import numpy as np
import pandas as pd

from sklearn import ensemble
from sklearn import datasets
from sklearn.utils import shuffle
from sklearn.metrics import mean_squared_error
from sklearn import linear_model
from sklearn.gaussian_process import GaussianProcessRegressor
from sklearn.neural_network import MLPRegressor
from joblib import dump, load

train = pd.read_csv("train.csv")
x = train[train.columns[:-1]]
y = train[train.columns[2:3]]

test = pd.read_csv("test.csv")
x_test = test[test.columns[:-1]]
y_test = test[test.columns[2:3]]

clf = load('modelName.joblib')
y_res = clf.predict(x_test)