Method predict

src/nn.rs:107–117

Computes the output of the neural network for the given input.

(&self, input: &[f64])

    /// Computes the output of the neural network for the given input.
    pub fn predict(&self, input: &[f64]) -> Vec<f64> {

        assert!(self.layers.len() >= 2, "At least two layers are required.");
        assert!(input.len() == self.input_size(), "Dimension of input vector does not match.");

        self.params.iter()
            .fold(input.to_vec(), 
                  |v, ref params| [1.0].append(&params.mul_vec(&v).sigmoid())
            )
            .iter().skip(1).cloned().collect() // skip the bias unit TODO more elegant way?
    }

    pub fn optimize(&self, x: &Matrix<f64>, labels: &Matrix<f64>, p: OptParams<f64>) -> NeuralNetwork {