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)
