On Friday, June 20, 2014 12:37:01 AM UTC+5:30, Ian wrote:
> On Thu, Jun 19, 2014 at 12:44 PM, wrote:
>
> > Dear Group,
>
> > Generally most of the issues are tackled here, but as I am trying to cross
> > check my understanding I found another question,
>
> >
>
> > f_curr[st] = e[st][x_i] * p
On Thu, Jun 19, 2014 at 12:44 PM, wrote:
> Dear Group,
> Generally most of the issues are tackled here, but as I am trying to cross
> check my understanding I found another question,
>
> f_curr[st] = e[st][x_i] * prev_f_sum
>
> Here, if I give one print command and see the results,
> print "$$2"
On Thursday, June 19, 2014 7:57:38 PM UTC+5:30, wrote:
> On Thursday, June 19, 2014 7:39:42 PM UTC+5:30, Ian wrote:
>
> > On Thu, Jun 19, 2014 at 3:48 AM, wrote:
>
> >
>
> > > I am trying to see this line,
>
> >
>
> > > prev_f_sum = sum(f_prev[k]*a[k][st] for k in states)
>
> >
>
> > >
>
On Thursday, June 19, 2014 7:39:42 PM UTC+5:30, Ian wrote:
> On Thu, Jun 19, 2014 at 3:48 AM, wrote:
>
> > I am trying to see this line,
>
> > prev_f_sum = sum(f_prev[k]*a[k][st] for k in states)
>
> >
>
> > a[k][st], and f_prev[k] I could take out and understood.
>
> > Now as it is doing sum(
On Thu, Jun 19, 2014 at 3:48 AM, wrote:
> I am trying to see this line,
> prev_f_sum = sum(f_prev[k]*a[k][st] for k in states)
>
> a[k][st], and f_prev[k] I could take out and understood.
> Now as it is doing sum() so it must be over a list,
> I am trying to understand the number of entities in t
On Thursday, June 19, 2014 12:30:12 PM UTC+5:30, Ian wrote:
> On Wed, Jun 18, 2014 at 11:50 PM, wrote:
>
> > Thank you for the reply. But as I checked it again I found,
>
> > f_prev[k] is giving values of f_curr[st] = e[st][x_i] * prev_f_sum
>
> > which is calculated later and again uses prev_
On Wed, Jun 18, 2014 at 11:50 PM, wrote:
> Thank you for the reply. But as I checked it again I found,
> f_prev[k] is giving values of f_curr[st] = e[st][x_i] * prev_f_sum
> which is calculated later and again uses prev_f_sum.
f_prev is the f_curr that was calculated on the previous iteration of
On Thursday, June 19, 2014 12:45:49 AM UTC+5:30, Ian wrote:
>
>
> > The questions are,
>
> > i) prev_f_sum = sum(f_prev[k]*a[k][st] for k in states)
>
> > here f_prev is called,
>
> > f_prev is assigned to f_curr ["f_prev = f_curr"]
>
> > f_curr[st] is again being calculated as, ["f_curr[st
On Wed, Jun 18, 2014 at 10:36 AM, wrote:
> The questions are,
> i) prev_f_sum = sum(f_prev[k]*a[k][st] for k in states)
> here f_prev is called,
> f_prev is assigned to f_curr ["f_prev = f_curr"]
> f_curr[st] is again being calculated as, ["f_curr[st] = e[st][x_i] *
> prev_f_sum"] which again
Dear Group,
I have a Python code taken from
Wikipedia.("http://en.wikipedia.org/wiki/Forward%E2%80%93backward_algorithm";)
The code is pasted below.
>>> states = ('Healthy', 'Fever')
>>> end_state = 'E'
>>> observations = ('normal', 'cold', 'dizzy')
>>> start_probability = {'Healthy': 0.6, 'Fe
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