list_inference_executions(**kwargs)¶Lists all inference executions that have been performed by the specified inference scheduler.
See also: AWS API Documentation
Request Syntax
response = client.list_inference_executions(
    NextToken='string',
    MaxResults=123,
    InferenceSchedulerName='string',
    DataStartTimeAfter=datetime(2015, 1, 1),
    DataEndTimeBefore=datetime(2015, 1, 1),
    Status='IN_PROGRESS'|'SUCCESS'|'FAILED'
)
[REQUIRED]
The name of the inference scheduler for the inference execution listed.
dict
Response Syntax
{
    'NextToken': 'string',
    'InferenceExecutionSummaries': [
        {
            'ModelName': 'string',
            'ModelArn': 'string',
            'InferenceSchedulerName': 'string',
            'InferenceSchedulerArn': 'string',
            'ScheduledStartTime': datetime(2015, 1, 1),
            'DataStartTime': datetime(2015, 1, 1),
            'DataEndTime': datetime(2015, 1, 1),
            'DataInputConfiguration': {
                'S3InputConfiguration': {
                    'Bucket': 'string',
                    'Prefix': 'string'
                },
                'InputTimeZoneOffset': 'string',
                'InferenceInputNameConfiguration': {
                    'TimestampFormat': 'string',
                    'ComponentTimestampDelimiter': 'string'
                }
            },
            'DataOutputConfiguration': {
                'S3OutputConfiguration': {
                    'Bucket': 'string',
                    'Prefix': 'string'
                },
                'KmsKeyId': 'string'
            },
            'CustomerResultObject': {
                'Bucket': 'string',
                'Key': 'string'
            },
            'Status': 'IN_PROGRESS'|'SUCCESS'|'FAILED',
            'FailedReason': 'string'
        },
    ]
}
Response Structure
(dict) --
NextToken (string) --
An opaque pagination token indicating where to continue the listing of inference executions.
InferenceExecutionSummaries (list) --
Provides an array of information about the individual inference executions returned from the ListInferenceExecutions operation, including model used, inference scheduler, data configuration, and so on.
(dict) --
Contains information about the specific inference execution, including input and output data configuration, inference scheduling information, status, and so on.
ModelName (string) --
The name of the ML model being used for the inference execution.
ModelArn (string) --
The Amazon Resource Name (ARN) of the ML model used for the inference execution.
InferenceSchedulerName (string) --
The name of the inference scheduler being used for the inference execution.
InferenceSchedulerArn (string) --
The Amazon Resource Name (ARN) of the inference scheduler being used for the inference execution.
ScheduledStartTime (datetime) --
Indicates the start time at which the inference scheduler began the specific inference execution.
DataStartTime (datetime) --
Indicates the time reference in the dataset at which the inference execution began.
DataEndTime (datetime) --
Indicates the time reference in the dataset at which the inference execution stopped.
DataInputConfiguration (dict) --
Specifies configuration information for the input data for the inference scheduler, including delimiter, format, and dataset location.
S3InputConfiguration (dict) --
Specifies configuration information for the input data for the inference, including Amazon S3 location of input data.
Bucket (string) --
The bucket containing the input dataset for the inference.
Prefix (string) --
The prefix for the S3 bucket used for the input data for the inference.
InputTimeZoneOffset (string) --
Indicates the difference between your time zone and Coordinated Universal Time (UTC).
InferenceInputNameConfiguration (dict) --
Specifies configuration information for the input data for the inference, including timestamp format and delimiter.
TimestampFormat (string) --
The format of the timestamp, whether Epoch time, or standard, with or without hyphens (-).
ComponentTimestampDelimiter (string) --
Indicates the delimiter character used between items in the data.
DataOutputConfiguration (dict) --
Specifies configuration information for the output results from for the inference execution, including the output Amazon S3 location.
S3OutputConfiguration (dict) --
Specifies configuration information for the output results from for the inference, output S3 location.
Bucket (string) --
The bucket containing the output results from the inference
Prefix (string) --
The prefix for the S3 bucket used for the output results from the inference.
KmsKeyId (string) --
The ID number for the AWS KMS key used to encrypt the inference output.
CustomerResultObject (dict) --
Bucket (string) --
The name of the specific S3 bucket.
Key (string) --
The AWS Key Management Service (AWS KMS) key being used to encrypt the S3 object. Without this key, data in the bucket is not accessible.
Status (string) --
Indicates the status of the inference execution.
FailedReason (string) --
Specifies the reason for failure when an inference execution has failed.
Exceptions
LookoutEquipment.Client.exceptions.ValidationExceptionLookoutEquipment.Client.exceptions.ThrottlingExceptionLookoutEquipment.Client.exceptions.ResourceNotFoundExceptionLookoutEquipment.Client.exceptions.AccessDeniedExceptionLookoutEquipment.Client.exceptions.InternalServerException