Struct rusty_machine::learning::toolkit::activ_fn::Linear

source · [−]

pub struct Linear;

Expand description

Linear activation function.

Trait Implementations

source

impl ActivationFunc for Linear

source

fn func(x: f64) -> f64

The activation function.

source

fn func_grad(_: f64) -> f64

The gradient of the activation function.

source

fn func_grad_from_output(_: 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

source

fn func_inv(x: f64) -> f64

The inverse of the activation function.

source

impl Clone for Linear

source

fn clone(&self) -> Linear

Returns a copy of the value. Read more

1.0.0

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

Performs copy-assignment from source. Read more

source

impl Debug for Linear

source

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

Formats the value using the given formatter. Read more

source

impl Copy for Linear

Auto Trait Implementations

impl RefUnwindSafe for Linear

impl Send for Linear

impl Sync for Linear

impl Unpin for Linear

impl UnwindSafe for Linear

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.

source

impl<T> NetLayer for Twhere
T: ActivationFunc,

source

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

Applies the activation function to each element of the input

source

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

source

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

source

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

The default value of the parameters of this layer before training

source

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

The shape of the parameters used by this layer

source

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.

source

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

source

Struct rusty_machine::learning::toolkit::activ_fn::Linear

Trait Implementations

impl ActivationFunc for Linear

fn func(x: f64) -> f64

fn func_grad(_: f64) -> f64

fn func_grad_from_output(_: f64) -> f64

fn func_inv(x: f64) -> f64

impl Clone for Linear

fn clone(&self) -> Linear

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

impl Debug for Linear

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

impl Copy for Linear

Auto Trait Implementations

impl RefUnwindSafe for Linear

impl Send for Linear

impl Sync for Linear

impl Unpin for Linear

impl UnwindSafe for Linear

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>,