text_plain_output_1.png
import os

import os
import math
import pandas as pd
import numpy as np
import scipy as sp
import scipy.stats as stats
import seaborn as sns
import matplotlib.pyplot as plt
from sklearn.model_selection import TimeSeriesSplit
from sklearn.model_selection import cross_val_score
from sklearn.metrics import make_scorer, mean_squared_error
import lightgbm as lgb
from lightgbm import LGBMRegressor
from hyperopt import hp, tpe
from hyperopt.fmin import fmin
for dirname, _, filenames in os.walk('/kaggle/input'):
    for filename in filenames:
        print(os.path.join(dirname, filename))