machinelearning_describe_ml_models: Returns a list of MLModel that match the search criteria in...
In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

View source: R/machinelearning_operations.R

machinelearning_describe_ml_models

R Documentation

Returns a list of MLModel that match the search criteria in the request

Description

Returns a list of MLModel that match the search criteria in the request.

See https://www.paws-r-sdk.com/docs/machinelearning_describe_ml_models/ for full documentation.

Usage

machinelearning_describe_ml_models(
  FilterVariable = NULL,
  EQ = NULL,
  GT = NULL,
  LT = NULL,
  GE = NULL,
  LE = NULL,
  NE = NULL,
  Prefix = NULL,
  SortOrder = NULL,
  NextToken = NULL,
  Limit = NULL
)

Arguments

`FilterVariable`	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` `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.
`EQ`	The equal to operator. The `MLModel` results will have `FilterVariable` values that exactly match the value specified with `EQ`.
`GT`	The greater than operator. The `MLModel` results will have `FilterVariable` values that are greater than the value specified with `GT`.
`LT`	The less than operator. The `MLModel` results will have `FilterVariable` values that are less than the value specified with `LT`.
`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`.
`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`.
`NE`	The not equal to operator. The `MLModel` results will have `FilterVariable` values not equal to the value specified with `NE`.
`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
`SortOrder`	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`.
`NextToken`	The ID of the page in the paginated results.
`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`.