Hi Viksit,
Viksit Gaur wrote:
Great to see the project's back on track. I started looking at this
project when Xun was still on it through the SoC, and as far as I'm
aware, his code resides in the sandbox and is only pluggable into alpha1.
I have reviewed Xun's work from this summer, at least the part that is
in his sandbox.
As Philippe suggested earlier, we ought to come up with some sort of a
plan as to how contributions can be made on this front - in terms of
features, code, designs et al.
I will be happy to get suggestions and patches from you once I get the
initial release ready.
An earlier email talked about integrating
PyICU into the chandler libraries themselves.
I am missing something now, what does PyICU have to do with all this?
Then of course is the
actual MVA code,
I have opened a new discussion in this forum for the selection
computational platform. I suggested using SciPy (or just NumPy) and as
there has not been any feedback I think that we are going to include
that into our Chandler distribution. Implementing the necessary MVA
operations is an easy task (and we can always use other complementary
libraries if necessary).
which as I understand isn't as yet automated
completely, but instead works on slashdot feeds as test data, and relies
on external programs to work.
IMO, the first step should either be to convert existing code to work
with alpha3 or 4, OR if the differences aren't too many, get the system
running without significant external dependencies and then update it.
The current implementation is so much different with the one that we are
going for that I don't see making this side track as a good way to spend
development resources.
MY CURRENT TODO LIST:
[preliminary work]
1) Learn how to use PyLucene (I am currently reading a book: Lucene in
Action).
2) Obtain a real world data set with tags (Philippe has agreed to
prepare one).
3) Implement necessary MVA operations (model building, clustering, etc).
4) Play with the empirical data to see how well the system actually
works (I am going to make a feasibility study).
5) Get tagging implemented in Chandler (I need to discuss about this
with Grant next week when he is back here in the office).
6) Select a computational platform that is capable with matrix
operations and have it included into our Chandler distribution (I will
discuss about this with Bear and Heikki next week).
[after 1-6 have been taken care of]
7) Decide the best way to implement automatic tagging functionality in
Chandler.
8) Make all the necessary changes to repository schema, GUI, etc...
There is plenty of work to do so I really hope that we get a quick start
on items 1-6.
As
for my background, my postgraduate work in Computer Science dealt with
humanoid robots, machine learning/data mining and AI, and I have a fair
understanding of the mechanisms underlying this work.
:) It seems that we have somewhat similar training so it should be easy
for us to understand each other.
Cheers,
Markku
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