[ aws . lookoutequipment ]
Lists all inference executions that have been performed by the specified inference scheduler.
See also: AWS API Documentation
See ‘aws help’ for descriptions of global parameters.
list-inference-executions
[--next-token <value>]
[--max-results <value>]
--inference-scheduler-name <value>
[--data-start-time-after <value>]
[--data-end-time-before <value>]
[--status <value>]
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
--next-token
(string)
An opaque pagination token indicating where to continue the listing of inference executions.
--max-results
(integer)
Specifies the maximum number of inference executions to list.
--inference-scheduler-name
(string)
The name of the inference scheduler for the inference execution listed.
--data-start-time-after
(timestamp)
The time reference in the inferenced dataset after which Amazon Lookout for Equipment started the inference execution.
--data-end-time-before
(timestamp)
The time reference in the inferenced dataset before which Amazon Lookout for Equipment stopped the inference execution.
--status
(string)
The status of the inference execution.
Possible values:
IN_PROGRESS
SUCCESS
FAILED
--cli-input-json
| --cli-input-yaml
(string)
Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton
. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml
.
--generate-cli-skeleton
(string)
Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input
, prints a sample input JSON that can be used as an argument for --cli-input-json
. Similarly, if provided yaml-input
it will print a sample input YAML that can be used with --cli-input-yaml
. If provided with the value output
, it validates the command inputs and returns a sample output JSON for that command. The generated JSON skeleton is not stable between versions of the AWS CLI and there are no backwards compatibility guarantees in the JSON skeleton generated.
See ‘aws help’ for descriptions of global parameters.
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.(structure)
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 -> (timestamp)
Indicates the start time at which the inference scheduler began the specific inference execution.
DataStartTime -> (timestamp)
Indicates the time reference in the dataset at which the inference execution began.
DataEndTime -> (timestamp)
Indicates the time reference in the dataset at which the inference execution stopped.
DataInputConfiguration -> (structure)
Specifies configuration information for the input data for the inference scheduler, including delimiter, format, and dataset location.
S3InputConfiguration -> (structure)
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 -> (structure)
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 -> (structure)
Specifies configuration information for the output results from for the inference execution, including the output Amazon S3 location.
S3OutputConfiguration -> (structure)
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 -> (structure)
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.