add missing mutations

Cargo.toml

@@ -15,7 +15,7 @@ license = "MIT"
 
 [features]
 default = ["max-index"]
-#crossover = ["genetic-rs/crossover"]
+crossover = ["genetic-rs/crossover"]
 rayon = ["genetic-rs/rayon", "dep:rayon"]
 max-index = []
 

src/runnable.rs

@@ -82,7 +82,7 @@ impl<const I: usize, const O: usize> NeuralNetwork<I, O> {
  n.state.value += self.process_neuron(l) * w;
  }
 
- n.sigmoid();
+ n.activate();
 
  n.state.value
  }
@@ -112,7 +112,7 @@ impl<const I: usize, const O: usize> NeuralNetwork<I, O> {
 
  let mut nw = n.write().unwrap();
  nw.state.value += val;
- nw.sigmoid();
+ nw.activate();
 
  nw.state.value
  }
@@ -240,6 +240,9 @@ pub struct Neuron {
 
  /// The current state of the neuron.
  pub state: NeuronState,
+
+ /// The neuron's activation function
+ pub activation: ActivationFn,
 }
 
 impl Neuron {
@@ -248,9 +251,9 @@ impl Neuron {
  self.state.value = self.bias;
  }
 
- /// Applies the sigoid activation function to the state's current value.
- pub fn sigmoid(&mut self) {
- self.state.value = 1. / (1. + std::f32::consts::E.powf(-self.state.value))
+ /// Applies the activation function to the neuron
+ pub fn activate(&mut self) {
+ self.state.value = (self.activation.func)(self.state.value);
  }
 }
 
@@ -263,6 +266,7 @@ impl From<&NeuronTopology> for Neuron {
  value: value.bias,
  ..Default::default()
  },
+ activation: value.activation.clone(),
  }
  }
 }