application_vnd.jupyter.stderr_output_1.png
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import LabelEncoder, OneHotEncoder, StandardScaler
from keras.layers import Input
from keras.layers.core import Dense, Dropout, Activation
from keras.models import Model
from hyperopt import Trials, STATUS_OK, tpe
from hyperas import optim
from hyperas.distributions import choice, uniform