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AWS for Query.Farm

aws.comprehend.list_flywheel_iteration_history

Example SQL Queries

SELECT * FROM
aws.comprehend.list_flywheel_iteration_history
WHERE
"flywheel_arn" = 'VALUE';

Description

Information about the history of a flywheel iteration. For more information about flywheels, see Flywheel overview in the Amazon Comprehend Developer Guide.

Table Definition

Column NameColumn Data Type
flywheel_arn Required Input Column

The ARN of the flywheel.

VARCHAR
filter Input Column

Filter the flywheel iteration history based on creation time.

STRUCT(
    "creation_time_after" TIMESTAMP_S,
    "creation_time_before" TIMESTAMP_S
)
Show child fields
filter.creation_time_after

Filter the flywheel iterations to include iterations created after the specified time.

filter.creation_time_before

Filter the flywheel iterations to include iterations created before the specified time.

max_results Input Column

Maximum number of iteration history results to return

BIGINT
next_token Input Column

Next token

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
            )[]
        )[]
    )
)
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_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.

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_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
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_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[]
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_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[]
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_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
flywheel_iteration_properties_list

List of flywheel iteration properties

STRUCT(
    "flywheel_arn" VARCHAR,
    "flywheel_iteration_id" VARCHAR,
    "creation_time" TIMESTAMP_S,
    "end_time" TIMESTAMP_S,
    "status" VARCHAR,
    "message" VARCHAR,
    "evaluated_model_arn" VARCHAR,
    "evaluated_model_metrics" STRUCT(
        "average_f1_score" DOUBLE,
        "average_precision" DOUBLE,
        "average_recall" DOUBLE,
        "average_accuracy" DOUBLE
    ),
    "trained_model_arn" VARCHAR,
    "trained_model_metrics" STRUCT(
        "average_f1_score" DOUBLE,
        "average_precision" DOUBLE,
        "average_recall" DOUBLE,
        "average_accuracy" DOUBLE
    ),
    "evaluation_manifest_s3_prefix" VARCHAR
)[]
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flywheel_iteration_properties_list[]
Show child fields
flywheel_iteration_properties_list[].creation_time

The creation start time of the flywheel iteration.

flywheel_iteration_properties_list[].end_time

The completion time of this flywheel iteration.

flywheel_iteration_properties_list[].evaluated_model_arn

The ARN of the evaluated model associated with this flywheel iteration.

flywheel_iteration_properties_list[].evaluated_model_metrics

The evaluation metrics associated with the evaluated model.

Show child fields
flywheel_iteration_properties_list[].evaluated_model_metrics.average_accuracy

Average accuracy metric for the model.

flywheel_iteration_properties_list[].evaluated_model_metrics.average_f1_score

The average F1 score from the evaluation metrics.

flywheel_iteration_properties_list[].evaluated_model_metrics.average_precision

Average precision metric for the model.

flywheel_iteration_properties_list[].evaluated_model_metrics.average_recall

Average recall metric for the model.

flywheel_iteration_properties_list[].evaluation_manifest_s3_prefix

flywheel_iteration_properties_list[].flywheel_arn

flywheel_iteration_properties_list[].flywheel_iteration_id

flywheel_iteration_properties_list[].message

A description of the status of the flywheel iteration.

flywheel_iteration_properties_list[].status

The status of the flywheel iteration.

flywheel_iteration_properties_list[].trained_model_arn

The ARN of the trained model associated with this flywheel iteration.

flywheel_iteration_properties_list[].trained_model_metrics

The metrics associated with the trained model.

Show child fields
flywheel_iteration_properties_list[].trained_model_metrics.average_accuracy

Average accuracy metric for the model.

flywheel_iteration_properties_list[].trained_model_metrics.average_f1_score

The average F1 score from the evaluation metrics.

flywheel_iteration_properties_list[].trained_model_metrics.average_precision

Average precision metric for the model.

flywheel_iteration_properties_list[].trained_model_metrics.average_recall

Average recall metric for the model.