DescribeEvaluations¶

class MachineLearning.Paginator.DescribeEvaluations¶

paginator = client.get_paginator('describe_evaluations')

paginate(**kwargs)¶

Creates an iterator that will paginate through responses from MachineLearning.Client.describe_evaluations().

See also: AWS API Documentation

Request Syntax

response_iterator = paginator.paginate(
    FilterVariable='CreatedAt'|'LastUpdatedAt'|'Status'|'Name'|'IAMUser'|'MLModelId'|'DataSourceId'|'DataURI',
    EQ='string',
    GT='string',
    LT='string',
    GE='string',
    LE='string',
    NE='string',
    Prefix='string',
    SortOrder='asc'|'dsc',
    PaginationConfig={
        'MaxItems': 123,
        'PageSize': 123,
        'StartingToken': 'string'
    }
)

Parameters

FilterVariable (string) --
Use one of the following variable to filter a list of Evaluation objects:
- CreatedAt - Sets the search criteria to the Evaluation creation date.
- Status - Sets the search criteria to the Evaluation status.
- Name - Sets the search criteria to the contents of Evaluation **** Name .
- IAMUser - Sets the search criteria to the user account that invoked an Evaluation .
- MLModelId - Sets the search criteria to the MLModel that was evaluated.
- DataSourceId - Sets the search criteria to the DataSource used in Evaluation .
- DataUri - Sets the search criteria to the data file(s) used in Evaluation . The URL can identify either a file or an Amazon Simple Storage Solution (Amazon S3) bucket or directory.
EQ (string) -- The equal to operator. The Evaluation results will have FilterVariable values that exactly match the value specified with EQ .
GT (string) -- The greater than operator. The Evaluation results will have FilterVariable values that are greater than the value specified with GT .
LT (string) -- The less than operator. The Evaluation results will have FilterVariable values that are less than the value specified with LT .
GE (string) -- The greater than or equal to operator. The Evaluation results will have FilterVariable values that are greater than or equal to the value specified with GE .
LE (string) -- The less than or equal to operator. The Evaluation results will have FilterVariable values that are less than or equal to the value specified with LE .
NE (string) -- The not equal to operator. The Evaluation results will have FilterVariable values not equal to the value specified with NE .
Prefix (string) --
A string that is found at the beginning of a variable, such as Name or Id .

For example, an Evaluation could have the Name 2014-09-09-HolidayGiftMailer . To search for this Evaluation , select Name for the FilterVariable and any of the following strings for the Prefix :
- 2014-09
- 2014-09-09
- 2014-09-09-Holiday
SortOrder (string) --
A two-value parameter that determines the sequence of the resulting list of Evaluation .
- asc - Arranges the list in ascending order (A-Z, 0-9).
- dsc - Arranges the list in descending order (Z-A, 9-0).
Results are sorted by FilterVariable .
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

{
    'Results': [
        {
            'EvaluationId': 'string',
            'MLModelId': 'string',
            'EvaluationDataSourceId': 'string',
            'InputDataLocationS3': 'string',
            'CreatedByIamUser': 'string',
            'CreatedAt': datetime(2015, 1, 1),
            'LastUpdatedAt': datetime(2015, 1, 1),
            'Name': 'string',
            'Status': 'PENDING'|'INPROGRESS'|'FAILED'|'COMPLETED'|'DELETED',
            'PerformanceMetrics': {
                'Properties': {
                    'string': 'string'
                }
            },
            'Message': 'string',
            'ComputeTime': 123,
            'FinishedAt': datetime(2015, 1, 1),
            'StartedAt': datetime(2015, 1, 1)
        },
    ],

}

Response Structure

(dict) --

Represents the query results from a DescribeEvaluations operation. The content is essentially a list of Evaluation .
- Results (list) --
  
  A list of Evaluation that meet the search criteria.
  - (dict) --
    
    Represents the output of GetEvaluation operation.
    
    The content consists of the detailed metadata and data file information and the current status of the Evaluation .
    - EvaluationId (string) --
      
      The ID that is assigned to the Evaluation at creation.
    - MLModelId (string) --
      
      The ID of the MLModel that is the focus of the evaluation.
    - EvaluationDataSourceId (string) --
      
      The ID of the DataSource that is used to evaluate the MLModel .
    - InputDataLocationS3 (string) --
      
      The location and name of the data in Amazon Simple Storage Server (Amazon S3) that is used in the evaluation.
    - CreatedByIamUser (string) --
      
      The AWS user account that invoked the evaluation. The account type can be either an AWS root account or an AWS Identity and Access Management (IAM) user account.
    - CreatedAt (datetime) --
      
      The time that the Evaluation was created. The time is expressed in epoch time.
    - LastUpdatedAt (datetime) --
      
      The time of the most recent edit to the Evaluation . The time is expressed in epoch time.
    - Name (string) --
      
      A user-supplied name or description of the Evaluation .
    - Status (string) --
      
      The status of the evaluation. This element can have one of the following values:
      - PENDING - Amazon Machine Learning (Amazon ML) submitted a request to evaluate an MLModel .
      - INPROGRESS - The evaluation is underway.
      - FAILED - The request to evaluate an MLModel did not run to completion. It is not usable.
      - COMPLETED - The evaluation process completed successfully.
      - DELETED - The Evaluation is marked as deleted. It is not usable.
    - PerformanceMetrics (dict) --
      
      Measurements of how well the MLModel performed, using observations referenced by the DataSource . One of the following metrics is returned, based on the type of the MLModel :
      - BinaryAUC: A binary MLModel uses the Area Under the Curve (AUC) technique to measure performance.
      - RegressionRMSE: A regression MLModel uses the Root Mean Square Error (RMSE) technique to measure performance. RMSE measures the difference between predicted and actual values for a single variable.
      - MulticlassAvgFScore: A multiclass MLModel uses the F1 score technique to measure performance.
      For more information about performance metrics, please see the Amazon Machine Learning Developer Guide.
      - Properties (dict) --
        
        (string) --
        
        (string) --
    - Message (string) --
      
      A description of the most recent details about evaluating the MLModel .
    - ComputeTime (integer) --
      
      Long integer type that is a 64-bit signed number.
    - FinishedAt (datetime) --
      
      A timestamp represented in epoch time.
    - StartedAt (datetime) --
      
      A timestamp represented in epoch time.

Table Of Contents

DescribeEvaluations¶