Struct aws_sdk_rekognition::operation::create_dataset::CreateDatasetInput

#[non_exhaustive]
pub struct CreateDatasetInput {
    pub dataset_source: Option<DatasetSource>,
    pub dataset_type: Option<DatasetType>,
    pub project_arn: Option<String>,
    pub tags: Option<HashMap<String, String>>,
}

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.

dataset_source: Option<DatasetSource>

The source files for the dataset. You can specify the ARN of an existing dataset or specify the Amazon S3 bucket location of an Amazon Sagemaker format manifest file. If you don't specify datasetSource, an empty dataset is created. To add labeled images to the dataset, You can use the console or call UpdateDatasetEntries.

dataset_type: Option<DatasetType>

The type of the dataset. Specify TRAIN to create a training dataset. Specify TEST to create a test dataset.

project_arn: Option<String>

The ARN of the Amazon Rekognition Custom Labels project to which you want to asssign the dataset.

tags: Option<HashMap<String, String>>

A set of tags (key-value pairs) that you want to attach to the dataset.

Implementations

impl CreateDatasetInput

pub fn dataset_source(&self) -> Option<&DatasetSource>

The source files for the dataset. You can specify the ARN of an existing dataset or specify the Amazon S3 bucket location of an Amazon Sagemaker format manifest file. If you don't specify datasetSource, an empty dataset is created. To add labeled images to the dataset, You can use the console or call UpdateDatasetEntries.

pub fn dataset_type(&self) -> Option<&DatasetType>

The type of the dataset. Specify TRAIN to create a training dataset. Specify TEST to create a test dataset.

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

The ARN of the Amazon Rekognition Custom Labels project to which you want to asssign the dataset.

pub fn tags(&self) -> Option<&HashMap<String, String>>

A set of tags (key-value pairs) that you want to attach to the dataset.

impl CreateDatasetInput

pub fn builder() -> CreateDatasetInputBuilder

Creates a new builder-style object to manufacture CreateDatasetInput.

Trait Implementations

impl Clone for CreateDatasetInput

fn clone(&self) -> CreateDatasetInput

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for CreateDatasetInput

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

Formats the value using the given formatter.

impl PartialEq for CreateDatasetInput

fn eq(&self, other: &CreateDatasetInput) -> 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 StructuralPartialEq for CreateDatasetInput