Struct linfa_logistic::FittedLogisticRegression

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pub struct FittedLogisticRegression<F: Float, C: PartialOrd + Clone> { /* private fields */ }

Expand description

A fitted logistic regression which can make predictions

Implementations

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impl<F: Float, C: PartialOrd + Clone> FittedLogisticRegression<F, C>

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pub fn set_threshold(self, threshold: F) -> FittedLogisticRegression<F, C>

Set the probability threshold for which the ‘positive’ class will be predicted. Defaults to 0.5.

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pub fn intercept(&self) -> F

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pub fn params(&self) -> &Array1<F>

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pub fn predict_probabilities<A: Data<Elem = F>>(
&self,
x: &ArrayBase<A, Ix2>
) -> Array1<F>

Given a feature matrix, predict the probabilities that a sample should be classified as the larger of the two classes learned when the model was fitted.

Trait Implementations

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impl<F: Clone + Float, C: Clone + PartialOrd + Clone> Clone for FittedLogisticRegression<F, C>

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fn clone(&self) -> FittedLogisticRegression<F, C>

Returns a copy of the value. Read more

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

Performs copy-assignment from source. Read more

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impl<F: Debug + Float, C: Debug + PartialOrd + Clone> Debug for FittedLogisticRegression<F, C>

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

Formats the value using the given formatter. Read more

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impl<F: PartialEq + Float, C: PartialEq + PartialOrd + Clone> PartialEq<FittedLogisticRegression<F, C>> for FittedLogisticRegression<F, C>

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fn eq(&self, other: &FittedLogisticRegression<F, C>) -> bool

This method tests for self and other values to be equal, and is used by ==. Read more

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fn ne(&self, other: &FittedLogisticRegression<F, C>) -> bool

This method tests for !=.

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impl<C: PartialOrd + Clone + Default, F: Float, D: Data<Elem = F>> PredictInplace<ArrayBase<D, Dim<[usize ; 2]>>, ArrayBase<OwnedRepr<C>, Dim<[usize ; 1]>>> for FittedLogisticRegression<F, C>

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fn predict_inplace(&self, x: &ArrayBase<D, Ix2>, y: &mut Array1<C>)

Given a feature matrix, predict the classes learned when the model was fitted.

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fn default_target(&self, x: &ArrayBase<D, Ix2>) -> Array1<C>

Create targets that predict_inplace works with.

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impl<F: Float, C: PartialOrd + Clone> StructuralPartialEq for FittedLogisticRegression<F, C>

Auto Trait Implementations

impl<F, C> RefUnwindSafe for FittedLogisticRegression<F, C> where
C: RefUnwindSafe,
F: RefUnwindSafe,

impl<F, C> Send for FittedLogisticRegression<F, C> where
C: Send,

impl<F, C> Sync for FittedLogisticRegression<F, C> where
C: Sync,

impl<F, C> Unpin for FittedLogisticRegression<F, C> where
C: Unpin,

impl<F, C> UnwindSafe for FittedLogisticRegression<F, C> where
C: UnwindSafe,
F: UnwindSafe + RefUnwindSafe,

Blanket Implementations

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impl<T> Any for T where
T: 'static + ?Sized,

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fn type_id(&self) -> TypeId

Gets the TypeId of self. Read more

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impl<T> Borrow<T> for T where
T: ?Sized,

const: unstable · source

fn borrow(&self) -> &T

Immutably borrows from an owned value. Read more

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impl<T> BorrowMut<T> for T where
T: ?Sized,

const: unstable · source

fn borrow_mut(&mut self) -> &mut T

Mutably borrows from an owned value. Read more

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impl<T> From<T> for T

const: unstable · source

fn from(t: T) -> T

Returns the argument unchanged.

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impl<T, U> Into for T where
U: From<T>,

const: unstable · source

fn into(self) -> U

Calls U::from(self).

That is, this conversion is whatever the implementation of From<T> for U chooses to do.

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impl<'a, F, D, DM, T, O> Predict<&'a ArrayBase<D, DM>, T> for O where
 D: Data<Elem = F>,
 DM: Dimension,
 O: PredictInplace<ArrayBase<D, DM>, T>,

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fn predict(&self, records: &'a ArrayBase<D, DM>) -> T

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impl<'a, F, R, T, S, O> Predict<&'a DatasetBase<R, T>, S> for O where
R: Records<Elem = F>,
O: PredictInplace<R, S>,

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fn predict(&self, ds: &'a DatasetBase<R, T>) -> S

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impl<F, D, E, T, O> Predict<ArrayBase<D, Dim<[usize ; 2]>>, DatasetBase<ArrayBase<D, Dim<[usize ; 2]>>, T>> for O where
 D: Data<Elem = F>,
 T: AsTargets<Elem = E>,
 O: PredictInplace<ArrayBase<D, Dim<[usize ; 2]>>, T>,

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fn predict(
&self,
records: ArrayBase<D, Dim<[usize ; 2]>>
) -> DatasetBase<ArrayBase<D, Dim<[usize ; 2]>>, T>

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impl<F, R, T, E, S, O> Predict<DatasetBase<R, T>, DatasetBase<R, S>> for O where
 R: Records<Elem = F>,
 S: AsTargets<Elem = E>,
 O: PredictInplace<R, S>,

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fn predict(&self, ds: DatasetBase<R, T>) -> DatasetBase<R, S>

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impl<T> ToOwned for T where
T: Clone,

type Owned = T

The resulting type after obtaining ownership.

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fn to_owned(&self) -> T

Creates owned data from borrowed data, usually by cloning. Read more

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fn clone_into(&self, target: &mut T)

Uses borrowed data to replace owned data, usually by cloning. Read more

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impl<T, U> TryFrom for T where
U: Into<T>,

type Error = Infallible

The type returned in the event of a conversion error.

const: unstable · source

fn try_from(value: U) -> Result<T, <T as TryFrom>::Error>

Performs the conversion.

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impl<T, U> TryInto for T where
U: TryFrom<T>,

type Error = >::Error

The type returned in the event of a conversion error.

const: unstable · source

fn try_into(self) -> Result<U, >::Error>

Performs the conversion.

Struct linfa_logistic::FittedLogisticRegression

Implementations

impl<F: Float, C: PartialOrd + Clone> FittedLogisticRegression<F, C>

pub fn set_threshold(self, threshold: F) -> FittedLogisticRegression<F, C>

pub fn intercept(&self) -> F

pub fn params(&self) -> &Array1<F>

pub fn predict_probabilities<A: Data<Elem = F>>( &self, x: &ArrayBase<A, Ix2>) -> Array1<F>

Trait Implementations

impl<F: Clone + Float, C: Clone + PartialOrd + Clone> Clone for FittedLogisticRegression<F, C>

fn clone(&self) -> FittedLogisticRegression<F, C>

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

impl<F: Debug + Float, C: Debug + PartialOrd + Clone> Debug for FittedLogisticRegression<F, C>

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

impl<F: PartialEq + Float, C: PartialEq + PartialOrd + Clone> PartialEq<FittedLogisticRegression<F, C>> for FittedLogisticRegression<F, C>

fn eq(&self, other: &FittedLogisticRegression<F, C>) -> bool

fn ne(&self, other: &FittedLogisticRegression<F, C>) -> bool

impl<C: PartialOrd + Clone + Default, F: Float, D: Data<Elem = F>> PredictInplace<ArrayBase<D, Dim<[usize; 2]>>, ArrayBase<OwnedRepr<C>, Dim<[usize; 1]>>> for FittedLogisticRegression<F, C>

fn predict_inplace(&self, x: &ArrayBase<D, Ix2>, y: &mut Array1<C>)

fn default_target(&self, x: &ArrayBase<D, Ix2>) -> Array1<C>

impl<F: Float, C: PartialOrd + Clone> StructuralPartialEq for FittedLogisticRegression<F, C>

Auto Trait Implementations

impl<F, C> RefUnwindSafe for FittedLogisticRegression<F, C> where C: RefUnwindSafe, F: RefUnwindSafe,

impl<F, C> Send for FittedLogisticRegression<F, C> where C: Send,

impl<F, C> Sync for FittedLogisticRegression<F, C> where C: Sync,

impl<F, C> Unpin for FittedLogisticRegression<F, C> where C: Unpin,

impl<F, C> UnwindSafe for FittedLogisticRegression<F, C> where C: UnwindSafe, F: UnwindSafe + RefUnwindSafe,

Blanket Implementations

impl<T> Any for T where T: 'static + ?Sized,

fn type_id(&self) -> TypeId

impl<T> Borrow<T> for T where T: ?Sized,

fn borrow(&self) -> &T

impl<T> BorrowMut<T> for T where T: ?Sized,

fn borrow_mut(&mut self) -> &mut T

impl<T> From<T> for T

fn from(t: T) -> T

impl<T, U> Into<U> for T where U: From<T>,

fn into(self) -> U

impl<'a, F, D, DM, T, O> Predict<&'a ArrayBase<D, DM>, T> for O where D: Data<Elem = F>, DM: Dimension, O: PredictInplace<ArrayBase<D, DM>, T>,

fn predict(&self, records: &'a ArrayBase<D, DM>) -> T

impl<'a, F, R, T, S, O> Predict<&'a DatasetBase<R, T>, S> for O where R: Records<Elem = F>, O: PredictInplace<R, S>,

fn predict(&self, ds: &'a DatasetBase<R, T>) -> S

impl<F, D, E, T, O> Predict<ArrayBase<D, Dim<[usize; 2]>>, DatasetBase<ArrayBase<D, Dim<[usize; 2]>>, T>> for O where D: Data<Elem = F>, T: AsTargets<Elem = E>, O: PredictInplace<ArrayBase<D, Dim<[usize; 2]>>, T>,

fn predict( &self, records: ArrayBase<D, Dim<[usize; 2]>>) -> DatasetBase<ArrayBase<D, Dim<[usize; 2]>>, T>

impl<F, R, T, E, S, O> Predict<DatasetBase<R, T>, DatasetBase<R, S>> for O where R: Records<Elem = F>, S: AsTargets<Elem = E>, O: PredictInplace<R, S>,

fn predict(&self, ds: DatasetBase<R, T>) -> DatasetBase<R, S>

impl<T> ToOwned for T where T: Clone,

type Owned = T

fn to_owned(&self) -> T

fn clone_into(&self, target: &mut T)

impl<T, U> TryFrom<U> for T where U: Into<T>,

type Error = Infallible

fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>

impl<T, U> TryInto<U> for T where U: TryFrom<T>,

type Error = <U as TryFrom<T>>::Error

fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>

impl<V, T> VZip<V> for T where V: MultiLane<T>,

fn vzip(self) -> V

impl<T> SendSyncUnwindSafe for T where T: Send + Sync + UnwindSafe + ?Sized,

pub fn predict_probabilities<A: Data<Elem = F>>(
&self,
x: &ArrayBase<A, Ix2>
) -> Array1<F>

impl<C: PartialOrd + Clone + Default, F: Float, D: Data<Elem = F>> PredictInplace<ArrayBase<D, Dim<[usize ; 2]>>, ArrayBase<OwnedRepr<C>, Dim<[usize ; 1]>>> for FittedLogisticRegression<F, C>

impl<F, C> RefUnwindSafe for FittedLogisticRegression<F, C> where
C: RefUnwindSafe,
F: RefUnwindSafe,

impl<F, C> Send for FittedLogisticRegression<F, C> where
C: Send,

impl<F, C> Sync for FittedLogisticRegression<F, C> where
C: Sync,

impl<F, C> Unpin for FittedLogisticRegression<F, C> where
C: Unpin,

impl<F, C> UnwindSafe for FittedLogisticRegression<F, C> where
C: UnwindSafe,
F: UnwindSafe + RefUnwindSafe,

impl<T> Any for T where
T: 'static + ?Sized,

impl<T> Borrow<T> for T where
T: ?Sized,

impl<T> BorrowMut<T> for T where
T: ?Sized,

impl<T, U> Into<U> for T where
U: From<T>,

impl<'a, F, D, DM, T, O> Predict<&'a ArrayBase<D, DM>, T> for O where
D: Data<Elem = F>,
DM: Dimension,
O: PredictInplace<ArrayBase<D, DM>, T>,

impl<'a, F, R, T, S, O> Predict<&'a DatasetBase<R, T>, S> for O where
R: Records<Elem = F>,
O: PredictInplace<R, S>,

impl<F, D, E, T, O> Predict<ArrayBase<D, Dim<[usize ; 2]>>, DatasetBase<ArrayBase<D, Dim<[usize ; 2]>>, T>> for O where
D: Data<Elem = F>,
T: AsTargets<Elem = E>,
O: PredictInplace<ArrayBase<D, Dim<[usize ; 2]>>, T>,

fn predict(
&self,
records: ArrayBase<D, Dim<[usize ; 2]>>
) -> DatasetBase<ArrayBase<D, Dim<[usize ; 2]>>, T>

impl<F, R, T, E, S, O> Predict<DatasetBase<R, T>, DatasetBase<R, S>> for O where
R: Records<Elem = F>,
S: AsTargets<Elem = E>,
O: PredictInplace<R, S>,

impl<T> ToOwned for T where
T: Clone,

impl<T, U> TryFrom<U> for T where
U: Into<T>,

impl<T, U> TryInto<U> for T where
U: TryFrom<T>,

impl<V, T> VZip<V> for T where
V: MultiLane<T>,

impl<T> SendSyncUnwindSafe for T where
T: Send + Sync + UnwindSafe + ?Sized,