我试着像往常一样在jupyter笔记本上使用model.fit训练线性回归模型,但我的内核没有执行特定的代码行,也没有错误消息。
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns
dataset=pd.read_csv(r'C:\Users\USER\Downloads\melb_data.csv\melb_data.csv')
dataset.head()
col_to_use=['Suburb','Address','Rooms','Type','Price','Method','SellerG','Distance','Bedroom2','Car','Bathroom','Landsize','BuildingArea','CouncilArea','Regionname']
dataset=dataset[col_to_use]
dataset.head()
col_to_fill_zero=['CouncilArea','Car']
dataset[col_to_fill_zero]=dataset[col_to_fill_zero].fillna(0)
dataset=pd.get_dummies(dataset,drop_first=True
X=dataset.drop('Price', axis=1)
y=dataset['Price']
from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=2)
from sklearn.linear_model import LinearRegression
model=LinearRegression()
model.fit(X_train, y_train)
在这一点上,它显示了这个[*]并且不执行。
我试着中断并重新启动内核,但仍然无法工作