MachineLearning.Client.describe_evaluations(**kwargs)¶Returns a list of DescribeEvaluations that match the search criteria in the request.
See also: AWS API Documentation
Request Syntax
response = client.describe_evaluations(
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',
NextToken='string',
Limit=123
)
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.Evaluation results will have FilterVariable values that exactly match the value specified with EQ .Evaluation results will have FilterVariable values that are greater than the value specified with GT .Evaluation results will have FilterVariable values that are less than the value specified with LT .Evaluation results will have FilterVariable values that are greater than or equal to the value specified with GE .Evaluation results will have FilterVariable values that are less than or equal to the value specified with LE .Evaluation results will have FilterVariable values not equal to the value specified with NE .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 :
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 .
Evaluation to include in the result.dict
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)
},
],
'NextToken': 'string'
}
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 :
MLModel uses the Area Under the Curve (AUC) technique to measure performance.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.MLModel uses the F1 score technique to measure performance.For more information about performance metrics, please see the Amazon Machine Learning Developer Guide.
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.
NextToken (string) --
The ID of the next page in the paginated results that indicates at least one more page follows.
Exceptions
MachineLearning.Client.exceptions.InvalidInputExceptionMachineLearning.Client.exceptions.InternalServerException