我试图在Weka中打开一个Arff，但却遇到两个错误。
首先，文件不被识别为＆＃34; Arff数据文件＆＃34;。原因：文件过早结束读取令牌[EOL]，第3267行。
此外，如果我点击＆＃34;使用转换器＆＃34;缺少值＆＃34;？＆＃34;，
第二个错误是， csvloader无法加载。原因：值的数量错误，读取2，预期值1，读取令牌[EOF]，3267
文件是：
答案 0 :(得分：0)
任何arff file都应包含值之间的逗号，而您的文件没有。你确定这是一个有效的arff文件吗？
您的arff文件无效。您的属性会重复出现。你只需要申报一次。例如，如果您有以下属性
set CLASSPATH=.;d:\tools\Weka-3-7\weka.jar
d:\atilla\downloads>java weka.core.Instances sg.arff
java.io.IOException: Unable to determine structure as arff (Reason: java.lang.Il
legalArgumentException: Attribute names are not unique! Causes: 'campus' 'friend' 'homework' 'people' 'people' 'do' 'work' 'work' 'study' 'campus' 'people' 'people' 'life' 'learn' 'study' 'learn' 'put' 'study' 'learn' 'institute' 'get' 'put
以下是由您的文件构建的有效arff文件。
@relation sg-test
@attribute campus real
@attribute utilitarian real
@attribute put real
@attribute much real
@attribute make real
@attribute look real
@attribute nice real
@attribute people real
@attribute busy real
@attribute have real
@attribute real real
@attribute friendship real
@attribute institute real
@attribute end real
@attribute pick real
@attribute homework real
@attribute friend real
@attribute lose real
@attribute way real
@attribute crushed real
@attribute lie real
@attribute say real
@attribute do real
@attribute work real
@attribute time real
@attribute type real
@attribute study real
@attribute room real
@attribute many real
@attribute great real
@attribute place real
@attribute go real
@attribute city real
@attribute dull real
@attribute Class {term,score}
@data
0.0,0.041666666666666664,-0.019185326611942655,0.005523215037172114,0.0,0.012052341597796145,0.02062568512992925,0.0,-0.030000000000000006,0.708941605839416,0.0,0.12317518248175183,0.05020802460556254,-0.019147145462196667,0.125,0.0,0.0,-0.06617570128224504,0.0,0.10948905109489052,0.10948905109489052,0.0,-0.3490625485300618,0.00402808616500622,0.0,-0.125,0.0,-0.028925619834710748,0.006898734933282365,-0.019185326611942655,0.015740237951508994,0.015740237951508994,0.12091857471887278,0.0,term
当我执行相同的命令时。我从Weka获得以下信息。
Relation Name: sg-test
Num Instances: 1
Num Attributes: 35
Name Type Nom Int Real Missing Unique Dist
1 campus Num 0% 100% 0% 0 / 0% 1 /100% 1
2 utilitarian Num 0% 0% 100% 0 / 0% 1 /100% 1
3 put Num 0% 0% 100% 0 / 0% 1 /100% 1
4 much Num 0% 0% 100% 0 / 0% 1 /100% 1
5 make Num 0% 100% 0% 0 / 0% 1 /100% 1
6 look Num 0% 0% 100% 0 / 0% 1 /100% 1
7 nice Num 0% 0% 100% 0 / 0% 1 /100% 1
8 people Num 0% 100% 0% 0 / 0% 1 /100% 1
9 busy Num 0% 0% 100% 0 / 0% 1 /100% 1
10 have Num 0% 0% 100% 0 / 0% 1 /100% 1
11 real Num 0% 100% 0% 0 / 0% 1 /100% 1
12 friendship Num 0% 0% 100% 0 / 0% 1 /100% 1
13 institute Num 0% 0% 100% 0 / 0% 1 /100% 1
14 end Num 0% 0% 100% 0 / 0% 1 /100% 1
15 pick Num 0% 0% 100% 0 / 0% 1 /100% 1
16 homework Num 0% 100% 0% 0 / 0% 1 /100% 1
17 friend Num 0% 100% 0% 0 / 0% 1 /100% 1
18 lose Num 0% 0% 100% 0 / 0% 1 /100% 1
19 way Num 0% 100% 0% 0 / 0% 1 /100% 1
20 crushed Num 0% 0% 100% 0 / 0% 1 /100% 1
21 lie Num 0% 0% 100% 0 / 0% 1 /100% 1
22 say Num 0% 100% 0% 0 / 0% 1 /100% 1
23 do Num 0% 0% 100% 0 / 0% 1 /100% 1
24 work Num 0% 0% 100% 0 / 0% 1 /100% 1
25 time Num 0% 100% 0% 0 / 0% 1 /100% 1
26 type Num 0% 0% 100% 0 / 0% 1 /100% 1
27 study Num 0% 100% 0% 0 / 0% 1 /100% 1
28 room Num 0% 0% 100% 0 / 0% 1 /100% 1
29 many Num 0% 0% 100% 0 / 0% 1 /100% 1
30 great Num 0% 0% 100% 0 / 0% 1 /100% 1
31 place Num 0% 0% 100% 0 / 0% 1 /100% 1
32 go Num 0% 0% 100% 0 / 0% 1 /100% 1
33 city Num 0% 0% 100% 0 / 0% 1 /100% 1
34 dull Num 0% 100% 0% 0 / 0% 1 /100% 1
35 Class Nom 100% 0% 0% 0 / 0% 1 /100% 1