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, so if I want it to detect states
related to regimes(up, down and neutral trends), I have to transform price
into binary time series, such as 1 indicates current minute is a rise
compare to previous minutes, -1 indicates current minute is a drop compare
to previous minutes, 0 is unchanged. But if I transform my price info into
binary information, I loss magnitude information. How can I keep the
magnitude information, yet still let the hmm detect up, down and neutral
trend, instead of mean and variance regimes.

-- 
王硕
邮箱:[email protected]
Whatever your journey, keep walking.
------------------------------------------------------------------------------
Introducing Performance Central, a new site from SourceForge and 
AppDynamics. Performance Central is your source for news, insights, 
analysis and resources for efficient Application Performance Management. 
Visit us today!
http://pubads.g.doubleclick.net/gampad/clk?id=48897511&iu=/4140/ostg.clktrk
_______________________________________________
Scikit-learn-general mailing list
[email protected]
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general

Reply via email to