Struct aws_sdk_machinelearning::operation::describe_ml_models::builders::DescribeMlModelsInputBuilder

#[non_exhaustive]
pub struct DescribeMlModelsInputBuilder { /* private fields */ }

A builder for DescribeMlModelsInput.

Implementations

impl DescribeMlModelsInputBuilder

pub fn filter_variable(self, input: MlModelFilterVariable) -> Self

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 set_filter_variable(self, input: Option<MlModelFilterVariable>) -> Self

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 get_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, input: impl Into<String>) -> Self

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

pub fn set_eq(self, input: Option<String>) -> Self

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

pub fn get_eq(&self) -> &Option<String>

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

pub fn gt(self, input: impl Into<String>) -> Self

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

pub fn set_gt(self, input: Option<String>) -> Self

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

pub fn get_gt(&self) -> &Option<String>

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

pub fn lt(self, input: impl Into<String>) -> Self

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

pub fn set_lt(self, input: Option<String>) -> Self

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

pub fn get_lt(&self) -> &Option<String>

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

pub fn ge(self, input: impl Into<String>) -> Self

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 set_ge(self, input: Option<String>) -> Self

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 get_ge(&self) -> &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.

pub fn le(self, input: impl Into<String>) -> Self

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 set_le(self, input: Option<String>) -> Self

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 get_le(&self) -> &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.

pub fn ne(self, input: impl Into<String>) -> Self

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

pub fn set_ne(self, input: Option<String>) -> Self

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

pub fn get_ne(&self) -> &Option<String>

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

pub fn prefix(self, input: impl Into<String>) -> Self

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 set_prefix(self, input: Option<String>) -> Self

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 get_prefix(&self) -> &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

pub fn sort_order(self, input: SortOrder) -> Self

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 set_sort_order(self, input: Option<SortOrder>) -> Self

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 get_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, input: impl Into<String>) -> Self

The ID of the page in the paginated results.

pub fn set_next_token(self, input: Option<String>) -> Self

The ID of the page in the paginated results.

pub fn get_next_token(&self) -> &Option<String>

The ID of the page in the paginated results.

pub fn limit(self, input: i32) -> Self

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.

pub fn set_limit(self, input: Option<i32>) -> Self

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.

pub fn get_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.

pub fn build(self) -> Result<DescribeMlModelsInput, BuildError>

Consumes the builder and constructs a DescribeMlModelsInput.

impl DescribeMlModelsInputBuilder

pub async fn send_with( self, client: &Client ) -> Result<DescribeMlModelsOutput, SdkError<DescribeMLModelsError, HttpResponse>>

Sends a request with this input using the given client.

Trait Implementations

impl Clone for DescribeMlModelsInputBuilder

fn clone(&self) -> DescribeMlModelsInputBuilder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for DescribeMlModelsInputBuilder

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

Formats the value using the given formatter.

impl Default for DescribeMlModelsInputBuilder

fn default() -> DescribeMlModelsInputBuilder

Returns the “default value” for a type.

impl PartialEq for DescribeMlModelsInputBuilder

fn eq(&self, other: &DescribeMlModelsInputBuilder) -> 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 DescribeMlModelsInputBuilder