGranularity
- Either “ALL” or “SPECIFIC”. DataSource
- The S3 location of the CSV file specifying your time series. Schema
- The Schema defines the attributes and attribute types listed in the Data Source. StartDateTime
- The first timestamp in the range of time points. EndDateTime
- The last timestamp in the range of time points. Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
TimePointGranularity
is set to SPECIFIC
, define the last time point for the Explainability.Use the following timestamp format: yyyy-MM-ddTHH:mm:ss (example: 2015-01-01T20:00:00) Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
ALL
. To create an Explainability for specific time points in your forecast horizon, use SPECIFIC
.Specify time points with the StartDateTime
and EndDateTime
parameters within the CreateExplainability operation. Required? | True |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
ALL
. To create an Explainability for specific time series in your datasets, use SPECIFIC
.Specify time series by uploading a CSV or Parquet file to an Amazon S3 bucket and set the location within the DataDestination data type. Required? | True |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Required? | True |
Position? | 1 |
Accept pipeline input? | True (ByValue, ByPropertyName) |
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Required? | True |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | DataSource_S3Config_KMSKeyArn |
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | DataSource_S3Config_Path |
KMSKeyArn
key, the role must allow access to the key.Passing a role across AWS 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) |
Aliases | DataSource_S3Config_RoleArn |
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | Schema_Attributes |
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
TimePointGranularity
is set to SPECIFIC
, define the first point for the Explainability.Use the following timestamp format: yyyy-MM-ddTHH:mm:ss (example: 2015-01-01T20:00:00) Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
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.Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | Tags |
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | AK |
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByValue, ByPropertyName) |
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByValue, ByPropertyName) |
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | AWSProfilesLocation, ProfilesLocation |
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | StoredCredentials, AWSProfileName |
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | RegionToCall |
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | SK, SecretAccessKey |
Required? | False |
Position? | Named |
Accept pipeline input? | True (ByPropertyName) |
Aliases | ST |
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