Struct prophet::NeuralNet

pub struct NeuralNet { /* fields omitted */ }

A neural net.

Can be trained with testing data and afterwards be used to predict results.

Neural nets in this implementation constists of several stacked neural layers and organized the data flow between them.

For example when the user uses predict from NeuralNet this object organizes the input data throughout all of its owned layers and pipes the result in the last layer back to the user.

Methods

impl NeuralNet

fn from_topology(topology: Topology) -> Self

Creates a new neural network of fully connected layers from a given topology.

Trait Implementations

impl Debug for NeuralNet

fn fmt(&self, __arg_0: &mut Formatter) -> Result

Formats the value using the given formatter.

impl Clone for NeuralNet

fn clone(&self) -> NeuralNet

Returns a copy of the value.

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

Performs copy-assignment from source.

impl<'b, A> Predict<A> for NeuralNet where
    A: Into<ArrayView1<'b, f32>>, 

fn predict(&mut self, input: A) -> ArrayView1<f32>

Predicts data based on given input data.