Struct rusoto_machinelearning::DescribeBatchPredictionsInput

pub struct DescribeBatchPredictionsInput {
    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 BatchPrediction 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 BatchPrediction:

• CreatedAt - Sets the search criteria to the BatchPrediction creation date.
• Status - Sets the search criteria to the BatchPrediction status.
• Name - Sets the search criteria to the contents of the BatchPrediction Name.
• IAMUser - Sets the search criteria to the user account that invoked the BatchPrediction creation.
• MLModelId - Sets the search criteria to the MLModel used in the BatchPrediction.
• DataSourceId - Sets the search criteria to the DataSource used in the BatchPrediction.
• DataURI - Sets the search criteria to the data file(s) used in the BatchPrediction. The URL can identify either a file or an Amazon Simple Storage Solution (Amazon S3) bucket or directory.

ge: Option<String>

The greater than or equal to operator. The BatchPrediction 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 BatchPrediction 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 BatchPrediction 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 BatchPrediction 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 BatchPrediction results will have FilterVariable values not equal to the value specified with NE.

next_token: Option<String>

An 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, a Batch Prediction operation could have the Name 2014-09-09-HolidayGiftMailer. To search for this BatchPrediction, 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 MLModels.

• 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 DescribeBatchPredictionsInput

pub fn clone(&self) -> DescribeBatchPredictionsInput

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for DescribeBatchPredictionsInput

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

Formats the value using the given formatter.

impl Default for DescribeBatchPredictionsInput

pub fn default() -> DescribeBatchPredictionsInput

Returns the "default value" for a type.

impl PartialEq<DescribeBatchPredictionsInput> for DescribeBatchPredictionsInput

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

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

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

This method tests for !=.

impl Serialize for DescribeBatchPredictionsInput

pub 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 DescribeBatchPredictionsInput