Re: Question about a class member

[Robert]

On Thursday, January 7, 2016 at 5:06:07 PM UTC-5, Steven D'Aprano wrote:
> On Fri, 8 Jan 2016 04:23 am, Robert wrote:
> 
> > Hi,
> > 
> > I am using a download package. When I read its code, see below please, I
> > don't know what 'sample' is:
> > 
> > 
> > --
> > model = hmm.GaussianHMM(n_components=4, covariance_type="full")
> 
> 
> When I try running that code, I get an error:
> 
> 
> py> model = hmm.GaussianHMM(n_components=4, covariance_type="full")
> Traceback (most recent call last):
>   File "", line 1, in 
> NameError: name 'hmm' is not defined
> 
> What's hmm? Where does it come from? Is it this?
> 
> https://hmmlearn.github.io/hmmlearn/generated/hmmlearn.hmm.GaussianHMM.html
> 
> It has a sample method here:
> 
> https://hmmlearn.github.io/hmmlearn/generated/hmmlearn.hmm.GaussianHMM.html#hmmlearn.hmm.GaussianHMM.sample
> 
> 
> You should try googling for help before asking questions:
> 
> https://duckduckgo.com/html/?q=hmm.GaussianHMM
> 
> or use the search engine of your choice.
> 
> 
> -- 
> Steven

Thanks. I just realized that my list assumption was wrong. I got that 
conclusion was incorrect.
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Re: Question about a class member

[Robert]

On Thursday, January 7, 2016 at 12:24:53 PM UTC-5, Robert wrote:
> Hi,
> 
> I am using a download package. When I read its code, see below please, I 
> don't know what 'sample' is:
> 
> 
> --
> model = hmm.GaussianHMM(n_components=4, covariance_type="full")
> 
> model.startprob_ = startprob
> model.transmat_ = transmat
> model.means_ = means
> model.covars_ = covars
> 
> # Generate samples
> X, Z = model.sample(50)
> -
> 
> When I read its (class) definition, I find the following part (which may not
> be sure 100% the above origination yet, but it is the only line being 
> 'sample').
> //
> self.gmms_ = []
> for x in range(self.n_components):
> if covariance_type is None:
> gmm = GMM(n_mix)
> else:
> gmm = GMM(n_mix, covariance_type=covariance_type)
> self.gmms_.append(gmm)
> 
> def _init(self, X, lengths=None):
> super(GMMHMM, self)._init(X, lengths=lengths)
> 
> for g in self.gmms_:
> g.set_params(init_params=self.init_params, n_iter=0)
> g.fit(X)
> 
> def _compute_log_likelihood(self, X):
> return np.array([g.score(X) for g in self.gmms_]).T
> 
> def _generate_sample_from_state(self, state, random_state=None):
> return self.gmms_[state].sample(1, 
> random_state=random_state).flatten()
> 
> 
> The above code looks like self.gmms is a list, which has an attribute
> 'sample'. But when I play with a list, there is no 'sample' attribute.
> 
> ..
> a=[1, 32.0, 4]
> 
> a
> Out[68]: [1, 32.0, 4]
> 
> type(a)
> Out[69]: list
> 
> a[0].sample(1,5)
> ---
> AttributeErrorTraceback (most recent call last)
>  in ()
> > 1 a[0].sample(1,5)
> 
> AttributeError: 'int' object has no attribute 'sample' 
> 
> a[1].sample(1,5)
> ---
> AttributeErrorTraceback (most recent call last)
>  in ()
> > 1 a[1].sample(1,5)
> 
> AttributeError: 'float' object has no attribute 'sample'
> 
> 
> What is 'sample' do you think?
> 
> Thanks,

The code can be downloaded from:
https://github.com/hmmlearn/hmmlearn/blob/master/examples/plot_hmm_sampling.py

Hope it can help to answer my question. Thanks again.
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Re: Question about a class member

[John Gordon]

In  Robert 
 writes:

> I am using a download package. When I read its code, see below please, I 
> don't know what 'sample' is:

> --
> model = hmm.GaussianHMM(n_components=4, covariance_type="full")

> model.startprob_ = startprob
> model.transmat_ = transmat
> model.means_ = means
> model.covars_ = covars

> # Generate samples
> X, Z = model.sample(50)
> -

sample() is a method in the GaussianHMM class.  (In this case, it's
a method in the _BaseHMM class, from which GaussianHMM inherits.)

-- 
John Gordon   A is for Amy, who fell down the stairs
gor...@panix.com  B is for Basil, assaulted by bears
-- Edward Gorey, "The Gashlycrumb Tinies"

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Re: Question about a class member

[Steven D'Aprano]

On Fri, 8 Jan 2016 04:23 am, Robert wrote:

> Hi,
> 
> I am using a download package. When I read its code, see below please, I
> don't know what 'sample' is:
> 
> 
> --
> model = hmm.GaussianHMM(n_components=4, covariance_type="full")


When I try running that code, I get an error:


py> model = hmm.GaussianHMM(n_components=4, covariance_type="full")
Traceback (most recent call last):
  File "", line 1, in 
NameError: name 'hmm' is not defined

What's hmm? Where does it come from? Is it this?

https://hmmlearn.github.io/hmmlearn/generated/hmmlearn.hmm.GaussianHMM.html

It has a sample method here:

https://hmmlearn.github.io/hmmlearn/generated/hmmlearn.hmm.GaussianHMM.html#hmmlearn.hmm.GaussianHMM.sample


You should try googling for help before asking questions:

https://duckduckgo.com/html/?q=hmm.GaussianHMM

or use the search engine of your choice.


-- 
Steven

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