在使用机器学习时，我具有八个功能和四个目标，我想使用一组模型来进行所有预测，在这种情况下，我想创建一个列表和一个循环的东西，以便一个模型可以使用四次。但是，我不太确定如何列出并做到这一点，有人可以帮我吗？代码附在下面
import matplotlib.pyplot as plt
import numpy as np
import sklearn
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import MinMaxScaler
from tensorflow.python.keras.models import Sequential
from tensorflow.python.keras.layers import Dense
from tensorflow import keras
"""------------- Read all the data points in the file ----------------------------------------"""
zeolite_13X_error = pd.read_csv("zeolite_13X_error.csv", delimiter=",") # Used for training set
zeolite_copy = zeolite_13X_error.copy() # Used for test set
"""--------------------------------------------------------------------------------------------"""
"""------------- Filter points, Recovery rate and Purity - Test Set Only ---------------------"""
zeolite_13X_error_testset = zeolite_copy[zeolite_copy.Recovery > 0.7]
zeolite_13X_error_testset = zeolite_13X_error_testset[zeolite_13X_error_testset.Purity > 0.7]
zeolite_13X_error_testset = zeolite_13X_error_testset[zeolite_13X_error_testset.Recovery < 1.0]
# Shuffle all the data points in test set
# Anaconda 3.7 Python
zeolite_13X_error_testset = zeolite_13X_error_testset.reindex(
np.random.permutation(zeolite_13X_error_testset.index))
# search random package, use seed package
# Extrapolate the values row by row
zeolite_13X_error_testset = zeolite_13X_error_testset.values
test_list = []
test_list.append(zeolite_13X_error_testset)
此后，我不确定如何使每个列表包含所有八个功能，而只有一个所需的目标。任何人都可以帮我一下，谢谢。