Struct aws_sdk_machinelearning::operation::describe_ml_models::DescribeMlModelsInput

#[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)

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

impl DescribeMlModelsInput

pub fn filter_variable(&self) -> 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.

pub fn eq(&self) -> Option<&str>

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

pub fn gt(&self) -> Option<&str>

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

pub fn lt(&self) -> Option<&str>

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

pub fn ge(&self) -> Option<&str>

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.

pub fn le(&self) -> Option<&str>

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.

pub fn ne(&self) -> Option<&str>

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

pub fn prefix(&self) -> Option<&str>

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

pub fn sort_order(&self) -> 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.

pub fn next_token(&self) -> Option<&str>

The ID of the page in the paginated results.

pub fn limit(&self) -> 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.

impl DescribeMlModelsInput

pub fn builder() -> DescribeMlModelsInputBuilder

Creates a new builder-style object to manufacture DescribeMlModelsInput.

Trait Implementations

impl Clone for DescribeMlModelsInput

fn clone(&self) -> DescribeMlModelsInput

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for DescribeMlModelsInput

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq<DescribeMlModelsInput> for DescribeMlModelsInput

fn eq(&self, other: &DescribeMlModelsInput) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for DescribeMlModelsInput