DescribeMLModelsInput
import type { DescribeMLModelsInput } from "https://aws-api.deno.dev/v0.3/services/machinelearning.ts?docs=full";
§Properties
The equal to operator.
The MLModel
results will have FilterVariable
values that exactly match the value specified with EQ
.
Use one of the following variables to filter a list of MLModel
:
CreatedAt
- Sets the search criteria toMLModel
creation date.Status
- Sets the search criteria toMLModel
status.Name
- Sets the search criteria to the contents ofMLModel
**Name
.IAMUser
- Sets the search criteria to the user account that invoked theMLModel
creation.TrainingDataSourceId
- Sets the search criteria to theDataSource
used to train one or moreMLModel
.RealtimeEndpointStatus
- Sets the search criteria to theMLModel
real-time endpoint status.MLModelType
- Sets the search criteria toMLModel
type: binary, regression, or multi-class.Algorithm
- Sets the search criteria to the algorithm that theMLModel
uses.TrainingDataURI
- Sets the search criteria to the data file(s) used in training aMLModel
. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket or directory.
The greater than or equal to operator.
The MLModel
results will have FilterVariable
values that are greater than or equal to the value specified with GE
.
The greater than operator.
The MLModel
results will have FilterVariable
values that are greater than the value specified with GT
.
The less than or equal to operator.
The MLModel
results will have FilterVariable
values that are less than or equal to the value specified with LE
.
The number of pages of information to include in the result.
The range of acceptable values is 1
through 100
.
The default value is 100
.
The less than operator.
The MLModel
results will have FilterVariable
values that are less than the value specified with LT
.
The not equal to operator.
The MLModel
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 MLModel
could have the Name
2014-09-09-HolidayGiftMailer
.
To search for this MLModel
, select Name
for the FilterVariable
and any of the following strings for the Prefix
:
- 2014-09
- 2014-09-09
- 2014-09-09-Holiday