vowpal wabbitで.cacheファイルを使用中にエラーが発生しました。

Question

vowpal-wabbit tutorialに記載されている例を試していますが、* .cacheファイルを使用してトレーニング中にエラーが発生しています。エラー：6は単純なラベルのトークンが多すぎます：8.3.0c ？ p k> > L= O ？@ second_house p Q8> ޙ > 33 > O ？ third_housepは？

V$ cat house_dataset 
0 | price:.23 sqft:.25 age:.05 2006 
1 2 'second_house | price:.18 sqft:.15 age:.35 1976 
0 1 0.5 'third_house | price:.53 sqft:.32 age:.87 1924 

V$ ls -lrth 
total 4.0K 
-rw-r--r-- 1 A users 144 May 3 06:28 house_dataset 
V$ vw --version 
8.3.0 
V$ vw house_dataset -c 
Num weight bits = 18 
learning rate = 0.5 
initial_t = 0 
power_t = 0.5 
creating cache_file = house_dataset.cache 
Reading datafile = house_dataset 
num sources = 1 
average since   example  example current current current 
loss  last   counter   weight label predict features 
0.000000 0.000000   1   1.0 0.0000 0.0000  5 
0.666667 1.000000   2   3.0 1.0000 0.0000  5 

finished run 
number of examples per pass = 4 
passes used = 1 
weighted example sum = 5.000000 
weighted label sum = 2.000000 
average loss = 0.600000 
best constant = 0.500000 
best constant's loss = 0.250000 
total feature number = 16 
V$ vw house_dataset.cache 
Num weight bits = 18 
learning rate = 0.5 
initial_t = 0 
power_t = 0.5 
using no cache 
Reading datafile = house_dataset.cache 
num sources = 1 
average since   example  example current current current 
loss  last   counter   weight label predict features 
Error: 6 is too many tokens for a simple label: 8.3.0c�?�p�k>���>���L=��O�?@ 
                      second_house�p�Q8>�ޙ�>�33�>��O�?? 
                              third_house�p�?�� 
0.000000 0.000000   1   1.0 unknown 0.0000  1 
0.000000 0.000000   2   2.0 unknown 0.0000  1 

finished run 
number of examples per pass = 2 
passes used = 1 
weighted example sum = 2.000000 
weighted label sum = 0.000000 
average loss = 0.000000 
total feature number = 2 

Answer 1

それは $ vw --cache_file house_dataset.cache あなたは、コマンドライン引数の説明hereを確認することができなければなりません。