Struct rusty_machine::learning::toolkit::activ_fn::Exp

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pub struct Exp;

Expand description

Exponential activation function.

Trait Implementations

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impl ActivationFunc for Exp

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fn func(x: f64) -> f64

The activation function.

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fn func_grad(x: f64) -> f64

The gradient of the activation function.

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fn func_grad_from_output(y: f64) -> f64

The gradient of the activation function calculated using the output of the function. Calculates f’(x) given f(x) as an input Read more

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fn func_inv(x: f64) -> f64

The inverse of the activation function.

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impl Clone for Exp

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fn clone(&self) -> Exp

Returns a copy of the value. Read more

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

Performs copy-assignment from source. Read more

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impl Debug for Exp

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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 Copy for Exp

Auto Trait Implementations

impl RefUnwindSafe for Exp

impl Send for Exp

impl Sync for Exp

impl Unpin for Exp

impl UnwindSafe for Exp

Blanket Implementations

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

fn type_id(&self) -> TypeId

Gets the TypeId of self. Read more

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

const: unstable

fn borrow(&self) -> &T

Immutably borrows from an owned value. Read more

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

const: unstable

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

Mutably borrows from an owned value. Read more

impl<T> From<T> for T

const: unstable

fn from(t: T) -> T

Returns the argument unchanged.

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

const: unstable

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> NetLayer for Twhere
T: ActivationFunc,

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fn forward(
 &self,
 input: &Matrix<f64>,
 MatrixSlice<'_, f64>
) -> Result<Matrix<f64>, Error>

Applies the activation function to each element of the input

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fn back_input(
 &self,
 out_grad: &Matrix<f64>,
 &Matrix<f64>,
 output: &Matrix<f64>,
 MatrixSlice<'_, f64>
) -> Matrix<f64>

The gradient of the output of this layer with respect to its input

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fn back_params(
 &self,
 &Matrix<f64>,
 &Matrix<f64>,
 &Matrix<f64>,
 MatrixSlice<'_, f64>
) -> Matrix<f64>

The gradient of the output of this layer with respect to its parameters

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fn default_params(&self) -> Vec<f64, Global>

The default value of the parameters of this layer before training

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fn param_shape(&self) -> (usize, usize)

The shape of the parameters used by this layer

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fn num_params(&self) -> usize

The number of parameters used by this layer

impl<T> ToOwned for Twhere
T: Clone,

type Owned = T

The resulting type after obtaining ownership.

fn to_owned(&self) -> T

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

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

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

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

type Error = Infallible

The type returned in the event of a conversion error.

const: unstable

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

Performs the conversion.

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

type Error = >::Error

The type returned in the event of a conversion error.

const: unstable

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

Performs the conversion.

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

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Struct rusty_machine::learning::toolkit::activ_fn::Exp

Trait Implementations

impl ActivationFunc for Exp

fn func(x: f64) -> f64

fn func_grad(x: f64) -> f64

fn func_grad_from_output(y: f64) -> f64

fn func_inv(x: f64) -> f64

impl Clone for Exp

fn clone(&self) -> Exp

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

impl Debug for Exp

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

impl Copy for Exp

Auto Trait Implementations

impl RefUnwindSafe for Exp

impl Send for Exp

impl Sync for Exp

impl Unpin for Exp

impl UnwindSafe for Exp

Blanket Implementations

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

fn type_id(&self) -> TypeId

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

fn borrow(&self) -> &T

impl<T> BorrowMut<T> for Twhere 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 Twhere U: From<T>,

fn into(self) -> U

impl<T> NetLayer for Twhere T: ActivationFunc,

fn forward( &self, input: &Matrix<f64>, MatrixSlice<'_, f64>) -> Result<Matrix<f64>, Error>

fn back_input( &self, out_grad: &Matrix<f64>, &Matrix<f64>, output: &Matrix<f64>, MatrixSlice<'_, f64>) -> Matrix<f64>

fn back_params( &self, &Matrix<f64>, &Matrix<f64>, &Matrix<f64>, MatrixSlice<'_, f64>) -> Matrix<f64>

fn default_params(&self) -> Vec<f64, Global>

fn param_shape(&self) -> (usize, usize)

fn num_params(&self) -> usize

impl<T> ToOwned for Twhere T: Clone,

type Owned = T

fn to_owned(&self) -> T

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

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

type Error = Infallible

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

impl<T, U> TryInto<U> for Twhere 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 Twhere V: MultiLane<T>,

fn vzip(self) -> V

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

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

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

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

impl<T> NetLayer for Twhere
T: ActivationFunc,

fn forward(
&self,
input: &Matrix<f64>,
MatrixSlice<'_, f64>
) -> Result<Matrix<f64>, Error>

fn back_input(
&self,
out_grad: &Matrix<f64>,
&Matrix<f64>,
output: &Matrix<f64>,
MatrixSlice<'_, f64>
) -> Matrix<f64>

fn back_params(
&self,
&Matrix<f64>,
&Matrix<f64>,
&Matrix<f64>,
MatrixSlice<'_, f64>
) -> Matrix<f64>

impl<T> ToOwned for Twhere
T: Clone,

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

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

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