Re: [Scikit-learn-general] Adding a GNG implementation

Hi Alejandro, Thanks a lot for offering to contribute. I have the feeling that such techniques are no longer much used in the machine learning. I think that this might explain the lack of answer you go on the mailing list. We are currently somewhat struggling under fairly heavy growth and we hav

Re: [Scikit-learn-general] ImportError: cannot import name DictVectorizer

Hi Andy, thank you for your kind help. I disintalled scikit and installed it again: pip install -U scikit-learn Downloading/unpacking scikit-learn Downloading scikit-learn-0.14.1.tar.gz (6.8MB) Successfully installed scikit-learn Cleaning up... Now it seems working fine. Kind regards. Marco

[Scikit-learn-general] Vectorizer preprocessor gets truncated text

Hello, I use this code to classify a text: def classify(self, text): vectorizer = CountVectorizer(vocabulary=self.vocabulary, decode_error='replace', strip_accents='unicode', preprocessor=self.mail_preprocessor, stop_words='english', lowercase=Tr

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Re: [Scikit-learn-general] Possible replacement for Gaussian Process module

hi, I feel the same as Jake. Hadayat I looked at your code and there is a fair bit of refactoring to be done to fit with the scikit-learn API. I would encourage you to do this refactoring and try adapting the current GP examples to see how it compares in terms of speed, results and code readabil