Struct DescribeMLModelsInput

pub struct DescribeMLModelsInput {
    pub eq: Option<String>,
    pub filter_variable: Option<String>,
    pub ge: Option<String>,
    pub gt: Option<String>,
    pub le: Option<String>,
    pub lt: Option<String>,
    pub limit: Option<i64>,
    pub ne: Option<String>,
    pub next_token: Option<String>,
    pub prefix: Option<String>,
    pub sort_order: Option<String>,
}

Fields

eq: Option<String>

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

filter_variable: Option<String>

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.

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.

gt: Option<String>

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

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.

lt: Option<String>

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

limit: Option<i64>

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.

ne: Option<String>

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

next_token: Option<String>

The ID of the page in the paginated results.

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<String>

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.

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 Default for DescribeMLModelsInput

fn default() -> DescribeMLModelsInput

Returns the “default value” for a type.

impl PartialEq for DescribeMLModelsInput

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

Tests for self and other values to be equal, and is used by ==.

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

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

impl Serialize for DescribeMLModelsInput

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for DescribeMLModelsInput