

Hello,
l want to have 1000 configurations at the end of the process of gibbs sampling rather than one configuration. How can l do that properly
Thank you

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What function are you using?

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function gibbs(rbm::HTRBM,bp::BPTree,vis; n_times=1) v_pos = vis h_pos = sample_hid(rbm,bp,v_pos)
v_neg = sample_vis(rbm,hid) h_neg = sample_hid(rbm,bp,v_neg)
for i=1:n_times1 v_neg = sample_vis(rbm,h_neg) h_neg = sample_hid(rbm,bp,v_neg) end
return v_pos,h_pos,v_neg,h_neg end
CD : contrastive divergence function CD(rbm::HTRBM,bp::BPTree,vis; n_times=1) v_pos = vis h_pos,h_pos_cov,h_samples = get_hid(rbm,bp,v_pos)
# CD1 v_neg = sample_vis(rbm,h_samples) h_neg,h_neg_cov,h_samples = get_hid(rbm,bp,v_neg)
# CDn for i=1:n_times1 v_neg = sample_vis(rbm,h_samples) h_neg,h_neg_cov,h_samples = get_hid(rbm,v_neg) end
return v_pos,h_pos,h_pos_cov,v_neg,h_neg,h_neg_cov end
On Friday, August 19, 2016 at 4:30:50 PM UTC+2, Michael Borregaard wrote: What function are you using?
On Fri, Aug 19, 2016 at 4:23 PM, Ahmed Mazari <<a href="javascript:" target="_blank" gdfobfuscatedmailto="WiQ_o2aLEAAJ" rel="nofollow" onmousedown="this.href='javascript:';return true;" onclick="this.href='javascript:';return true;">ahmedma...@...> wrote: Hello,
l want to have 1000 configurations at the end of the process of gibbs sampling rather than one configuration. How can l do that properly
Thank you

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i have another question related to the topic. When we would like to draw a histogram for our gibbs samplaing what should be the axis of abscissa and Ordinate ? On Friday, August 19, 2016 at 4:23:24 PM UTC+2, Ahmed Mazari wrote: Hello,
l want to have 1000 configurations at the end of the process of gibbs sampling rather than one configuration. How can l do that properly
Thank you

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l want to have 1000 configurations at the end of the process of gibbs sampling rather than one configuration.
So just take 1000 samples, i.e. run `gibbs(...)` 1000 times, preferably with different input data points (`vis` parameter).
Note that the idea of contrastive divergence is to reduce number of Gibbs sampling iterations per datapoint. Normally, only 1 pass is used (i.e. CD1). i have another question related to the topic. When we would like to draw a histogram for our gibbs samplaing what should be the axis of abscissa and Ordinate ?
I think the question is what you are trying to achieve. Gibbs sampling is used to produce samples from a highly multivariate distribution, so visualizing it using histograms doesn't sound very reasonable. Can you give some context of your work and reference to a library/project you are using if it's available.
On Friday, August 19, 2016 at 5:45:57 PM UTC+3, Ahmed Mazari wrote: i have another question related to the topic. When we would like to draw a histogram for our gibbs samplaing what should be the axis of abscissa and Ordinate ? On Friday, August 19, 2016 at 4:23:24 PM UTC+2, Ahmed Mazari wrote: Hello,
l want to have 1000 configurations at the end of the process of gibbs sampling rather than one configuration. How can l do that properly
Thank you

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