Hi!
I am working on my application and i was thinking of ways to extend the
support of multivariate distributions. For example:
1. Add more matrices support.
a. Use matrices modules to perform some basic operations for the
multivariate rv's, for example we could use the eigen module to perform
Principal Component Analysis and Factor Analysis.
b. Add functions to calculate covariance and correlation
matrices.
c. Support symbolic expressions of density function that
implement the covariance matrix.
2. Add sampling for multivariate distribution by using and
extending upon the numpy libraries.
Does this sound good?
I also noticed that in the joint_rv_types for some classes there are
corresponding functions that return a JointRandomSymbol object with a call
to the multivariate_rv function buts that's not the case for other classes.
Is there a reason for it or it is something that has not yet been
implemented?
Thank you in advance!
Τη Τρίτη, 17 Μαρτίου 2020 - 8:31:07 π.μ. UTC+2, ο χρήστης Gagandeep Singh
(B17CS021) έγραψε:
>
> Hi,
>
> As far as I know, the "Probability" project is available for GSoC, 2020.
> Please let me know of any questions regarding GSoC projects related to
> `stats` module.
>
> Best wishes.
>
> On Tue, Mar 17, 2020 at 1:06 AM Basilis Kalos <[email protected]
> <javascript:>> wrote:
>
>> Hi all
>>
>>
>> The first project that i’m most interested to work on is the “Optimize
>> floating point expressions”. I am familiar with Herbie and I have started
>> reading its source code with the purpose of adapting ideas and even code
>> (after re-writing it in python). How does that sound?
>>
>>
>> I also would be really excited to work on the “Probability” project.
>> Are any of those project ideas available? Should i look for projects that
>> no-one else is working on?
>>
>>
>> Thank you!
>>
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>> .
>>
>
>
> --
> With regards,
> Gagandeep Singh
> Github - https://github.com/czgdp1807/
> Linkedin - https://www.linkedin.com/in/czgdp1807/
> <https://www.linkedin.com/in/gdp1/>
>
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