wulin的博客

SVM根据提取的特征数据文件进行训练 #!/usr/bin/env python # coding: utf-8 # In[1]: from sklearn import svm import pandas as pd from sklearn.model_selection import train_test_split from sklearn.preprocessing import StandardScaler from sklearn.neighbors import KNeighborsC

换道 #!/usr/bin/env python # coding: utf-8 # In[1]: import numpy as np import pandas as pd import random f=pd.read_csv("./CL_train41.csv") # df=pd.read_csv("/home/mt/learn/NGSIM数据处理/csv/80/4:00-4:15/CL_train41.csv") ff=pd.read_csv("./trajectories-0750.csv

添加标签 对向左向右换道数据添加不同的标签 #!/usr/bin/env python # coding: utf-8 # In[1]: import csv import pandas as pd f2=pd.read_csv("./CL_train41.csv") f2 # In[2]: # TR_row=[] # for i in range(len(f2)): # if i==0: # continue # else: # if f2['

ngsim数据集处理