ForecastService / Client / describe_forecast
describe_forecast#
- ForecastService.Client.describe_forecast(**kwargs)#
Describes a forecast created using the CreateForecast operation.
In addition to listing the properties provided in the
CreateForecast
request, this operation lists the following properties:DatasetGroupArn
- The dataset group that provided the training data.CreationTime
LastModificationTime
Status
Message
- If an error occurred, information about the error.
See also: AWS API Documentation
Request Syntax
response = client.describe_forecast( ForecastArn='string' )
- Parameters:
ForecastArn (string) –
[REQUIRED]
The Amazon Resource Name (ARN) of the forecast.
- Return type:
dict
- Returns:
Response Syntax
{ 'ForecastArn': 'string', 'ForecastName': 'string', 'ForecastTypes': [ 'string', ], 'PredictorArn': 'string', 'DatasetGroupArn': 'string', 'EstimatedTimeRemainingInMinutes': 123, 'Status': 'string', 'Message': 'string', 'CreationTime': datetime(2015, 1, 1), 'LastModificationTime': datetime(2015, 1, 1), 'TimeSeriesSelector': { 'TimeSeriesIdentifiers': { 'DataSource': { 'S3Config': { 'Path': 'string', 'RoleArn': 'string', 'KMSKeyArn': 'string' } }, 'Schema': { 'Attributes': [ { 'AttributeName': 'string', 'AttributeType': 'string'|'integer'|'float'|'timestamp'|'geolocation' }, ] }, 'Format': 'string' } } }
Response Structure
(dict) –
ForecastArn (string) –
The forecast ARN as specified in the request.
ForecastName (string) –
The name of the forecast.
ForecastTypes (list) –
The quantiles at which probabilistic forecasts were generated.
(string) –
PredictorArn (string) –
The ARN of the predictor used to generate the forecast.
DatasetGroupArn (string) –
The ARN of the dataset group that provided the data used to train the predictor.
EstimatedTimeRemainingInMinutes (integer) –
The estimated time remaining in minutes for the forecast job to complete.
Status (string) –
The status of the forecast. States include:
ACTIVE
CREATE_PENDING
,CREATE_IN_PROGRESS
,CREATE_FAILED
CREATE_STOPPING
,CREATE_STOPPED
DELETE_PENDING
,DELETE_IN_PROGRESS
,DELETE_FAILED
Note
The
Status
of the forecast must beACTIVE
before you can query or export the forecast.Message (string) –
If an error occurred, an informational message about the error.
CreationTime (datetime) –
When the forecast creation task was created.
LastModificationTime (datetime) –
The last time the resource was modified. The timestamp depends on the status of the job:
CREATE_PENDING
- TheCreationTime
.CREATE_IN_PROGRESS
- The current timestamp.CREATE_STOPPING
- The current timestamp.CREATE_STOPPED
- When the job stopped.ACTIVE
orCREATE_FAILED
- When the job finished or failed.
TimeSeriesSelector (dict) –
The time series to include in the forecast.
TimeSeriesIdentifiers (dict) –
Details about the import file that contains the time series for which you want to create forecasts.
DataSource (dict) –
The source of your data, an Identity and Access Management (IAM) role that allows Amazon Forecast to access the data and, optionally, an Key Management Service (KMS) key.
S3Config (dict) –
The path to the data stored in an Amazon Simple Storage Service (Amazon S3) bucket along with the credentials to access the data.
Path (string) –
The path to an Amazon Simple Storage Service (Amazon S3) bucket or file(s) in an Amazon S3 bucket.
RoleArn (string) –
The ARN of the Identity and Access Management (IAM) role that Amazon Forecast can assume to access the Amazon S3 bucket or files. If you provide a value for the
KMSKeyArn
key, the role must allow access to the 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.KMSKeyArn (string) –
The Amazon Resource Name (ARN) of an Key Management Service (KMS) key.
Schema (dict) –
Defines the fields of a dataset.
Attributes (list) –
An array of attributes specifying the name and type of each field in a dataset.
(dict) –
An attribute of a schema, which defines a dataset field. A schema attribute is required for every field in a dataset. The Schema object contains an array of
SchemaAttribute
objects.AttributeName (string) –
The name of the dataset field.
AttributeType (string) –
The data type of the field.
For a related time series dataset, other than date, item_id, and forecast dimensions attributes, all attributes should be of numerical type (integer/float).
Format (string) –
The format of the data, either CSV or PARQUET.
Exceptions