dataHaskell/Lobby

Sam Stites

@stites

I think we need to get more webdevs involved in the community for that.

I'm also of the opinion that we are still trying to play catch-up with computer-vision-2012

(but maybe the data visualization story is a bit different)

Tim Pierson

@o1lo01ol1o

axiom was going to be my goto for model visualizations like that.

Austin Huang

@austinvhuang

@stites in what sense? ... the entire machine learning field is catching up to where CV-machine-learning was in 2012 in some ways when it comes to high-dimensional models.

Sam Stites

@stites

touche. I was thinking in the sense that we don't have an end-to-end example of LeNet -- even though I think that's from the 90s

Austin Huang

@austinvhuang

axiom looks cool, but i suspect general-purpose webdev is lower level than it needs to be. i think something should exist that's at least comparable to r/shiny level abstraction (dashdo seems to be one promising option but doesn't have to be the only direction in that design space)

@stites certainly, hopefully we can fix that ;)

Sam Stites

@stites

: P yep. I still need to carve out some time to debug

Austin Huang

@austinvhuang

we'll know haskell ML has arrived when we have a SOTA not-hotdog working

Sam Stites

@stites

@o1lo01ol1o axiom looks really cool!

@austinvhuang I will be satisfied when we get https://arxiv.org/abs/1806.04510v1 working

Jonathan Fischoff

@jfischoff

This project looks very cool! I felt compelled to say that. :+1:

err

the HaskTorch project that is

Sam Stites

@stites

ah! @jfischoff ! hello! I didn't realize you were a part of datahaskell!

Jonathan Fischoff

@jfischoff

I just joined after seeing the HaskTorch project ... I will need to give it a spin!

Also nice to chat with you again! :wave:

Sam Stites

@stites

Yeah, good to see you as well! there is a slack channel to hasktorch as well so that we don't exhaust the gitter

If you DM me your email I can add you there

Jonathan Fischoff

@jfischoff

I will ... as soon as I figure out how to DM ... :p

Sam Stites

@stites

: D

Sam Stites

@stites

Okay, more general stuff: I've started following Manning's work on composable NN architectures and am currently working on RNTNs/RecNNs (and was a little sad to find that they are a little dated). I just watched his talk at ICLR-2018 and thought I might share: https://www.youtube.com/watch?v=jpNLp9SnTF8&t=0s&index=2&list=WL

It's a little sad to find them hitting limitations and having to unroll their recursion with these MAC networks.

I figured this is probably the place to raise awareness of this little niche subfield of DL

MMesch

@MMesch

I like his point about not fearing structural biases ...

didn't watch further yet ;)

Marco Zocca

@ocramz

hear ye, hear ye, @gagandeepb has published the 3rd chapter of his Summer of Haskell saga: https://www.gagandeepbhatia.com/blog/deriving-vinyl-representation-from-plain-haskell-records/

exploring a generic way to produce a Frame from a PostgreSQL table, via beam, vinyl and generics-sop

actually, from a beam type, my apologies. This then allows to talk to Postgres or Mysql etc.

Tim Pierson

@o1lo01ol1o

Cool!

Tim Pierson

@o1lo01ol1o

@ocramz Do you know if there's any plan to provide those generic functions as a library?

Marco Zocca

@ocramz

I hope so :) part of the purpose of SoH/GSoC is to become good open source citizens :)

Blake Conrad

@conradbm

Does anyone have a good starting place for using dataHaskell? I am interesting in trying it out, but wanted to see anyone had a recommendation before I dumped time in an arbitrary place. Thanks!

Also: the roadmap link on the homepage is dead: https://github.com/orgs/DataHaskell/projects/3

Sam Stites

@stites

Hmm... https://github.com/orgs/DataHaskell/projects/3 is live for me. Maybe the roadmap is restricted to "org-members only"

@ocramz , @NickSeagull , you might have to update the settings at https://github.com/orgs/DataHaskell/projects/3/collaboration (the two of you are cited by github as the only members that can edit this page). Alternatively, the project can be moved to a public repo

Sam Stites

@stites

@conradbm , this roadmap is a mix of surveying, advocacy, and org-level work. Is this what you are looking to do or are you wondering how to get started with an analysis and/or ML project?

Marco Zocca

@ocramz

Hi @conradbm , welcome ^^ DataHaskell is not something you can use (yet?), but a community that sometimes curates libraries, too.

as a first thing I can add you to the org

Marco Zocca

@ocramz

Morning! Is github down or just veeery slow today?

MMesch

@MMesch

it's fast here ... (at least now)

Marco Zocca

@ocramz

yep thanks @MMesch it was a glitch with my mobile connection :)

Marco Zocca

@ocramz

Question on hypothesis testing: is it ok to use the Z-test for a sample size of 1000 ?

I did it on a pair of criterion benchmarks but the score numbers look pretty crazy (17 and 57, which means close to certainty). ocramz/xeno#22

Kevin Cheung

@dataopt

I think people have used the z-test for smaller sample sizes. But of course the assumption is that the distribution is normal.

Marco Zocca

@ocramz

@dataopt thanks :) alternatively, what are more robust tests for quantities that may be otherwise distributed ? For example, program running times are obviously positive, so not Gaussian strictly. But I thought the CLT would save the day

Aleksey Khudyakov

@Shimuuar

My experiments suggest that measurements errors are dominated by systematic errors like contributions of OS scheduler, contributions of GC, so if one wants to push below 5% precision these must be taken into account

And systematics is very hard to quantify in general

Marco Zocca

@ocramz

hmmmm

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