在 2016年10月2日星期日 UTC-4下午1:05:58，Peter Pearson写道：
> On Sat, 1 Oct 2016 18:12:29 -0700 (PDT), 38016226...@gmail.com wrote:
> > I am trying to print a simple decision tree for my homework.
> > The answer must keep in this format:
> >
> > Top 7,4,0.95
> > career gain = 100
> > 1.Management 2, 3, 0.9709505944546686
> > 2.Service 5, 1, 0.6500224216483541
> > location gain = 100
> > 1.Oregon 4, 1, 0.7219280948873623
> > 2.California 3, 3, 1.0
> > edu_level gain = 100
> > 1.High School 5, 1, 0.6500224216483541
> > 2.College 2, 3, 0.9709505944546686
> > years_exp gain = 100
> > 1.Less than 3 3, 1, 0.8112781244591328
> > 2.3 to 10 2, 1, 0.9182958340544896
> > 3.More than 10 2, 2, 1.0
> >
> > Here is my code:
> > features={'edu_level':['High School',
> 'College'],
> 'career': ['Management',
> 'Service'],
> 'years_exp':['Less than 3',
> '3 to 10',
> 'More than 10'],
> 'location':['Oregon',
> 'California']}
> >
> > print('Top 7,4,0.95')
> > for key in features:
> > print('{} gain = {}'.format(key,100))
> > attributes_list=features[key]
> > kargs={}
> > for i in range(len(attributes_list)):
> > kargs[key]=attributes_list[i]
> > low=table.count('Low',**kargs)
> > high=table.count('High',**kargs)
> > print('\t{}.{} {}, {}, {}'.format(
> i+1,attributes_list[i],low,high,entropy(low,high)))
> >
> > I set all the gain as 100 now.But actually the gain must calculate
> > with the data below. For example, the career gain need the data of
> > 'Management' and 'Service'. I don't know how to do. or Anyone can
> > provide me a better logic?
>
> I interpret your question as meaning that the value that you
> print after "gain =" should depend on features[key]. To do that,
> you'll need to insert a line resembling
> gain = gain_from_features(features[key])
> before the print statement. You'll have to write the gain_from_features
> function, and provide it with the numbers from which it will
> compute the gain.
>
> As a stylistic suggestion, note that Python allows you to break
> your "features=" line into a more readable format, as I have done
> above.
>
> Another stylistic suggestions:
> for key, attributes_list in features.iteritems():
>
> --
> To email me, substitute nowhere->runbox, invalid->com.
Thank you for your suggestion.I was so tired last night printing the structure
of decision tree crushed me.
I am not familiar with python and now I will try to modify my code.
--
https://mail.python.org/mailman/listinfo/python-list
