Struct aws_sdk_rekognition::types::TestingData
source · #[non_exhaustive]pub struct TestingData {
pub assets: Option<Vec<Asset>>,
pub auto_create: bool,
}
Expand description
The dataset used for testing. Optionally, if AutoCreate
is set, Amazon Rekognition Custom Labels uses the training dataset to create a test dataset with a temporary split of the training dataset.
Fields (Non-exhaustive)§
This struct is marked as non-exhaustive
Struct { .. }
syntax; cannot be matched against without a wildcard ..
; and struct update syntax will not work.assets: Option<Vec<Asset>>
The assets used for testing.
auto_create: bool
If specified, Amazon Rekognition Custom Labels temporarily splits the training dataset (80%) to create a test dataset (20%) for the training job. After training completes, the test dataset is not stored and the training dataset reverts to its previous size.
Implementations§
source§impl TestingData
impl TestingData
sourcepub fn auto_create(&self) -> bool
pub fn auto_create(&self) -> bool
If specified, Amazon Rekognition Custom Labels temporarily splits the training dataset (80%) to create a test dataset (20%) for the training job. After training completes, the test dataset is not stored and the training dataset reverts to its previous size.
source§impl TestingData
impl TestingData
sourcepub fn builder() -> TestingDataBuilder
pub fn builder() -> TestingDataBuilder
Creates a new builder-style object to manufacture TestingData
.
Trait Implementations§
source§impl Clone for TestingData
impl Clone for TestingData
source§fn clone(&self) -> TestingData
fn clone(&self) -> TestingData
1.0.0 · source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source
. Read moresource§impl Debug for TestingData
impl Debug for TestingData
source§impl PartialEq<TestingData> for TestingData
impl PartialEq<TestingData> for TestingData
source§fn eq(&self, other: &TestingData) -> bool
fn eq(&self, other: &TestingData) -> bool
self
and other
values to be equal, and is used
by ==
.