JuliaML / StochasticOptimization.jl

Implementations of stochastic optimization algorithms and solvers
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using Reexport? #2

Closed EricForgy closed 8 years ago

EricForgy commented 8 years ago

I am getting an error with using Learn ( https://github.com/JuliaML/Learn.jl/issues/1 ). I can trace the error back to here:

https://github.com/JuliaML/StochasticOptimization.jl/blob/master/src/StochasticOptimization.jl#L4

I can see a @reexport using LearnBase. Does there need to be a using Reexport there. If so, I can submit a PR.

If I first do a using Reexport and then using Learn everything goes through.

tbreloff commented 8 years ago

Eric: glad you're excited to give these a try, but they are not ready for publuc consumption yet. This package in particular is in a pre-pre-alpha state. No need to fix small errors. This code will be rewritten a few times I'm sure

On Saturday, September 3, 2016, Eric Forgy notifications@github.com wrote:

I am getting an error with using Learn. I can trace the error back to here:

https://github.com/JuliaML/StochasticOptimization.jl/blob/master/src/ StochasticOptimization.jl#L4

I can see a @reexport using LearnBase. Does there need to be a using Reexport there. If so, I can submit a PR.

If I first do a using Reexport and then using Learn everything goes through.

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Evizero commented 8 years ago

Maybe this should be more obvious in Learn.jl.

tbreloff commented 8 years ago

Agreed. It's a good place to put package statuses.

On Saturday, September 3, 2016, Christof Stocker notifications@github.com wrote:

Maybe this should be more obvious in Learn.jl.

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EricForgy commented 8 years ago

Hi @tbreloff

Thanks for the status update. Although there is no need to fix small errors at this point, I don't see a reason why I couldn't help even if things get overwritten :)

I don't mind if this isn't ready for public consumption. Although I'm still learning Julia, I've been doing this kind of stuff for more than 20 years (computational physics, differential geometry, algebraic topology) and can handle rough edges and happy to contribute - even develop core pieces if it makes sense :+1:

tbreloff commented 8 years ago

Hey if you're ready to get your hands dirty that's great. We're all spread a little thin and could use the help. You should probably read the past issues and discussions, including in the roadmap, and join the gitter chat. Do you have any particular area that you're interested in contributing to?

On Saturday, September 3, 2016, Eric Forgy notifications@github.com wrote:

Hi @tbreloff https://github.com/tbreloff

Thanks for the status update. Although there is no need to fix small errors at this point, I don't see a reason why I couldn't help even if things get overwritten :)

I don't mind if this isn't ready for public consumption. Although I'm still learning Julia, I've been doing this kind of stuff for more than 20 years (computational physics, differential geometry, algebraic topology) and can handle rough edges and happy to contribute - even develop core pieces if it makes sense 👍

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EricForgy commented 8 years ago

Hi @tbreloff

I joined the Gitter room for JuliaML/chat :+1:

Just this Friday, I was on a panel discussing "Artificial Intelligence in Investment Management". That is me in the middle on the couch :)

image

There were more than 100 people in attendance and the response was super. There is a lot of interest in the topic. So I am interested in application of machine learning to financial services whether it is "robo advisor" or "chat bot" etc.

I've found a number of well-written introductory articles with source code provided in Python and Lua, but nothing yet in Julia. I hope to work through some samples and convert them to Julia as an exercise.