text_html_output_1.png
import numpy as np

import os

import pandas as pd

import random

import torch

SEED = 200
base_dir = '../input/'
def seed_everything(seed=SEED):
    random.seed(seed)
    os.environ['PYHTONHASHSEED'] = str(seed)
    np.random.seed(seed)
    torch.manual_seed(seed)
    torch.cuda.manual_seed(seed)
    torch.backends.cudnn.deterministic = True
seed_everything(SEED)

train_data = pd.read_csv(base_dir + '/train/train.csv')

test_data = pd.read_csv(base_dir + '/test_ApKoW4T.csv')
test_data.head()