MultiFittedLogisticRegression

linfa_logistic

Struct MultiFittedLogisticRegression 

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pub struct MultiFittedLogisticRegression<F, C: PartialOrd + Clone> { /* private fields */ }
Expand description

A fitted multinomial logistic regression which can make predictions

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

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

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pub fn params(&self) -> &Array2<F>

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pub fn predict_probabilities<A: Data<Elem = F>>( &self, x: &ArrayBase<A, Ix2>, ) -> Array2<F>

Return normalized probabilities for each output class. The output dimensions are (n_samples

  • n_classes).
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pub fn classes(&self) -> &[C]

Get the list of class labels, which maps the numerical class indices to the labels

Trait Implementations§

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impl<F: Clone, C: Clone + PartialOrd + Clone> Clone for MultiFittedLogisticRegression<F, C>

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

Returns a duplicate 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, C: Debug + PartialOrd + Clone> Debug for MultiFittedLogisticRegression<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, C: PartialEq + PartialOrd + Clone> PartialEq for MultiFittedLogisticRegression<F, C>

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

Tests for self and other values to be equal, and is used by ==.
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fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.
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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 MultiFittedLogisticRegression<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: Eq, C: Eq + PartialOrd + Clone> Eq for MultiFittedLogisticRegression<F, C>

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

Auto Trait Implementations§

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impl<F, C> Freeze for MultiFittedLogisticRegression<F, C>

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

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

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

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

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impl<F, C> UnwindSafe for MultiFittedLogisticRegression<F, C>
where F: RefUnwindSafe, C: UnwindSafe,

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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,

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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,

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

Mutably borrows from an owned value. Read more
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impl<T> CloneToUninit for T
where T: Clone,

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unsafe fn clone_to_uninit(&self, dest: *mut u8)

🔬This is a nightly-only experimental API. (clone_to_uninit)
Performs copy-assignment from self to dest. Read more
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impl<Q, K> Equivalent<K> for Q
where Q: Eq + ?Sized, K: Borrow<Q> + ?Sized,

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fn equivalent(&self, key: &K) -> bool

Compare self to key and return true if they are equal.
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impl<T> From<T> for T

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fn from(t: T) -> T

Returns the argument unchanged.

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

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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<T> IntoEither for T

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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 more
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fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
where F: FnOnce(&Self) -> bool,

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
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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,

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

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type Error = Infallible

The type returned in the event of a conversion error.
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fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>

Performs the conversion.
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impl<T, U> TryInto<U> for T
where U: TryFrom<T>,

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

The type returned in the event of a conversion error.
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fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>

Performs the conversion.
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impl<V, T> VZip<V> for T
where V: MultiLane<T>,

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fn vzip(self) -> V

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impl<T> DeserializeOwnedAlias for T

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impl<T> SendAlias for T

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impl<T> SerializeAlias for T

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impl<T> SyncAlias for T