training.py

print("Starting training process!")
print("-------------------------------------")
t_start = time.time()

for i in range(1, n_iter+1):
    triplets = get_triplets_hard(batch_size, X_usr, X_item, df_matrix)
    loss = network_train.train_on_batch(triplets, None)
    n_iteration += 1
    if i % evaluate_every == 0:
        print("\n ------------- \n")
        print("[{3}] Time for {0} iterations: {1:.1f} mins, Train Loss: {2}".format(i, (time.time()-t_start)/60.0,loss,n_iteration))