machine learning - Using HMM in Weka -

I have to try to do something classify my data weka.classifiers.bayes.HMM'm using, but I can not get an instance of appearing properly my Aarff file ... documentation was not really clear to me

so, I think that Acmm require time-series data is That is, my question is that it is represented in my dataset How is this done? Do I have to add another "Numerical" index to each feature line? For example, on my property are 3 lines (there are a total of thousands of 10s, but all follow this format):

2,2.217950,2.235440,0.031252,2.224833,2.301141,0.093227, 1.940765,1.973835,0.064434, 1 2,2k2l6870,2k235608,0k035570,2k2l7950,2k235440,0k03l252,2k023l6l,2k53l5l3,0k623939,l 2,2k2l6577,2k246l09,0k045806,2k2l6870,2k235608,0k035570,2k4970l0,2k529l99,0k050049,l < / p>

each row several energy readings and all sequential are listed in order: 1 line came first, second line came after 1 second, third line, the first seconds after the reading of the second row B

How do I use. HMM in VICKA to train on this set? (Yes i know i need a different test dataset also a timeseries that will be required)

thanks !!

From the homepage:

HMM classifier only Secens Data, which Weka Work on representation as a relational specialty . Examples of data should be a single, nominal, class characteristic and single, relational, sequence feature [...]