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AWS for Query.Farm

aws.lookoutvision.describe_model

Example SQL Queries

SELECT * FROM
aws.lookoutvision.describe_model
WHERE
"project_name" = 'VALUE'
AND "model_version" = 'VALUE';

Description

Describes a version of an Amazon Lookout for Vision model.

This operation requires permissions to perform the lookoutvision:DescribeModel operation.

Table Definition

Column NameColumn Data Type
model_version Required Input Column

The version of the model that you want to describe.

VARCHAR
project_name Required Input Column

The project that contains the version of a model that you want to describe.

VARCHAR
_aws_profile Input Column

The AWS profile defines the AWS identity used. It can be defined via credentials or by assuming a IAM role.

STRUCT(
    "type" VARCHAR,
    "name" VARCHAR,
    "account_id" VARCHAR,
    "via_profile_name" VARCHAR,
    "assumed_role_arn" VARCHAR,
    "organization" STRUCT(
        "account_name" VARCHAR,
        "id" VARCHAR,
        "tags" STRUCT(
            "key" VARCHAR,
            "value" VARCHAR
        )[],
        "master_account" STRUCT(
            "id" VARCHAR,
            "email" VARCHAR
        ),
        "parents" STRUCT(
            "type" VARCHAR,
            "id" VARCHAR,
            "name" VARCHAR,
            "tags" STRUCT(
                "key" VARCHAR,
                "value" VARCHAR
            )[]
        )[]
    )
)
Show child fields
_aws_profile.account_id

The AWS account id

_aws_profile.assumed_role_arn

The ARN of the assumed role

_aws_profile.name

The unique name of the profile.

_aws_profile.organization

Information about this profile's membership in the AWS organization.

Show child fields
_aws_profile.organization.account_name

The name of account speciifed by the organization

_aws_profile.organization.id

The organization id

_aws_profile.organization.master_account
Show child fields
_aws_profile.organization.master_account.email

The organization master account email address

_aws_profile.organization.master_account.id

The organization master account id

_aws_profile.organization.parents[]
Show child fields
_aws_profile.organization.parents[].id

The id of the parent

_aws_profile.organization.parents[].name

The name of the parent

_aws_profile.organization.parents[].tags[]
Show child fields
_aws_profile.organization.parents[].tags[].key
_aws_profile.organization.parents[].tags[].value
_aws_profile.organization.parents[].type

The type of parent can be an organization unit or a root

_aws_profile.organization.tags[]
Show child fields
_aws_profile.organization.tags[].key
_aws_profile.organization.tags[].value
_aws_profile.type

The type of profile, either 'credentials' or 'assumed_role'

_aws_profile.via_profile_name

This IAM role for this profile is assumed by first utilizing another profile with this name to obtain credentials.

_aws_region Input Column

The AWS region to use.

VARCHAR
model_description

Contains the description of the model.

STRUCT(
    "model_version" VARCHAR,
    "model_arn" VARCHAR,
    "creation_timestamp" TIMESTAMP_S,
    "description" VARCHAR,
    "status" VARCHAR,
    "status_message" VARCHAR,
    "performance" STRUCT(
        "f1_score" DOUBLE,
        "recall" DOUBLE,
        "precision" DOUBLE
    ),
    "output_config" STRUCT(
        "s3_location" STRUCT(
            "bucket" VARCHAR,
            "prefix" VARCHAR
        )
    ),
    "evaluation_manifest" STRUCT(
        "bucket" VARCHAR,
        "key" VARCHAR
    ),
    "evaluation_result" STRUCT(
        "bucket" VARCHAR,
        "key" VARCHAR
    ),
    "evaluation_end_timestamp" TIMESTAMP_S,
    "kms_key_id" VARCHAR,
    "min_inference_units" BIGINT,
    "max_inference_units" BIGINT
)
Show child fields
model_description.creation_timestamp

The unix timestamp for the date and time that the model was created.

model_description.description

The description for the model.

model_description.evaluation_end_timestamp

The unix timestamp for the date and time that the evaluation ended.

model_description.evaluation_manifest

The S3 location where Amazon Lookout for Vision saves the manifest file that was used to test the trained model and generate the performance scores.

Show child fields
model_description.evaluation_manifest.bucket

The bucket that contains the training output.

model_description.evaluation_manifest.key

The location of the training output in the bucket.

model_description.evaluation_result

The S3 location where Amazon Lookout for Vision saves the performance metrics.

Show child fields
model_description.evaluation_result.bucket

The bucket that contains the training output.

model_description.evaluation_result.key

The location of the training output in the bucket.

model_description.kms_key_id

The identifer for the AWS Key Management Service (AWS KMS) key that was used to encrypt the model during training.

model_description.max_inference_units

The maximum number of inference units Amazon Lookout for Vision uses to auto-scale the model. For more information, see StartModel.

model_description.min_inference_units

The minimum number of inference units used by the model. For more information, see StartModel

model_description.model_arn

The Amazon Resource Name (ARN) of the model.

model_description.model_version

The version of the model

model_description.output_config

The S3 location where Amazon Lookout for Vision saves model training files.

Show child fields
model_description.output_config.s3_location

The S3 location for the output.

Show child fields
model_description.output_config.s3_location.bucket

The S3 bucket that contains the training or model packaging job output. If you are training a model, the bucket must in your AWS account. If you use an S3 bucket for a model packaging job, the S3 bucket must be in the same AWS Region and AWS account in which you use AWS IoT Greengrass.

model_description.output_config.s3_location.prefix

The path of the folder, within the S3 bucket, that contains the output.

model_description.performance

Performance metrics for the model. Created during training.

Show child fields
model_description.performance.f1_score

The overall F1 score metric for the trained model.

model_description.performance.precision

The overall precision metric value for the trained model.

model_description.performance.recall

The overall recall metric value for the trained model.

model_description.status

The status of the model.

model_description.status_message

The status message for the model.