verne.freenode.net changed the topic of #mlpack to: http://www.mlpack.org/ -- We don't respond instantly... but we will respond. Give it a few minutes. Or hours. -- Channel logs: http://www.mlpack.org/irc/
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< kris>
@zoq this is how i am planning to implement the gaussian initialization for weights
< kris>
if you have the time just have a look. If there are any improvements please tell me about it
< kris>
if all good i will submit a pr for it by night
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< kris2>
hi i am implemented the Gaussian initialization method. But i really cant think of any test for it.
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< zoq>
kris: Hello, about the proposed gaussian distribution class, if you only like to sample from a normal/Gaussian distribution with zero mean and unit variance you can just use: arma::randn. I think you can also add a Constructor where a user can choose a covariance function for the Gaussian distribution and use distribution::GaussianDistribution.
< zoq>
kris: To come up with a useful test is always not that simple especially for non-probabilistic functions. For now, I would test when using the gaussian initialization I can solve a simple problem in a number of iterations.
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< kris2>
zoq: Thanks i submitted the PR maybe you could look at it. I will updates the comment you made here also.
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< rcurtin>
zoq: I'm in stupid meetings all afternoon so it may be tomorrow until I can modify the logo
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< zoq>
rcurtin: Sure no problem, I don't think we have to rush here.
< zoq>
rcurtin: Btw. did you see my message about the MySQL+PHP issue?
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< rcurtin>
zoq: right! but because of the meetings, I think that will have to wait until tomorrow
< rcurtin>
but I totally agree, I can just update the code on mlpack.org. PHP is already running, so no problem there
< rcurtin>
actually if you wanted to make the changes and push to the mlpack.org repo, I can pull it down on mlpack.org
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< zoq>
rcurtin: Okay, great, no worries, just wanted to address the issue.
< zoq>
rcurtin: Yeah, sure, I do the change.
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< zoq>
rcurtin: wow, excited to look into and to work with the code.
< rcurtin>
yeah, I am very happy that I got it working---even for serializable models---but there is still a lot to work out :)