#[non_exhaustive]
pub struct DescribeMlModelsInput { pub filter_variable: Option<MlModelFilterVariable>, pub eq: Option<String>, pub gt: Option<String>, pub lt: Option<String>, pub ge: Option<String>, pub le: Option<String>, pub ne: Option<String>, pub prefix: Option<String>, pub sort_order: Option<SortOrder>, pub next_token: Option<String>, pub limit: Option<i32>, }

Fields (Non-exhaustive)

This struct is marked as non-exhaustive
Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.
filter_variable: Option<MlModelFilterVariable>

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: Option<String>

The equal to operator. The MLModel results will have FilterVariable values that exactly match the value specified with EQ.

gt: Option<String>

The greater than operator. The MLModel results will have FilterVariable values that are greater than the value specified with GT.

lt: Option<String>

The less than operator. The MLModel results will have FilterVariable values that are less than the value specified with LT.

ge: Option<String>

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: Option<String>

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: Option<String>

The not equal to operator. The MLModel results will have FilterVariable values not equal to the value specified with NE.

prefix: Option<String>

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

sort_order: Option<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.

next_token: Option<String>

The ID of the page in the paginated results.

limit: Option<i32>

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.

Implementations

Consumes the builder and constructs an Operation<DescribeMLModels>

Creates a new builder-style object to manufacture DescribeMlModelsInput

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.

The equal to operator. The MLModel results will have FilterVariable values that exactly match the value specified with EQ.

The greater than operator. The MLModel results will have FilterVariable values that are greater than the value specified with GT.

The less than operator. The MLModel results will have FilterVariable values that are less than the value specified with LT.

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 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 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

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.

The ID of the page in the paginated results.

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.

Trait Implementations

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