#!/usr/bin/python3

# File designed to be launched by user
print("Start session")

# Import python libraries
from scipy.special import expit

# Import local code to call
from lab import generator, trainer, benchmark

# Parameters
learnRate = 0.05
activation = expit
activationDerivative = lambda x : expit(x) * (1 - expit(x))
epochs = 1

# Session
network = generator.generate(activation, activationDerivative, generator.gaussAdaptedDev)

precisionBefore = benchmark.computePrecision(network)

network = trainer.train(network, learnRate, epochs)

precisionAfter = benchmark.computePrecision(network)

# Display results
print("Precision before training : ", precisionBefore)
print("Precision after training : ", precisionAfter)