Bedrock / Paginator / ListCustomModels

ListCustomModels#

class Bedrock.Paginator.ListCustomModels#
paginator = client.get_paginator('list_custom_models')
paginate(**kwargs)#

Creates an iterator that will paginate through responses from Bedrock.Client.list_custom_models().

See also: AWS API Documentation

Request Syntax

response_iterator = paginator.paginate(
    creationTimeBefore=datetime(2015, 1, 1),
    creationTimeAfter=datetime(2015, 1, 1),
    nameContains='string',
    baseModelArnEquals='string',
    foundationModelArnEquals='string',
    sortBy='CreationTime',
    sortOrder='Ascending'|'Descending',
    PaginationConfig={
        'MaxItems': 123,
        'PageSize': 123,
        'StartingToken': 'string'
    }
)
Parameters:

  • creationTimeBefore (datetime) – Return custom models created before the specified time.

  • creationTimeAfter (datetime) – Return custom models created after the specified time.

  • nameContains (string) – Return custom models only if the job name contains these characters.

  • baseModelArnEquals (string) – Return custom models only if the base model ARN matches this parameter.

  • foundationModelArnEquals (string) – Return custom models only if the foundation model ARN matches this parameter.

  • sortBy (string) – The field to sort by in the returned list of models.

  • sortOrder (string) – The sort order of the results.

  • PaginationConfig (dict) –

    A dictionary that provides parameters to control pagination.

    • MaxItems (integer) –

      The total number of items to return. If the total number of items available is more than the value specified in max-items then a NextToken will be provided in the output that you can use to resume pagination.

    • PageSize (integer) –

      The size of each page.

    • StartingToken (string) –

      A token to specify where to start paginating. This is the NextToken from a previous response.

Return type:

dict

Returns:

Response Syntax

{
    'modelSummaries': [
        {
            'modelArn': 'string',
            'modelName': 'string',
            'creationTime': datetime(2015, 1, 1),
            'baseModelArn': 'string',
            'baseModelName': 'string',
            'customizationType': 'FINE_TUNING'|'CONTINUED_PRE_TRAINING'
        },
    ],
    'NextToken': 'string'
}

Response Structure

  • (dict) –

    • modelSummaries (list) –

      Model summaries.

      • (dict) –

        Summary information for a custom model.

        • modelArn (string) –

          The ARN of the custom model.

        • modelName (string) –

          The name of the custom model.

        • creationTime (datetime) –

          Creation time of the model.

        • baseModelArn (string) –

          The base model ARN.

        • baseModelName (string) –

          The base model name.

        • customizationType (string) –

          Specifies whether to carry out continued pre-training of a model or whether to fine-tune it. For more information, see Custom models.

    • NextToken (string) –

      A token to resume pagination.