MachineLearning.Paginator.
DescribeBatchPredictions
¶paginator = client.get_paginator('describe_batch_predictions')
paginate
(**kwargs)¶Creates an iterator that will paginate through responses from MachineLearning.Client.describe_batch_predictions()
.
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'
}
)
Use one of the following variables to filter a list of BatchPrediction
:
CreatedAt
- Sets the search criteria to the BatchPrediction
creation date.Status
- Sets the search criteria to the BatchPrediction
status.Name
- Sets the search criteria to the contents of the BatchPrediction
**** Name
.IAMUser
- Sets the search criteria to the user account that invoked the BatchPrediction
creation.MLModelId
- Sets the search criteria to the MLModel
used in the BatchPrediction
.DataSourceId
- Sets the search criteria to the DataSource
used in the BatchPrediction
.DataURI
- Sets the search criteria to the data file(s) used in the BatchPrediction
. The URL can identify either a file or an Amazon Simple Storage Solution (Amazon S3) bucket or directory.BatchPrediction
results will have FilterVariable
values that exactly match the value specified with EQ
.BatchPrediction
results will have FilterVariable
values that are greater than the value specified with GT
.BatchPrediction
results will have FilterVariable
values that are less than the value specified with LT
.BatchPrediction
results will have FilterVariable
values that are greater than or equal to the value specified with GE
.BatchPrediction
results will have FilterVariable
values that are less than or equal to the value specified with LE
.BatchPrediction
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, a Batch Prediction
operation could have the Name
2014-09-09-HolidayGiftMailer
. To search for this BatchPrediction
, 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 MLModel
s.
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
.
A dictionary that provides parameters to control pagination.
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.
The size of each page.
A token to specify where to start paginating. This is the NextToken
from a previous response.
dict
Response Syntax
{
'Results': [
{
'BatchPredictionId': 'string',
'MLModelId': 'string',
'BatchPredictionDataSourceId': 'string',
'InputDataLocationS3': 'string',
'CreatedByIamUser': 'string',
'CreatedAt': datetime(2015, 1, 1),
'LastUpdatedAt': datetime(2015, 1, 1),
'Name': 'string',
'Status': 'PENDING'|'INPROGRESS'|'FAILED'|'COMPLETED'|'DELETED',
'OutputUri': 'string',
'Message': 'string',
'ComputeTime': 123,
'FinishedAt': datetime(2015, 1, 1),
'StartedAt': datetime(2015, 1, 1),
'TotalRecordCount': 123,
'InvalidRecordCount': 123
},
],
}
Response Structure
(dict) --
Represents the output of a DescribeBatchPredictions
operation. The content is essentially a list of BatchPrediction
s.
Results (list) --
A list of BatchPrediction
objects that meet the search criteria.
(dict) --
Represents the output of a GetBatchPrediction
operation.
The content consists of the detailed metadata, the status, and the data file information of a Batch Prediction
.
BatchPredictionId (string) --
The ID assigned to the BatchPrediction
at creation. This value should be identical to the value of the BatchPredictionID
in the request.
MLModelId (string) --
The ID of the MLModel
that generated predictions for the BatchPrediction
request.
BatchPredictionDataSourceId (string) --
The ID of the DataSource
that points to the group of observations to predict.
InputDataLocationS3 (string) --
The location of the data file or directory in Amazon Simple Storage Service (Amazon S3).
CreatedByIamUser (string) --
The AWS user account that invoked the BatchPrediction
. 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 BatchPrediction
was created. The time is expressed in epoch time.
LastUpdatedAt (datetime) --
The time of the most recent edit to the BatchPrediction
. The time is expressed in epoch time.
Name (string) --
A user-supplied name or description of the BatchPrediction
.
Status (string) --
The status of the BatchPrediction
. This element can have one of the following values:
PENDING
- Amazon Machine Learning (Amazon ML) submitted a request to generate predictions for a batch of observations.INPROGRESS
- The process is underway.FAILED
- The request to perform a batch prediction did not run to completion. It is not usable.COMPLETED
- The batch prediction process completed successfully.DELETED
- The BatchPrediction
is marked as deleted. It is not usable.OutputUri (string) --
The location of an Amazon S3 bucket or directory to receive the operation results. The following substrings are not allowed in the s3 key
portion of the outputURI
field: ':', '//', '/./', '/../'.
Message (string) --
A description of the most recent details about processing the batch prediction request.
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.
TotalRecordCount (integer) --
Long integer type that is a 64-bit signed number.
InvalidRecordCount (integer) --
Long integer type that is a 64-bit signed number.