IoT.Paginator.
GetBehaviorModelTrainingSummaries
¶paginator = client.get_paginator('get_behavior_model_training_summaries')
paginate
(**kwargs)¶Creates an iterator that will paginate through responses from IoT.Client.get_behavior_model_training_summaries()
.
See also: AWS API Documentation
Request Syntax
response_iterator = paginator.paginate(
securityProfileName='string',
PaginationConfig={
'MaxItems': 123,
'PageSize': 123,
'StartingToken': 'string'
}
)
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
{
'summaries': [
{
'securityProfileName': 'string',
'behaviorName': 'string',
'trainingDataCollectionStartDate': datetime(2015, 1, 1),
'modelStatus': 'PENDING_BUILD'|'ACTIVE'|'EXPIRED',
'datapointsCollectionPercentage': 123.0,
'lastModelRefreshDate': datetime(2015, 1, 1)
},
],
'NextToken': 'string'
}
Response Structure
(dict) --
summaries (list) --
A list of all ML Detect behaviors and their model status for a given Security Profile.
(dict) --
The summary of an ML Detect behavior model.
securityProfileName (string) --
The name of the security profile.
behaviorName (string) --
The name of the behavior.
trainingDataCollectionStartDate (datetime) --
The date a training model started collecting data.
modelStatus (string) --
The status of the behavior model.
datapointsCollectionPercentage (float) --
The percentage of datapoints collected.
lastModelRefreshDate (datetime) --
The date the model was last refreshed.
NextToken (string) --
A token to resume pagination.