Struct linfa_linear::TweedieRegressor

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pub struct TweedieRegressor<A> {
    pub coef: Array1<A>,
    pub intercept: A,
    /* private fields */
}

Expand description

Fitted Tweedie regressor model for scoring

Fields

coef: Array1<A>

Estimated coefficients for the linear predictor

intercept: A

Intercept or bias added to the linear model

Implementations

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impl<F: Float> TweedieRegressor<F>

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pub fn params() -> TweedieRegressorParams<F>

Trait Implementations

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impl<'de, A> Deserialize<'de> for TweedieRegressor<A> where
A: Deserialize<'de>,

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fn deserialize<D>(deserializer: D) -> Result<Self, D::Error> where
__D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer. Read more

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impl<A: Float, D: Data<Elem = A>> PredictInplace<ArrayBase<D, Dim<[usize ; 2]>>, ArrayBase<OwnedRepr<A>, Dim<[usize ; 1]>>> for TweedieRegressor<A>

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

Predict the target

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

Create targets that predict_inplace works with.

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impl<A> Serialize for TweedieRegressor<A> where
A: Serialize,

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fn serialize<S>(&self, serializer: S) -> Result<S::Ok, S::Error> where
S: Serializer,

Serialize this value into the given Serde serializer. Read more

Auto Trait Implementations

impl<A> RefUnwindSafe for TweedieRegressor<A> where
A: RefUnwindSafe,

impl<A> Send for TweedieRegressor<A> where
A: Send,

impl<A> Sync for TweedieRegressor<A> where
A: Sync,

impl<A> Unpin for TweedieRegressor<A> where
A: Unpin,

impl<A> UnwindSafe for TweedieRegressor<A> where
A: UnwindSafe + RefUnwindSafe,

Blanket Implementations

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

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pub 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

pub 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

pub 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

pub 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

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

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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

pub 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

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

Performs the conversion.

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

pub fn vzip(self) -> V

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Struct linfa_linear::TweedieRegressor

Fields

Implementations

impl<F: Float> TweedieRegressor<F>

pub fn params() -> TweedieRegressorParams<F>

Trait Implementations

impl<'de, A> Deserialize<'de> for TweedieRegressor<A> where A: Deserialize<'de>,

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where __D: Deserializer<'de>,

impl<A: Float, D: Data<Elem = A>> PredictInplace<ArrayBase<D, Dim<[usize; 2]>>, ArrayBase<OwnedRepr<A>, Dim<[usize; 1]>>> for TweedieRegressor<A>

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

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

impl<A> Serialize for TweedieRegressor<A> where A: Serialize,

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error> where __S: Serializer,

Auto Trait Implementations

impl<A> RefUnwindSafe for TweedieRegressor<A> where A: RefUnwindSafe,

impl<A> Send for TweedieRegressor<A> where A: Send,

impl<A> Sync for TweedieRegressor<A> where A: Sync,

impl<A> Unpin for TweedieRegressor<A> where A: Unpin,

impl<A> UnwindSafe for TweedieRegressor<A> where A: UnwindSafe + RefUnwindSafe,

Blanket Implementations

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

pub fn type_id(&self) -> TypeId

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

pub fn borrow(&self) -> &T

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

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

impl<T> From<T> for T

pub fn from(t: T) -> T

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

pub 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>,

pub 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>,

pub 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>,

pub 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>,

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

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

type Error = Infallible

pub 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

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

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

pub fn vzip(self) -> V

impl<T> DeserializeOwned for T where T: for<'de> Deserialize<'de>,

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

impl<'de, A> Deserialize<'de> for TweedieRegressor<A> where
A: Deserialize<'de>,

fn deserialize<D>(deserializer: D) -> Result<Self, D::Error> where
__D: Deserializer<'de>,

impl<A: Float, D: Data<Elem = A>> PredictInplace<ArrayBase<D, Dim<[usize ; 2]>>, ArrayBase<OwnedRepr<A>, Dim<[usize ; 1]>>> for TweedieRegressor<A>

impl<A> Serialize for TweedieRegressor<A> where
A: Serialize,

fn serialize<S>(&self, serializer: S) -> Result<S::Ok, S::Error> where
S: Serializer,

impl<A> RefUnwindSafe for TweedieRegressor<A> where
A: RefUnwindSafe,

impl<A> Send for TweedieRegressor<A> where
A: Send,

impl<A> Sync for TweedieRegressor<A> where
A: Sync,

impl<A> Unpin for TweedieRegressor<A> where
A: Unpin,

impl<A> UnwindSafe for TweedieRegressor<A> where
A: 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>,

pub 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, 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> DeserializeOwned for T where
T: for<'de> Deserialize<'de>,

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