Not a member of Pastebin yet?
Sign Up,
it unlocks many cool features!
- import pandas as pd
- import numpy as np
- import pickle
- import matplotlib.pyplot as plt
- from scipy import stats
- import tensorflow as tf
- import seaborn as sns
- from pylab import rcParams
- from sklearn.model_selection import train_test_split
- from keras.models import Model, load_model
- from keras.layers import Input, Dense
- from keras.callbacks import ModelCheckpoint, TensorBoard
- from keras import regularizers
- %matplotlib inline
- RANDOM_SEED = 50 #help to randomly select the data points
- import warnings
- warnings.filterwarnings('ignore')
Add Comment
Please, Sign In to add comment