Hi,
> I'm well aware I can pickle it, but I would like to avoid having to write
> 2 files - otherwise I would just write the classes to a text file.
>
You pickle several Python objects using the same file handler.
Gilles
>
> Lars,
> Well, I'm confused now, sklearn.__version__ says "0.14-git". Did I
> download the development branch?
>
> Your code works, so you're right, they do take string classifiers. My
> problem appears to arise when trying to use the scorers:
> If I try:
> metrics.classification_report(ytest, ypred)
> My error is:
> File
> "/usr/local/lib64/python2.7/site-packages/sklearn/metrics/metrics.py", line
> 2083, in classification_report
> target_names = ['%d' % l for l in labels]
> TypeError: %d format: a number is required, not numpy.string_
>
> Can I not use just the scorers with string classes?
>
> On Thu, Jul 18, 2013 at 1:02 AM, <
> [email protected]> wrote:
>
>>
>>
>> ------------------------------
>>
>> Message: 2
>> Date: Thu, 18 Jul 2013 09:01:57 +0200
>> From: Lars Buitinck <[email protected]>
>> Subject: Re: [Scikit-learn-general] Associating a LabelEncoder with a
>> Classifier?
>> To: [email protected]
>> Message-ID:
>> <CAKz-xUdB=
>> [email protected]>
>> Content-Type: text/plain; charset=UTF-8
>>
>> 2013/7/18 Wifi Gi <[email protected]>:
>>
>> > I am using Gaussian Bayes, Bernoulli Bayes, k-Nearest Neighbors, and the
>> > Decision Tree. None of them are taking string classes, hence why I was
>> using
>> > the LabelEncoder. Maybe I have an old/broken version? I have
>> scikit-learn
>> > version 0.14.
>>
>> The Naive Bayes classes support string labels all right:
>>
>> In [1]: from sklearn.naive_bayes import BernoulliNB
>>
>> In [2]: clf = BernoulliNB().fit([[1,0,0],[0,1,1]], ["no", "yes"])
>>
>> In [3]: clf.predict([1,1,1])
>> Out[3]:
>> array(['yes'],
>> dtype='|S3')
>>
>> In [4]: from sklearn.naive_bayes import GaussianNB
>>
>> In [5]: clf = GaussianNB().fit([[1,0,0],[0,1,1]], ["no", "yes"])
>>
>> In [6]: clf.predict([1,1,1])
>> Out[6]:
>> array(['yes'],
>> dtype='|S3')
>>
>> In [7]: clf.classes_
>> Out[7]:
>> array(['no', 'yes'],
>> dtype='|S3')
>>
>> And no, 0.14 isn't old, it's not even released yet.
>>
>> --
>> Lars Buitinck
>> Scientific programmer, ILPS
>> University of Amsterdam
>>
>>
>>
>>
>> End of Scikit-learn-general Digest, Vol 42, Issue 62
>> ****************************************************
>>
>
>
>
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