from keras.models import load_model import numpy import matplotlib.pyplot as plt from pandas import read_csv import math from keras import callbacks from keras.models import Sequential from keras.layers import Dense, Dropout from keras.layers import LSTM from keras import optimizers from keras.layers import Activation from keras.layers.advanced_activations import LeakyReLU from sklearn.preprocessing import MinMaxScaler from sklearn.metrics import mean_squared_error import time

model = load_model('with_googletrends_lstm6_dense1_epochs2000_batchsize250_validation021515416205.h5')