import numpy as np import pandas as pd import readfile from neuralNetwork import NeuralNetwork import train_test import evaluation if __name__ == '__main__': input_nodes = 4096 hidden_nodes = 1000 output_nodes = 15 learning_rate = 0.1 rounds = 1 n = NeuralNetwork(input_nodes, hidden_nodes, output_nodes, learning_rate) n.load() train_test.train_neuralnetwork(n, rounds) real, pred = train_test.predict_neuralnetwork(n) n.save() precision, recall, f1_macro, f1_micro, kappa = evaluation.evaluate( real, pred)