pub struct BayesianImputer { /* private fields */ }Expand description
Bayesian imputer using conjugate priors
Implementations§
Source§impl BayesianImputer
impl BayesianImputer
Sourcepub fn new(config: BayesianImputerConfig) -> Self
pub fn new(config: BayesianImputerConfig) -> Self
Create a new Bayesian imputer
Trait Implementations§
Source§impl Estimator for BayesianImputer
impl Estimator for BayesianImputer
Source§type Config = BayesianImputerConfig
type Config = BayesianImputerConfig
Configuration type for the estimator
Source§type Error = SklearsError
type Error = SklearsError
Error type for the estimator
Source§fn validate_config(&self) -> Result<(), SklearsError>
fn validate_config(&self) -> Result<(), SklearsError>
Validate estimator configuration with detailed error context
Source§fn check_compatibility(
&self,
n_samples: usize,
n_features: usize,
) -> Result<(), SklearsError>
fn check_compatibility( &self, n_samples: usize, n_features: usize, ) -> Result<(), SklearsError>
Check if estimator is compatible with given data dimensions
Source§fn metadata(&self) -> EstimatorMetadata
fn metadata(&self) -> EstimatorMetadata
Get estimator metadata
Source§impl Fit<ArrayBase<OwnedRepr<f64>, Dim<[usize; 2]>>, ()> for BayesianImputer
impl Fit<ArrayBase<OwnedRepr<f64>, Dim<[usize; 2]>>, ()> for BayesianImputer
Source§type Fitted = BayesianImputerFitted
type Fitted = BayesianImputerFitted
The fitted model type
Source§fn fit(self, X: &Array2<f64>, _y: &()) -> Result<Self::Fitted>
fn fit(self, X: &Array2<f64>, _y: &()) -> Result<Self::Fitted>
Fit the model to the provided data with validation
Source§fn fit_with_validation(
self,
x: &X,
y: &Y,
_x_val: Option<&X>,
_y_val: Option<&Y>,
) -> Result<(Self::Fitted, FitMetrics), SklearsError>where
Self: Sized,
fn fit_with_validation(
self,
x: &X,
y: &Y,
_x_val: Option<&X>,
_y_val: Option<&Y>,
) -> Result<(Self::Fitted, FitMetrics), SklearsError>where
Self: Sized,
Fit with custom validation and early stopping
Auto Trait Implementations§
impl Freeze for BayesianImputer
impl RefUnwindSafe for BayesianImputer
impl Send for BayesianImputer
impl Sync for BayesianImputer
impl Unpin for BayesianImputer
impl UnwindSafe for BayesianImputer
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> 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 moreSource§impl<T> Pointable for T
impl<T> Pointable for T
Source§impl<T> StableApi for Twhere
T: Estimator,
impl<T> StableApi for Twhere
T: Estimator,
Source§const STABLE_SINCE: &'static str = "0.1.0"
const STABLE_SINCE: &'static str = "0.1.0"
API version this type was stabilized in
Source§const HAS_EXPERIMENTAL_FEATURES: bool = false
const HAS_EXPERIMENTAL_FEATURES: bool = false
Whether this API has any experimental features