Excellent , I will have a look tomorrow and will give you my user feedback !
Didier Vila, PhD | Risk | CapQuest Group Ltd | Fleet 27 | Rye Close | Fleet | Hampshire | GU51 2QQ | Tel: 0871 574 7989 | Fax: 0871 574 2992 | Email: dv...@capquestco.com -----Original Message----- From: SUJIT PAL [mailto:sujit....@comcast.net] Sent: 18 March 2013 21:52 To: scikit-learn-general@lists.sourceforge.net Subject: Re: [Scikit-learn-general] Multiple training instances in theHMMlibrary FWIW, and its probably a bit off-topic (sorry about that), I have a implementation of the Bob-Alice example on Wikipedia's HMM page here, may be helpful to some... http://sujitpal.blogspot.com/2013/03/the-wikipedia-bob-alice-hmm-example.html I think it would make a nice tutorial example too, its short and easy to understand, if the dev team feels similarly, feel free to use it... Just posted it last weekend, was actually looking to use the hmm library for a Named Entity Recognizer (homework) but found that NLTK also has a hmm library so using that instead now. -sujit On Mar 18, 2013, at 1:59 PM, Didier Vila wrote: > Any code of your example is more than welcome > > Didier Vila, PhD | Risk | CapQuest Group Ltd | Fleet 27 | Rye Close | > Fleet | Hampshire | GU51 2QQ | Tel: 0871 574 7989 | Fax: 0871 574 2992 > | Email: dv...@capquestco.com > > From: Leon Palafox [mailto:leonoe...@gmail.com] > Sent: 18 March 2013 20:57 > To: scikit-learn-general@lists.sourceforge.net > Subject: Re: [Scikit-learn-general] Multiple training instances in the > HMMlibrary > > But I agree, is one hack that can be done outside of the code > > > On Mon, Mar 18, 2013 at 1:56 PM, Leon Palafox <leonoe...@gmail.com> wrote: > Yeah, but wouldn't that beat the whole point of training an HMM to > learn batches of data of Length N > > If I'm following you, you would append K sequences of length N, ending with a > whole sequence of size K*N, and when you have a new observation, of length N, > in order to predict, you would have to tile it so it fits the shape of the > whole Model, and each of the training examples can evaluate the new > observation? > > Sounds even nastier. > > > > > > > On Mon, Mar 18, 2013 at 1:49 PM, Philipp Singer <kill...@gmail.com> wrote: > Well, you can quite easily append multiple sequences to each other by > introducing a RESET state that you append to the first sequence and then you > add the next and so on. As the HMM afaik only supports first orders this > should work quite well. > > Regards, > Philipp > > Am 18.03.2013 21:42, schrieb Leon Palafox: > Yes, I meant that, I think is a very important functionality, since is the > one that would allow us to put nice Speech Recognition examples as well as > other niceties. > > > On Mon, Mar 18, 2013 at 1:34 PM, Lars Buitinck <l.j.buiti...@uva.nl> wrote: > 2013/3/18 Leon Palafox <leonoe...@gmail.com>: > > I know the HMM library is in a so-so case, but I was wondering > > whether it has the capability of learning from multiple training > > examples, since the examples in the site all focus on single trial cases. > > You mean multiple sequences? Last time I checked it couldn't. > > -- > Lars Buitinck > Scientific programmer, ILPS > University of Amsterdam > > ---------------------------------------------------------------------- > -------- Everyone hates slow websites. So do we. > Make your web apps faster with AppDynamics Download AppDynamics Lite > for free today: > http://p.sf.net/sfu/appdyn_d2d_mar > _______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > > > > -- > Leon Palafox, M.Sc > PhD Candidate > Iba Laboratory > +81-3-5841-8436 > University of Tokyo > Tokyo, Japan. > > > > ---------------------------------------------------------------------- > -------- Everyone hates slow websites. So do we. > Make your web apps faster with AppDynamics Download AppDynamics Lite > for free today: > http://p.sf.net/sfu/appdyn_d2d_mar > > > _______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > > > ---------------------------------------------------------------------- > -------- Everyone hates slow websites. So do we. > Make your web apps faster with AppDynamics Download AppDynamics Lite > for free today: > http://p.sf.net/sfu/appdyn_d2d_mar > _______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > > > > > -- > Leon Palafox, M.Sc > PhD Candidate > Iba Laboratory > +81-3-5841-8436 > University of Tokyo > Tokyo, Japan. > > > > > -- > Leon Palafox, M.Sc > PhD Candidate > Iba Laboratory > +81-3-5841-8436 > University of Tokyo > Tokyo, Japan. > > This e-mail is intended solely for the addressee, is strictly > confidential and may also be legally privileged. If you are not the > addressee please do not read, print, re-transmit, store or act in > reliance on it or any attachments. Instead, please email it back to > the sender and then immediately permanently delete it. 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CapQuest Group Limited (registered number 4936030), CapQuest Debt Recovery Limited (registered number 3772278), CapQuest Investments Limited (registered number 5245825), CapQuest Asset Management Limited (registered number 5245829) and CapQuest Mortgage Servicing Limited (registered number 05821008) are all limited companies registered in England and Wales with their registered offices at Fleet 27, Rye Close, Fleet, Hampshire, GU51 2QQ. Each company is a separate and independent legal entity. None of the companies have any liability for each other's acts or omissions. This communication is from the company named in the sender's details above. ------------------------------------------------------------------------------ Everyone hates slow websites. So do we. 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