What steps will reproduce the problem? 1. Running the code will reproduce the problem What is the expected output? What do you see instead? I am confused with the marginal_nodes function. I am not sure what the node and the t value is supposed to be. I have a HMM-Gaussian, a simple one. I learned parameters and for each of my gaussian value, I want to predict the state [3 hidden states].
So I produced the evidence function and then I want to estimate the marginal values, which unfortunately cannot be done with my error in calling marginal_nodes function. Please let me know what values should be given to arguments nodes and t. [i did not understand the the documents explanation]. What version of the product are you using? On what operating system? mac OS and latest version, which I downloaded from bayesnet website just today. Please provide any additional information below. Mine is a simple univariate gaussian output and discrete hidden states [3 states]. My problem is with the marginal_nodes function.
From siddarth...@gmail.com on July 11, 2011 19:33:18
What steps will reproduce the problem? 1. Running the code will reproduce the problem What is the expected output? What do you see instead? I am confused with the marginal_nodes function. I am not sure what the node and the t value is supposed to be. I have a HMM-Gaussian, a simple one. I learned parameters and for each of my gaussian value, I want to predict the state [3 hidden states].
So I produced the evidence function and then I want to estimate the marginal values, which unfortunately cannot be done with my error in calling marginal_nodes function. Please let me know what values should be given to arguments nodes and t. [i did not understand the the documents explanation]. What version of the product are you using? On what operating system? mac OS and latest version, which I downloaded from bayesnet website just today. Please provide any additional information below. Mine is a simple univariate gaussian output and discrete hidden states [3 states]. My problem is with the marginal_nodes function.
Attachment: HMM_Continous_Bnet.m
Original issue: http://code.google.com/p/bnt/issues/detail?id=14