import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
dataset = pd.read_csv('Admission_Predict_Ver1.1.csv')
print(dataset)
x1 = dataset.drop('SOP', axis='columns')
print(x1)
x = dataset.iloc[:,1:-1].values
y = dataset.iloc[:,-1].values
from sklearn.model_selection import train_test_split
x_tr,x_te,y_tr,y_te = train_test_split(x,y,test_size = 0.2, random_state = 0)
from sklearn.linear_model import LinearRegression
regressor = LinearRegression()
regressor.fit(x_tr,y_tr)
y_pred = regressor.predict(x_te)
import pickle
with open('model_pickle','wb') as f:
pickle.dump(y_pred,f)
with open('model_pickle','rb') as f:
pickle.load(f)
gre_score = float(input("Enter GRE Score: "))
toefl_score = float(input("Enter TOEFL Score: "))
university_rating = float(input("Enter University Rating: "))
cgpa = float(input("Enter CGPA: "))
research = float(input("Enter Research: "))
result = regressor.predict([gre_score,toefl_score,university_rating,cgpa,research])
print(result)
我正在尝试在 Web 应用程序中部署机器学习模型之上，但在打印预测时给出了低于值的错误。我必须做些什么来解决它！
ValueError: Expected 2D array, got 1D array instead:
array=[337. 118. 4. 4.5 9.65].
Reshape your data either using array.reshape(-1, 1) if your data has a single feature or
array.reshape(1, -1) if it contains a single sample.