if os.path.isfile(path + "params.pkl"):
print "Restarting from earlier saved parameters!"
model.load_parameters(path)
LB_list = np.load(path + "LB_list.npy")
epoch = len(LB_list)
if __name__ == "__main__":
print "iterating"
while epoch < n_epochs:
epoch += 1
start = time.time()
np.random.shuffle(batch_order)
LB = 0.
for batch in batch_order:
batch_LB = model.update(batch, epoch)
LB += batch_LB
LB /= len(batch_order)
LB_list = np.append(LB_list, LB)
print "Epoch {0} finished. LB: {1}, time: {2}".format(epoch, LB, time.time() - start)
np.save(path + "LB_list.npy", LB_list)
model.save_parameters(path)
valid_LB = model.likelihood(x_valid)
print "LB on validation set: {0}".format(valid_LB)
if os.path.isfile(path + "params.pkl"):
print "Restarting from earlier saved parameters!"
model.load_parameters(path)
LB_list = np.load(path + "LB_list.npy")
epoch = len(LB_list)
if __name__ == "__main__":
print "iterating"
while epoch < n_epochs:
epoch += 1
start = time.time()
np.random.shuffle(batch_order)
LB = 0.
for batch in batch_order:
batch_LB = model.update(batch, epoch)
LB += batch_LB
LB /= len(batch_order)
LB_list = np.append(LB_list, LB)
print "Epoch {0} finished. LB: {1}, time: {2}".format(
epoch, LB,
time.time() - start)
np.save(path + "LB_list.npy", LB_list)
model.save_parameters(path)
valid_LB = model.likelihood(x_valid)
print "LB on validation set: {0}".format(valid_LB)
if os.path.isfile(path + "params.pkl"):
print("Restarting from earlier saved parameters!")
model.load_parameters(path)
LB_list = np.load(path + "LB_list.npy")
epoch = len(LB_list)
if __name__ == "__main__":
print("iterating")
while epoch < n_epochs:
epoch += 1
start = time.time()
np.random.shuffle(batch_order)
LB = 0.
for batch in batch_order:
batch_LB = model.update(batch, epoch)
LB += batch_LB
LB /= len(batch_order)
LB_list = np.append(LB_list, LB)
print("Epoch {0} finished. LB: {1}, time: {2}".format(
epoch, LB,
time.time() - start))
np.save(path + "LB_list.npy", LB_list)
model.save_parameters(path)
valid_LB = model.likelihood(x_valid.astype(theano.config.floatX))
print("LB on validation set: {0}".format(valid_LB))
if os.path.isfile(path + "params.pkl"):
print("Restarting from earlier saved parameters!")
model.load_parameters(path)
LB_list = np.load(path + "LB_list.npy")
epoch = len(LB_list)
if __name__ == "__main__":
print("iterating")
while epoch < n_epochs:
epoch += 1
start = time.time()
np.random.shuffle(batch_order)
LB = 0.
for batch in batch_order:
batch_LB = model.update(batch, epoch)
LB += batch_LB
LB /= len(batch_order)
LB_list = np.append(LB_list, LB)
print("Epoch {0} finished. LB: {1}, time: {2}".format(epoch, LB, time.time() - start))
np.save(path + "LB_list.npy", LB_list)
model.save_parameters(path)
valid_LB = model.likelihood(x_valid.astype(theano.config.floatX))
print("LB on validation set: {0}".format(valid_LB))
