create-inference-scheduler¶

Description¶

Creates a scheduled inference. Scheduling an inference is setting up a continuous real-time inference plan to analyze new measurement data. When setting up the schedule, you provide an S3 bucket location for the input data, assign it a delimiter between separate entries in the data, set an offset delay if desired, and set the frequency of inferencing. You must also provide an S3 bucket location for the output data.

Synopsis¶

  create-inference-scheduler
--model-name <value>
--inference-scheduler-name <value>
[--data-delay-offset-in-minutes <value>]
--data-upload-frequency <value>
--data-input-configuration <value>
--data-output-configuration <value>
--role-arn <value>
[--server-side-kms-key-id <value>]
[--client-token <value>]
[--tags <value>]
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]

Options¶

--model-name (string)

The name of the previously trained ML model being used to create the inference scheduler.

--inference-scheduler-name (string)

The name of the inference scheduler being created.

--data-delay-offset-in-minutes (long)

A period of time (in minutes) by which inference on the data is delayed after the data starts. For instance, if you select an offset delay time of five minutes, inference will not begin on the data until the first data measurement after the five minute mark. For example, if five minutes is selected, the inference scheduler will wake up at the configured frequency with the additional five minute delay time to check the customer S3 bucket. The customer can upload data at the same frequency and they don’t need to stop and restart the scheduler when uploading new data.

--data-upload-frequency (string)

How often data is uploaded to the source S3 bucket for the input data. The value chosen is the length of time between data uploads. For instance, if you select 5 minutes, Amazon Lookout for Equipment will upload the real-time data to the source bucket once every 5 minutes. This frequency also determines how often Amazon Lookout for Equipment starts a scheduled inference on your data. In this example, it starts once every 5 minutes.

Possible values:

PT5M

PT10M

PT15M

PT30M

PT1H

--data-input-configuration (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.

Shorthand Syntax:

S3InputConfiguration={Bucket=string,Prefix=string},InputTimeZoneOffset=string,InferenceInputNameConfiguration={TimestampFormat=string,ComponentTimestampDelimiter=string}

JSON Syntax:

{
  "S3InputConfiguration": {
    "Bucket": "string",
    "Prefix": "string"
  },
  "InputTimeZoneOffset": "string",
  "InferenceInputNameConfiguration": {
    "TimestampFormat": "string",
    "ComponentTimestampDelimiter": "string"
  }
}

--data-output-configuration (structure)

Specifies configuration information for the output results for the inference scheduler, including the S3 location for the output.

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.

Shorthand Syntax:

S3OutputConfiguration={Bucket=string,Prefix=string},KmsKeyId=string

JSON Syntax:

{
  "S3OutputConfiguration": {
    "Bucket": "string",
    "Prefix": "string"
  },
  "KmsKeyId": "string"
}

--role-arn (string)

The Amazon Resource Name (ARN) of a role with permission to access the data source being used for the inference.

--server-side-kms-key-id (string)

Provides the identifier of the KMS key used to encrypt inference scheduler data by Amazon Lookout for Equipment.

--client-token (string)

A unique identifier for the request. If you do not set the client request token, Amazon Lookout for Equipment generates one.

--tags (list)

Any tags associated with the inference scheduler.

(structure)

A tag is a key-value pair that can be added to a resource as metadata.

Key -> (string)

The key for the specified tag.

Value -> (string)

The value for the specified tag.

Shorthand Syntax:

Key=string,Value=string ...

JSON Syntax:

[
  {
    "Key": "string",
    "Value": "string"
  }
  ...
]

--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.

Output¶

InferenceSchedulerArn -> (string)

The Amazon Resource Name (ARN) of the inference scheduler being created.

InferenceSchedulerName -> (string)

The name of inference scheduler being created.

Status -> (string)

Indicates the status of the CreateInferenceScheduler operation.

Table of Contents

Feedback

User Guide

create-inference-scheduler¶

Description¶

Synopsis¶

Options¶

Output¶