各位大虾，

    for feature_id in range(len(feature_set)):
        # get the feature we're looking at (h_i)
        feature = feature_set[feature_id]

        # determine the subset of negative_examples_set (N)
        # covered by our feature (h_i)
        Q[feature_id] = \
            filter( lambda (is_positive, data_point) :
feature.covers_neg_point(data_point) , \
                negative_examples_set)

        # determine the subset of positive_examples_set (P) on
        # which our feature (h_i) makes a mistake
        R[feature_id] = \
            filter( lambda (is_positive, data_point) :
feature.errs_pos_point(data_point) , \
                positive_examples_set)
作用域是不是到这结束？


    while (len(negative_examples_set)>0) and
(len(result_set)xunkai.wei at gmail.com
-------------- next part --------------
An HTML attachment was scrubbed...
URL: http://python.cn/pipermail/python-chinese/attachments/20071101/6462e86d/attachment.html 

for 与 其它的块语句一样，当遇到缩近与for相同或少于for的语句时就结束了。所以当碰到下面的while时因为缩近相同，所以在while前就结束了。

On 11/1/07, xunkai wei <xunkai.wei在gmail.com> wrote:
> 各位大虾，
>
>     for feature_id in range(len(feature_set)):
>         # get the feature we're looking at (h_i)
>         feature = feature_set[feature_id]
>
>         # determine the subset of negative_examples_set (N)
>         # covered by our feature (h_i)
>         Q[feature_id] = \
>             filter( lambda (is_positive, data_point) :
> feature.covers_neg_point(data_point) , \
>                 negative_examples_set)
>
>         # determine the subset of positive_examples_set (P) on
>         # which our feature (h_i) makes a mistake
>         R[feature_id] = \
>             filter( lambda (is_positive, data_point) :
> feature.errs_pos_point(data_point) , \
>                 positive_examples_set)
> 作用域是不是到这结束？
>
>
>     while (len(negative_examples_set)>0) and
> (len(result_set)>
>         iterations = iterations+1
>
> 谢谢
>
>


-- 
I like python!
UliPad <>: http://code.google.com/p/ulipad/
meide <>: http://code.google.com/p/meide/
My Blog: http://www.donews.net/limodou

了解了，多谢多谢！发现python跟matlab不一样，有很多优势，需要好好学习啊，呵呵，谢谢您！

On 11/1/07, limodou <limodou at gmail.com> wrote:
>
> for 与
> 其它的块语句一样，当遇到缩近与for相同或少于for的语句时就结束了。所以当碰到下面的while时因为缩近相同，所以在while前就结束了。
>
> On 11/1/07, xunkai wei <xunkai.wei at gmail.com> wrote:
> > 各位大虾，
> >
> >     for feature_id in range(len(feature_set)):
> >         # get the feature we're looking at (h_i)
> >         feature = feature_set[feature_id]
> >
> >         # determine the subset of negative_examples_set (N)
> >         # covered by our feature (h_i)
> >         Q[feature_id] = \
> >             filter( lambda (is_positive, data_point) :
> > feature.covers_neg_point(data_point) , \
> >                 negative_examples_set)
> >
> >         # determine the subset of positive_examples_set (P) on
> >         # which our feature (h_i) makes a mistake
> >         R[feature_id] = \
> >             filter( lambda (is_positive, data_point) :
> > feature.errs_pos_point(data_point) , \
> >                 positive_examples_set)
> > 作用域是不是到这结束？
> >
> >
> >     while (len(negative_examples_set)>0) and
> > (len(result_set)> >
> >         iterations = iterations+1
> >
> > 谢谢
> >
> >
>
>
> --
> I like python!
> UliPad <>: http://code.google.com/p/ulipad/
> meide <>: http://code.google.com/p/meide/
> My Blog: http://www.donews.net/limodou
> _______________________________________________
> python-chinese
> Post: send python-chinese at lists.python.cn
> Subscribe: send subscribe to python-chinese-request at lists.python.cn
> Unsubscribe: send unsubscribe to  python-chinese-request at lists.python.cn
> Detail Info: http://python.cn/mailman/listinfo/python-chinese




-- 
XunKai Wei
IEEE Member
Air Force Engineering University
Xi'an, China
Email:xunkai.wei at gmail.com
-------------- next part --------------
An HTML attachment was scrubbed...
URL: http://python.cn/pipermail/python-chinese/attachments/20071101/bb5277da/attachment.html