0_0_27645958_32264\Main.java:1: 错误: 需要'.'
import xgboost
^
0_0_27645958_32264\Main.java:3: 错误: 需要';'
import math
^
0_0_27645958_32264\Main.java:4: 错误: 需要class, interface或enum
from sklearn import cross_validation, tree, linear_model
^
0_0_27645958_32264\Main.java:4: 错误: 需要'.'
from sklearn import cross_validation, tree, linear_model
^
0_0_27645958_32264\Main.java:4: 错误: 需要';'
from sklearn import cross_validation, tree, linear_model
^
0_0_27645958_32264\Main.java:4: 错误: 需要class, interface或enum
from sklearn import cross_validation, tree, linear_model
^
0_0_27645958_32264\Main.java:4: 错误: 需要class, interface或enum
from sklearn import cross_validation, tree, linear_model
^
0_0_27645958_32264\Main.java:5: 错误: 需要'.'
from sklearn.model_selection import train_test_split
^
0_0_27645958_32264\Main.java:6: 错误: 需要';'
from sklearn.metrics import explained_variance_score
^
0_0_27645958_32264\Main.java:6: 错误: 需要'.'
from sklearn.metrics import explained_variance_score
^
0_0_27645958_32264\Main.java:8: 错误: 需要';'
import pandas as pd
^
0_0_27645958_32264\Main.java:8: 错误: 需要class, interface或enum
import pandas as pd
^
0_0_27645958_32264\Main.java:9: 错误: 需要'.'
import numpy as np
^
0_0_27645958_32264\Main.java:9: 错误: 需要';'
import numpy as np
^
0_0_27645958_32264\Main.java:15: 错误: 非法字符: '#'
# comma delimited is the default
^
0_0_27645958_32264\Main.java:18: 错误: 非法字符: '#'
# put the original column names in a python list
^
0_0_27645958_32264\Main.java:21: 错误: 未结束的字符文字
day = ｄｆ['day'].str.split('/')
^
0_0_27645958_32264\Main.java:21: 错误: 未结束的字符文字
day = ｄｆ['day'].str.split('/')
^
0_0_27645958_32264\Main.java:28: 错误: 非法字符: '#'
## remove the non-numeric columns
^
0_0_27645958_32264\Main.java:28: 错误: 非法字符: '#'
## remove the non-numeric columns
^
0_0_27645958_32264\Main.java:35: 错误: 非法字符: '#'
# put the numeric column names in a python list
^
0_0_27645958_32264\Main.java:38: 错误: 非法字符: '#'
# create a numpy array with the numeric values for input into scikit-learn
^
0_0_27645958_32264\Main.java:53: 错误: 非法字符: '#'
## check and split data, pre-training
^
0_0_27645958_32264\Main.java:53: 错误: 非法字符: '#'
## check and split data, pre-training
^
0_0_27645958_32264\Main.java:72: 错误: 非法字符: '#'
## train with XGboost regression model
^
0_0_27645958_32264\Main.java:72: 错误: 非法字符: '#'
## train with XGboost regression model
^
0_0_27645958_32264\Main.java:85: 错误: 非法字符: '#'
#ans = X_test[:,0,2]
^
0_0_27645958_32264\Main.java:88: 错误: 非法字符: '#'
## Result output
^
0_0_27645958_32264\Main.java:88: 错误: 非法字符: '#'
## Result output
^
0_0_27645958_32264\Main.java:90: 错误: 未结束的字符文字
df = pd.read_csv('test.csv', header = 0)
^
0_0_27645958_32264\Main.java:90: 错误: 未结束的字符文字
df = pd.read_csv('test.csv', header = 0)
^
0_0_27645958_32264\Main.java:92: 错误: 未结束的字符文字
days = df['day'].tolist()
^
0_0_27645958_32264\Main.java:92: 错误: 未结束的字符文字
days = df['day'].tolist()
^
0_0_27645958_32264\Main.java:93: 错误: 未结束的字符文字
hour = df['hour'].tolist()
^
0_0_27645958_32264\Main.java:93: 错误: 未结束的字符文字
hour = df['hour'].tolist()
^
0_0_27645958_32264\Main.java:96: 错误: 未结束的字符文字
title ='date,' + ','.join(train_title[1:3]) + "\n"
^
0_0_27645958_32264\Main.java:96: 错误: 未结束的字符文字
title ='date,' + ','.join(train_title[1:3]) + "\n"
^
0_0_27645958_32264\Main.java:99: 错误: 空字符文字
ans = ['']*len(days)
^
0_0_27645958_32264\Main.java:99: 错误: 未结束的字符文字
ans = ['']*len(days)
^
39 个错误
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