Re: [Scikit-learn-general] question on hmm

2013-08-25 Thread Shuo Wang
distance from 0 threshold for "neutral") and the absolute value > will give you the magnitude. > > Regards, > > -- > Helge Reikeras > > On Sunday 25 August 2013 at 4:41 PM, Shuo Wang wrote: > > Hi, > > I have two questions regarding the hmm model from a

[Scikit-learn-general] question on hmm

2013-08-25 Thread Shuo Wang
Hi, I have two questions regarding the hmm model from a user's perspective, 1. what is the difference between method decode and predict, they seems to be having the same description 2. If i fit a financial time series into hmm, hmm seems to automatically detect states based on mean and variance,

Re: [Scikit-learn-general] Dynamic Bayes network/hierarchical hidden markov model (hhmm)

2013-08-23 Thread Shuo Wang
time series. Any other better methods that can be used to learn and predict regime in a time series? On Fri, Aug 23, 2013 at 2:23 PM, Andreas Mueller wrote: > Hi Shuo Wang. > There seem to be quite a lot of packages, if you google "python bayes net". > I have never u

[Scikit-learn-general] Dynamic Bayes network/hierarchical hidden markov model (hhmm)

2013-08-22 Thread Shuo Wang
Hi all, I have been trying to search a equivalent python package for Bayes Net Toolbox https://code.google.com/p/bnt/ Of which I can specify a hierarchical hidden markov model (hhmm) and train it with data. Is there any python package available for this kind of task? -- 王硕 邮箱:shuo.x.w...@gmail.

[Scikit-learn-general] problem with parallel computing on windows xp

2013-07-31 Thread Shuo Wang
Hi, I am trying to run 4 jobs on windows xp with sklearn 0.13.1 model = RandomForestRegressor(n_estimators=500, compute_importances =True, n_jobs =4) I am receiving the following error Traceback (most recent call last): File "", line 1, in File "C:\Python27\lib\multiprocessing\forking.py",