ChanServ changed the topic of #mlpack to: "mlpack: a fast, flexible machine learning library :: We don't always respond instantly, but we will respond; please be patient :: Logs at http://www.mlpack.org/irc/
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< dan>
Hi everyone. I'm not being able to 'pip install mlpack3', both on Windows and Linux systems with Python 3.6. Any ideas why?
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< zoq>
dan: Hello, any error message?´
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< dan_>
zoq: "Collecting mlpack3 Could not find a version that satisfies the requirement mlpack3 (from versions: ) No matching distribution found for mlpack3"
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< zoq>
dan_: I think your pip is up to date?
< dan__>
zoq: (I guess my nickname changed automatically) Yes, latest version
< zoq>
dan__: hm, perhaps it works with python2.7? I guess rcurtin can probably point us in the right direction.
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< rcurtin>
dan__: so, I know that it won't work on Windows; I was only able to package mlpack3 for "manylinux" systems
< rcurtin>
also, it's only available for 2.7, 3.4, 3.5, and 3.6 (but you said you were using 3.6)
< rcurtin>
if you wanted it for Windows, I think you'd have to build by hand, unfortunately
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< dan__>
rcurtin: I am gonna try it on my Ubuntu 18.04 LTS installation in a few minutes and report back. I did a test on a system that's not mine and that was running Manjaro, I think
< davida>
dan__: Just to let you know that I recently compiled a fresh pull of MLPACK and compiled it on an Ubuntu shell running on Windows 10 and had no problems. Let me know if you have an issue.
< davida>
I'll try my best to help
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< dan>
rcurtin, davida, zoq: So, I successfully installed it on my Ubuntu 18.04 LTS. Checked with my colleague and his running Manjaro but with Python 3.7 - which explains why it failed. Thanks!
< dan>
Another question: I don't seem to be able to pass a Numpy array to the hmm_train (in the Python bindings), while this is possible in other classifiers. Is this expected?
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< rcurtin>
dan: yeah, unfortunately the hmm_train binding is a little bit different, because in the original C++ it takes a vector of training sequences
< rcurtin>
it's an issue I'd like to fix at some point, but it is not fixed at the current time
< ShikharJ>
rcurtin: Can I ask for some good literature recommendations for Multivariate Calculus?
< ShikharJ>
rcurtin: And some for theoretical probability as well?
< rcurtin>
I don't know if I have any good recommendations for either of those other than what you might find with a search; I think I recommended "The Matrix Cookbook" at some point but that's all I can think of
< ShikharJ>
rcurtin: Yeah, the Matrix Cookbook is a good resource for Linear Algebra, but it has only the formulae. I was reading Hoffman and Kunze's book for a group theoretic explanation of Linear Algebra. Hence wanted some recommendations for the rest of the fields.
< rcurtin>
ah, sorry... well I don't think I have a good reference off the top of my head :(
< rcurtin>
I did not like the book I learned calculus out of very much
< rcurtin>
(also, most of the linear algebra / calculus learning I did on-the-fly as I read papers, not specifically as part of a class---a lot of what I learned and took classes for in undergrad ended up not being relevant to what I do now, or I just plain forgot it before I needed it)
< ShikharJ>
rcurtin: Haha, same with me. It felt like a lot of *magic* was happening behind the explanations when Calculus or Linear Algebra was taught in my first year undergrad courses, that I wasn't able to catch. Most introductory books offer only an engineer's insight I feel.
< rcurtin>
Definitely true, since there is so much material to cover so far
< rcurtin>
*so fast
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< travis-ci>
mlpack/mlpack#5612 (master - b7018f5 : Ryan Curtin): The build has errored.