gdacciaro

public class Nodo {
    public int k;
    public Nodo sx;
    public Nodo dx;

    public Nodo(int k, Nodo sx, Nodo dx) {
        this.k = k;
        this.sx = sx;
        this.dx = dx;
    }

gdacciaro

import multiprocessing as mp
import numpy as np
import time


class CorsaDiCagnolini:

    def __init__(self):
        self.pool = mp.Pool(mp.cpu_count())

gdacciaro

  def estimate_error(self, inputs, targets, addToPlot=False):
        if self.isClassification:
            loss = 0

            for input, target in zip(inputs, targets):
                output = self.feedforward(input)
                single_loss = self.loss_function.getFunction(predicted=output, target=target)
                loss+=single_loss

            loss /= len(inputs)