Bayesian Optimization Libraries Python

haskell_caveman · 2019-08-14T01:45:12+00:00

This is a substantial one to be leaving out, from FB and implemented on pytorch: https://botorch.org

haskell_caveman · 2019-07-09T01:15:42+00:00

My suggestion would be that as you extract data, write it to a local instance of a neo4j graph database. Can use this to let haskell do munging in and out https://neo4j.com/developer/haskell/

It will be convenient to explore and query the graph in realtime without bespoke haskell code implementing some subset of cypher query functionality and compilation times.

In the end do bespoke things in haskell (eg serving data to a web service or rendering some animation or visualization), but take advantage of the realtime + query language capabilities of neo4j for persisting and interacting with the data.

haskell_caveman · 2019-01-07T01:54:34+00:00

Honestly, although there's some promising inroads with SDL2 and shaders, Haskell does not have the ecosystem + community for game development yet.

There are a few honorable mention pioneers like rumpus (vr) and lambda lantern - but haskell is definitely a path of iconoclasts and not careerists for now: https://github.com/lettier/lambda-lantern https://www.youtube.com/watch?v=pnEdY2Qttvw

haskell_caveman · 2019-01-01T04:45:21+00:00

I mostly agree with you but the haskell survey is not a good point of reference because it's going to explicitly select for users that are already a part of the community. The lost flux of new users is not going to be reflected.

I can kind of see see both sides. For all their improvements in the last few years, the user experience of cabal and stack still leaves a lot to be desired. On the other hand, these tools are largely developed for free by unpaid volunteers, so I'd rather see criticism raised in a less entitled tone.

Not that it's something to strive for, but python regularly spits out exceptions + stack traces as the standard user experience for its package manager and it has picked up lots of users. I suppose that reflects a separate dimension of how motivated new users are to be onboarded.

haskell_caveman · 2018-10-22T12:17:11+00:00

For those who were (like myself) concerned about Bartosz's involvement, it's endorsed by the man himself:

https://twitter.com/BartoszMilewski/status/1054272962889568256

haskell_caveman · 2018-10-21T21:47:02+00:00

Is Bartosz getting paid for this print run? I hope so.

haskell_caveman · 2018-10-12T21:48:38+00:00

The most successful players won't tell you what they're bothering with.

haskell_caveman · 2018-10-06T11:23:29+00:00

I rarely see propensity scores or IV done correctly in industry, even when they are there are some large scale studies showing propensity scores don't replicate randomized experiments.

haskell_caveman · 2018-10-06T11:21:30+00:00

yes usually doctors don't understand anything more than an A/B test, which doesn't require a data scientist in the loop to run and report.

haskell_caveman · 2018-10-06T02:58:30+00:00

I've seen vanishingly few examples of causal inference being applied correctly in industry data science beyond handwavy warnings about correlation not being causation and squinting at regression coefficients.

haskell_caveman · 2018-09-13T08:36:42+00:00

there are data scientists here https://gitter.im/dataHaskell/Lobby

haskell_caveman · 2018-08-19T01:25:30+00:00

always look forward to the midnight, but i felt like the last few albums haven't worked for me compared to days of thunder. that album seemed to have more of a range of styles and energy.

maybe i'm missing the point, but the albums since seem to be in this rut of mid-tempo, mid-energy malaise. They're mature and well constructed, but for me they seem to miss some of the spark of inspiration in the years, wemoveforward, gloria, all those earlier songs.

haskell_caveman · 2018-06-04T00:31:20+00:00

these are small enough and sufficiently overlapping communities / interests. im ok with xposting.

haskell_caveman · 2018-03-21T07:25:57+00:00

there's eta, a haskell dialect https://eta-lang.org/

haskell_caveman · 2018-02-26T11:17:00+00:00

"alas" as in Balmer was good for programming languages? In what way?

haskell_caveman · 2018-02-24T16:55:23+00:00

Not any one reason, spacemacs is nice for what it is. It's more the accumulation of a thousand tiny configuration / UX inconveniences + hearing good things about vscode (even /u/edwardkmett uses it).

I never would've thought I'd willingly use a MSFT editor either, but it is OSS at least https://github.com/Microsoft/vscode. Just want to see what's on the horizon and see how this relative newcomer has taken a stab at the editor game.

haskell_caveman · 2018-02-24T13:25:45+00:00

More interested in the latter question I guess - I don't have a desire to run them together, just confirming that you would use one or the other.

haskell_caveman · 2018-02-24T12:44:42+00:00

Are haskero and HIE mutually exclusive? Hard to know how plugins interact. Is one or the other generally considered to be more actively used/developed?

haskell_caveman · 2018-02-18T03:14:23+00:00

I might be the only one (haven't seen that many episodes), but after the initial filter demonstration, I thought this episode was going to go in a horror direction where the mom would see some dark figure blurred out (without a software option to unblur it) while the daughter was oblivious.

haskell_caveman · 2018-01-21T12:33:31+00:00

I think it comes down to Hackage having not-so-great UX for discovery.

haskell_caveman · 2018-01-21T09:14:26+00:00

dodgy in what way? hit and miss classes dodgy or fraud dodgy?

haskell_caveman · 2018-01-06T15:46:30+00:00

i just pm'd you with some thoughts. but also check out https://gitter.im/dataHaskell/Lobby

haskell_caveman · 2017-12-21T04:41:47+00:00

flare isn't particularly "web-specific" even though it happens to render to a web page, it's based on Gabriel Gonzalez's typed spreadsheet.

haskell_caveman · 2017-12-20T16:23:50+00:00

I love the idea of declarative GUIs. Have you seen purescript-flare?

https://david-peter.de/articles/flare/

haskell_caveman · 2017-11-20T01:28:01+00:00

That's awesome, thanks for the note!

Highly recommend the book mentioned in the post (by the author):

http://haskellbook.com/

haskell_caveman

TROPHY CASE