SageMaker / Paginator / ListModelMetadata
ListModelMetadata#
- class SageMaker.Paginator.ListModelMetadata#
paginator = client.get_paginator('list_model_metadata')
- paginate(**kwargs)#
Creates an iterator that will paginate through responses from
SageMaker.Client.list_model_metadata()
.See also: AWS API Documentation
Request Syntax
response_iterator = paginator.paginate( SearchExpression={ 'Filters': [ { 'Name': 'Domain'|'Framework'|'Task'|'FrameworkVersion', 'Value': 'string' }, ] }, PaginationConfig={ 'MaxItems': 123, 'PageSize': 123, 'StartingToken': 'string' } )
- Parameters:
SearchExpression (dict) –
One or more filters that searches for the specified resource or resources in a search. All resource objects that satisfy the expression’s condition are included in the search results. Specify the Framework, FrameworkVersion, Domain or Task to filter supported. Filter names and values are case-sensitive.
Filters (list) –
A list of filter objects.
(dict) –
Part of the search expression. You can specify the name and value (domain, task, framework, framework version, task, and model).
Name (string) – [REQUIRED]
The name of the of the model to filter by.
Value (string) – [REQUIRED]
The value to filter the model metadata.
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
{ 'ModelMetadataSummaries': [ { 'Domain': 'string', 'Framework': 'string', 'Task': 'string', 'Model': 'string', 'FrameworkVersion': 'string' }, ], }
Response Structure
(dict) –
ModelMetadataSummaries (list) –
A structure that holds model metadata.
(dict) –
A summary of the model metadata.
Domain (string) –
The machine learning domain of the model.
Framework (string) –
The machine learning framework of the model.
Task (string) –
The machine learning task of the model.
Model (string) –
The name of the model.
FrameworkVersion (string) –
The framework version of the model.