[−][src]Struct rusoto_machinelearning::UpdateMLModelInput
Fields
ml_model_id: String
The ID assigned to the MLModel
during creation.
ml_model_name: Option<String>
A user-supplied name or description of the MLModel
.
score_threshold: Option<f32>
The ScoreThreshold
used in binary classification MLModel
that marks the boundary between a positive prediction and a negative prediction.
Output values greater than or equal to the ScoreThreshold
receive a positive result from the MLModel
, such as true
. Output values less than the ScoreThreshold
receive a negative response from the MLModel
, such as false
.
Trait Implementations
impl PartialEq<UpdateMLModelInput> for UpdateMLModelInput
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impl Default for UpdateMLModelInput
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impl Clone for UpdateMLModelInput
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impl Debug for UpdateMLModelInput
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impl Serialize for UpdateMLModelInput
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Auto Trait Implementations
impl Send for UpdateMLModelInput
impl Sync for UpdateMLModelInput
Blanket Implementations
impl<T> From for T
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impl<T, U> Into for T where
U: From<T>,
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U: From<T>,
impl<T> ToOwned for T where
T: Clone,
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T: Clone,
impl<T, U> TryFrom for T where
T: From<U>,
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T: From<U>,
type Error = !
🔬 This is a nightly-only experimental API. (
try_from
)The type returned in the event of a conversion error.
fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>
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impl<T> Borrow for T where
T: ?Sized,
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T: ?Sized,
impl<T> BorrowMut for T where
T: ?Sized,
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T: ?Sized,
fn borrow_mut(&mut self) -> &mut T
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impl<T, U> TryInto for T where
U: TryFrom<T>,
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U: TryFrom<T>,
type Error = <U as TryFrom<T>>::Error
🔬 This is a nightly-only experimental API. (
try_from
)The type returned in the event of a conversion error.
fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>
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impl<T> Any for T where
T: 'static + ?Sized,
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T: 'static + ?Sized,
fn get_type_id(&self) -> TypeId
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impl<T> Erased for T
impl<T> Same for T
type Output = T
Should always be Self