class Aws::MachineLearning::Types::DescribeMLModelsInput
@note When making an API call, you may pass DescribeMLModelsInput
data as a hash: { filter_variable: "CreatedAt", # accepts CreatedAt, LastUpdatedAt, Status, Name, IAMUser, TrainingDataSourceId, RealtimeEndpointStatus, MLModelType, Algorithm, TrainingDataURI eq: "ComparatorValue", gt: "ComparatorValue", lt: "ComparatorValue", ge: "ComparatorValue", le: "ComparatorValue", ne: "ComparatorValue", prefix: "ComparatorValue", sort_order: "asc", # accepts asc, dsc next_token: "StringType", limit: 1, }
@!attribute [rw] filter_variable
Use one of the following variables to filter a list of `MLModel`\: * `CreatedAt` - Sets the search criteria to `MLModel` creation date. * `Status` - Sets the search criteria to `MLModel` status. * `Name` - Sets the search criteria to the contents of `MLModel` <b> </b> `Name`. * `IAMUser` - Sets the search criteria to the user account that invoked the `MLModel` creation. * `TrainingDataSourceId` - Sets the search criteria to the `DataSource` used to train one or more `MLModel`. * `RealtimeEndpointStatus` - Sets the search criteria to the `MLModel` real-time endpoint status. * `MLModelType` - Sets the search criteria to `MLModel` type: binary, regression, or multi-class. * `Algorithm` - Sets the search criteria to the algorithm that the `MLModel` uses. * `TrainingDataURI` - Sets the search criteria to the data file(s) used in training a `MLModel`. The URL can identify either a file or an Amazon Simple Storage Service (Amazon S3) bucket or directory. @return [String]
@!attribute [rw] eq
The equal to operator. The `MLModel` results will have `FilterVariable` values that exactly match the value specified with `EQ`. @return [String]
@!attribute [rw] gt
The greater than operator. The `MLModel` results will have `FilterVariable` values that are greater than the value specified with `GT`. @return [String]
@!attribute [rw] lt
The less than operator. The `MLModel` results will have `FilterVariable` values that are less than the value specified with `LT`. @return [String]
@!attribute [rw] ge
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`. @return [String]
@!attribute [rw] le
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`. @return [String]
@!attribute [rw] ne
The not equal to operator. The `MLModel` results will have `FilterVariable` values not equal to the value specified with `NE`. @return [String]
@!attribute [rw] prefix
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 @return [String]
@!attribute [rw] sort_order
A two-value parameter that determines the sequence of the resulting list of `MLModel`. * `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`. @return [String]
@!attribute [rw] next_token
The ID of the page in the paginated results. @return [String]
@!attribute [rw] limit
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`. @return [Integer]
Constants
- SENSITIVE