pub enum MLModelType {
LinearRegression,
NeuralNetwork,
RandomForest,
SupportVectorMachine,
GradientBoosting,
LSTM,
Custom(String),
}Expand description
ML model types
Variants§
LinearRegression
LinearRegression
NeuralNetwork
NeuralNetwork
RandomForest
RandomForest
SupportVectorMachine
SupportVectorMachine
GradientBoosting
GradientBoosting
LSTM
LSTM
Custom(String)
Custom
Trait Implementations§
Source§impl Clone for MLModelType
impl Clone for MLModelType
Source§fn clone(&self) -> MLModelType
fn clone(&self) -> MLModelType
Returns a duplicate of the value. Read more
1.0.0 · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from
source. Read moreSource§impl Debug for MLModelType
impl Debug for MLModelType
Source§impl PartialEq for MLModelType
impl PartialEq for MLModelType
impl StructuralPartialEq for MLModelType
Auto Trait Implementations§
impl Freeze for MLModelType
impl RefUnwindSafe for MLModelType
impl Send for MLModelType
impl Sync for MLModelType
impl Unpin for MLModelType
impl UnwindSafe for MLModelType
Blanket Implementations§
Source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
Source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
Source§impl<T> CloneToUninit for Twhere
T: Clone,
impl<T> CloneToUninit for Twhere
T: Clone,
Source§impl<T> IntoEither for T
impl<T> IntoEither for T
Source§fn into_either(self, into_left: bool) -> Either<Self, Self>
fn into_either(self, into_left: bool) -> Either<Self, Self>
Converts
self into a Left variant of Either<Self, Self>
if into_left is true.
Converts self into a Right variant of Either<Self, Self>
otherwise. Read moreSource§fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
Converts
self into a Left variant of Either<Self, Self>
if into_left(&self) returns true.
Converts self into a Right variant of Either<Self, Self>
otherwise. Read more