mlpack IRC logs, 2018-04-10

Logs for the day 2018-04-10 (starts at 0:00 UTC) are shown below.

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--- Log opened Tue Apr 10 00:00:30 2018
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05:58 < travis-ci> Prabhat-IIT/mlpack#10 (SAGA - 51f3943 : Prabhat): The build has errored.
05:58 < travis-ci> Change view : https://github.com/Prabhat-IIT/mlpack/compare/f29849154ece...51f3943fa059
05:58 < travis-ci> Build details : https://travis-ci.org/Prabhat-IIT/mlpack/builds/364443523
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06:03 < manthan> rcurtin : in relation to the decision tree pruning implementation, i have figured out that if classProbabilities for leaf nodes is made to hold the count of points for each class insted of probabilities, then there will be no need to include any additional data members
06:05 < manthan> additional data members are just needed to figure the majority class of a particular non-leaf node. But if counts are stored, then this can be found by just looping over the classProbabilities of each child of the current non-leaf node.
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12:15 < travis-ci> Prabhat-IIT/mlpack#11 (SAGA - 494035e : Prabhat): The build has errored.
12:15 < travis-ci> Change view : https://github.com/Prabhat-IIT/mlpack/compare/51f3943fa059...494035efda1f
12:15 < travis-ci> Build details : https://travis-ci.org/Prabhat-IIT/mlpack/builds/364558964
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14:22 < rajiv_> This is a continuation of the discussion on 8th April in the IRC. I was able to run the tests using the command: bin/mlpack_test. But, I still get the error: use of LAPACK must be enabled. To check if I have LAPACK installed, I tried building armadillo. When I ran cmake, it said that I have LAPACK installed. I am not able to figure out the reason for this issue.
14:25 < zoq> rajiv_: Can't you use the package manager to install armadillo?
14:26 < rajiv_> I have armadillo installed already... I just tried to build it to check if I have LAPACK or not
14:37 < rajiv_> zoq_: This is the error I am getting: https://imagebin.ca/v/3xucl1iet744
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16:24 < pryan> hello
16:24 < pryan> how can i implement mlpack into a C++ code to get rid of spam of mi ircd ( im codding an ircd )
16:24 < pryan> what functions should i use ?
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16:35 -!- luffy1996 [uid281777@gateway/web/irccloud.com/x-vrgcjfiwxhoiyver] has joined #mlpack
16:41 < luffy1996> @zoq I am presently going through asynchronous methods for deep RL implementation on mlpack. If I remember correctly then you mentioned that mlpack supports implementation of A3C (Asynchronous advantage actor critic). However I do not find the sources of the file. I can see only three of the 4 variants discussed in the paper implemented . I might be wrong here but would you please give me some lead.
16:41 < pryan> hello luffy1996
16:41 < pryan> how can i implement mlpack into a C++ code to get rid of spam of mi ircd ( im codding an ircd )
16:44 < luffy1996> @zoq Also I am stuck with policy gradient application in mlpack . How should I proceed with gradient ascent in mlpack.
16:46 < luffy1996> @pryan I do not think I could help you in this. Thanks :)
16:51 < pryan> ok
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16:52 < travis-ci> Prabhat-IIT/mlpack#12 (fastmksTest - 2df6716 : Prabhat): The build has errored.
16:52 < travis-ci> Change view : https://github.com/Prabhat-IIT/mlpack/compare/8a3fd13cea1c...2df6716bdcc3
16:52 < travis-ci> Build details : https://travis-ci.org/Prabhat-IIT/mlpack/builds/364684477
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17:11 < luffy1996> \
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21:09 < zoq> rajiv_: Okay, can you tell me more about your OS (ubuntu)?
21:09 < pryan> zoq hello
21:10 < pryan> there is an example of how can i implement ML ?
21:10 < pryan> im makin my own ircd
21:10 < pryan> and want to have ML to do spam stuff
21:11 < zoq> luffy1996: hm, A3C is implemented, there is an open issue: https://github.com/mlpack/mlpack/pull/1091 which talks about an Alias layer, which is required to implement A3C.
21:17 < zoq> pryan: I think, there are multiple ideas you could test, nearest neighbor classifier, logistic regression, neural networks.
21:17 < pryan> hm
21:18 < pryan> some example of code or anything ?
21:18 < pryan> a wiki
21:18 < pryan> or some
21:19 < zoq> Unfortunately mlpack doesn't provide a word to vector method; which I think is the first step in the pipeline.
21:19 < pryan> aham
21:20 < zoq> See: http://www.mlpack.org/docs/mlpack-git/doxygen/tutorials.html and I guess another good resource are the tests, which in some cases provide simple examples that could be directly used: https://github.com/mlpack/mlpack/tree/master/src/mlpack/tests
21:20 < pryan> lot of thanks zoq
21:20 < pryan> your job are great
21:21 < zoq> pryan: Here to help, let me know if I should clarify anything.
21:21 < pryan> zoq i have read a little about ML
21:21 < pryan> i think that load from csv is out
21:22 < pryan> so probably i must write some scruppy stuff
21:22 < pryan> and again, thanks
21:24 < zoq> yeah, depending on the input some boilerplate code is necessary, but I think some standard C++ functions is all you need ... not sure.
21:24 < pryan> ok
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22:08 < travis-ci> Prabhat-IIT/mlpack#15 (newinit - cb1d2d4 : Prabhat): The build has errored.
22:08 < travis-ci> Change view : https://github.com/Prabhat-IIT/mlpack/compare/96480b97a85e...cb1d2d4b88fa
22:08 < travis-ci> Build details : https://travis-ci.org/Prabhat-IIT/mlpack/builds/364824106
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--- Log closed Wed Apr 11 00:00:31 2018