Forgive me if this comes in twice... I did not subscribe first before sending
the message below.
From: Craig Brautigam
Sent: Monday, March 4, 2024 1:33 PM
To: user@commons.apache.org
Subject: MultivariateNormalMixtureExpectationMaximization only 1 dimension
Hi
Hi,
Full disclosure, I'm not a mathematician so I can not go into the weeds into
the math. However I am tasked with porting some matlab code that is doing
gaussian mixed model to java. I really want to use apache common math if
possible. However the code that I'm porting has 1 dimension ( a
en in assuming that because you require 2
components to have a mixture model then you must have 2 columns in the
input data. However this is not true. You can fit single dimension data
with a mixture of single Gaussians.
Is this the functionality that you are expecting?
Regards,
Alex
On Mon, 4
gt; Array2DRowRealMatrix{{1.8940290549}}
>
> The numbers are close enough to indicate that the fit is valid.
>
> I think the error has been in assuming that because you require 2
> components to have a mixture model then you must have 2 columns in the
> input data. However this is not
ecause you require 2
> components to have a mixture model then you must have 2 columns in the
> input data. However this is not true. You can fit single dimension data
> with a mixture of single Gaussians.
>
> Is this the functionality that you are expecting?
>
> Regards,
>
&g
Just bumping this up...Would it be possible to get a fix for this?
Thx!
From: Craig Brautigam
Sent: Thursday, March 7, 2024 2:47 PM
To: Commons Users List
Subject: Re: [External] - Re: MultivariateNormalMixtureExpectationMaximization
only 1 dimension
Alex
t way to address an issue you care about is to
provide a PR in GitHub, with a unit test 😉
Gary
On Mon, Mar 11, 2024, 2:06 PM Craig Brautigam
wrote:
> Just bumping this up...Would it be possible to get a fix for this?
>
>
> Thx!
>
>
> ____
>
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On Mon, 11 Mar 2024 at 18:06, Craig Brautigam
wrote:
> Just bumping this up...Would it be possible to get a fix for this?
>
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On Mon, 11 Mar 2024 at 20:58, Craig
