Personalize / Client / describe_batch_inference_job
describe_batch_inference_job#
- Personalize.Client.describe_batch_inference_job(**kwargs)#
Gets the properties of a batch inference job including name, Amazon Resource Name (ARN), status, input and output configurations, and the ARN of the solution version used to generate the recommendations.
See also: AWS API Documentation
Request Syntax
response = client.describe_batch_inference_job( batchInferenceJobArn='string' )
- Parameters:
batchInferenceJobArn (string) –
[REQUIRED]
The ARN of the batch inference job to describe.
- Return type:
dict
- Returns:
Response Syntax
{ 'batchInferenceJob': { 'jobName': 'string', 'batchInferenceJobArn': 'string', 'filterArn': 'string', 'failureReason': 'string', 'solutionVersionArn': 'string', 'numResults': 123, 'jobInput': { 's3DataSource': { 'path': 'string', 'kmsKeyArn': 'string' } }, 'jobOutput': { 's3DataDestination': { 'path': 'string', 'kmsKeyArn': 'string' } }, 'batchInferenceJobConfig': { 'itemExplorationConfig': { 'string': 'string' } }, 'roleArn': 'string', 'batchInferenceJobMode': 'BATCH_INFERENCE'|'THEME_GENERATION', 'themeGenerationConfig': { 'fieldsForThemeGeneration': { 'itemName': 'string' } }, 'status': 'string', 'creationDateTime': datetime(2015, 1, 1), 'lastUpdatedDateTime': datetime(2015, 1, 1) } }
Response Structure
(dict) –
batchInferenceJob (dict) –
Information on the specified batch inference job.
jobName (string) –
The name of the batch inference job.
batchInferenceJobArn (string) –
The Amazon Resource Name (ARN) of the batch inference job.
filterArn (string) –
The ARN of the filter used on the batch inference job.
failureReason (string) –
If the batch inference job failed, the reason for the failure.
solutionVersionArn (string) –
The Amazon Resource Name (ARN) of the solution version from which the batch inference job was created.
numResults (integer) –
The number of recommendations generated by the batch inference job. This number includes the error messages generated for failed input records.
jobInput (dict) –
The Amazon S3 path that leads to the input data used to generate the batch inference job.
s3DataSource (dict) –
The URI of the Amazon S3 location that contains your input data. The Amazon S3 bucket must be in the same region as the API endpoint you are calling.
path (string) –
The file path of the Amazon S3 bucket.
kmsKeyArn (string) –
The Amazon Resource Name (ARN) of the Key Management Service (KMS) key that Amazon Personalize uses to encrypt or decrypt the input and output files.
jobOutput (dict) –
The Amazon S3 bucket that contains the output data generated by the batch inference job.
s3DataDestination (dict) –
Information on the Amazon S3 bucket in which the batch inference job’s output is stored.
path (string) –
The file path of the Amazon S3 bucket.
kmsKeyArn (string) –
The Amazon Resource Name (ARN) of the Key Management Service (KMS) key that Amazon Personalize uses to encrypt or decrypt the input and output files.
batchInferenceJobConfig (dict) –
A string to string map of the configuration details of a batch inference job.
itemExplorationConfig (dict) –
A string to string map specifying the exploration configuration hyperparameters, including
explorationWeight
andexplorationItemAgeCutOff
, you want to use to configure the amount of item exploration Amazon Personalize uses when recommending items. See User-Personalization.(string) –
(string) –
roleArn (string) –
The ARN of the Amazon Identity and Access Management (IAM) role that requested the batch inference job.
batchInferenceJobMode (string) –
The job’s mode.
themeGenerationConfig (dict) –
The job’s theme generation settings.
fieldsForThemeGeneration (dict) –
Fields used to generate descriptive themes for a batch inference job.
itemName (string) –
The name of the Items dataset column that stores the name of each item in the dataset.
status (string) –
The status of the batch inference job. The status is one of the following values:
PENDING
IN PROGRESS
ACTIVE
CREATE FAILED
creationDateTime (datetime) –
The time at which the batch inference job was created.
lastUpdatedDateTime (datetime) –
The time at which the batch inference job was last updated.
Exceptions