olavolav

Is agile the right approach for cross-functional teams of AI researchers and software developers? Here's what I learned from 10 years of leading such teams

Very cool library!

As alternatives I might recommend hipsterplot (the name) or uniplot (very similar but lighter, I'm the author).

That's right, I'm using the 2x2 characters and some off-center horizontal line characters.

Note aware of Unicode expansions, though more and more fonts seem to support the above.

Sparklines in the terminal sounds very cool, did you end up coding something?

Note that one other popular alternative (see for example the Unicode plotting lib for Julia) is using Braille characters, which probably have an even better support across fonts

Thanks for the question! So the labels only depend on the limits of the plotting window, which you can supply as a keyword option. In that sense, and together with using the same gridlines options, you could have the same background in some sense.

What uniplot cannot do today is to have multiple vertical axis (like weight and head circumference in your example).

Hope this helps!

P.S.: Regarding your PDF question, for that in fact I think that some plotting library to graphics (rather than the terminal) might be better

Thanks! Do let me know if you are still looking for any particular feature

Very cool to see this – but will only be successful with great terminal plotting tools. The ones the author mentions like the matplotlib interface clearly won't do[0] due to lack of resolution

A perfect use case for unicode plotting [1] (shameless plug)

[0] https://github.com/domitry/matascii

[1] https://github.com/olavolav/uniplot

Author here: Version 0.4 added nice axis labels via an extended Wilkinson algorithm.

For comparison:

- gnuplot to the terminal https://www.datafix.com.au/BASHing/2019-06-21.html

- UnicodePlots for Julia https://docs.juliaplots.org/latest/examples/unicodeplots/

Speaking as a pytorch user, many of the steps in your Readme example remind me of the usual setup except the pipeline.run() handoff which is replaced by eager evaluation in pytorch.

Are you seeing something like an eager mode for your library, or perhaps a pytorch plugin that might use your apis?

Thanks!

Hi, author here. This was & is a fun project, and maybe it's useful to some of you!

Let me know if you have questions/comments/ideas, or check out the ASCII video: https://asciinema.org/a/Ldgn5pHOgxPJmIf2ZvlfIPR3L

I'm guessing that's because they measured the return rate of institutions:

"Wallets were returned to one of five societal institu- tions: (i) banks, (ii) theaters, museums, or other cultural establishments, (iii) post offices, (iv) hotels, and (v) police stations, courts of law, or other public offices."

Whatever test you do, you would need to know the total number of visitors in each group, right?

And unless I missed it the article doesn't state those numbers.

Intuitively, the numbers you quoted would be more significant the bigger the test and control groups are.

Should any of you care for a more philosophical treatment of the idea of "cause", then I can wholeheartedly recommend:

Bertrand Russel, On The Notion Of Cause

Proceedings of the Aristotelian Society

New Series, Vol. 13 (1912 - 1913), pp. 1-26

It's also surprisingly funny.

https://www.jstor.org/stable/4543833

Well, I think the OP should give you the idea that if your goal is (for example) to reduce violent crime rates overall, then the answer might be more complicated than that...

Dear HN audience. For almost all of the topics discussed here, if you haven't already, please go read this book:

Michel Foucault, Discipline and Punish: The Birth of the Prison [1]

The seminal book on questions like: Where do prisons come from? Why did anyone ever think that they were a good idea? Do they work?

Highly recommended

[1] https://en.wikipedia.org/wiki/Discipline_and_Punish

The actual article may be less garbage than the headline of the news post suggests:

Our model controlled for experiences with other classes of psychoactive substances (cannabis, dissociatives, empathogens, popular legal drugs) as well as common personality traits that usually predict drug consumption and/or nature relatedness (openness to experience, conscientiousness, conservatism).

(that's from the abstract)

Of course we won't know for sure – all praise the paywalls of science!

That, great news, I'm especially curious about this line here:

[ExUnit] Show code snippet from test source file in case of test errors

ExUnit backtraces have historically been a bit hard to read sometimes IMHO.

So amwesome! :-) Nostalgia + sillyness. Made my morning

Regarding that last bit: You will clearly get better results by using A/B tests than by having humans take a guess as to what works best – but as you already pointed out, those are not the only two possibilities. Different varieties of mutli-armed/contextual/etc. bandits, and then the new wave of reinforcement learning tricks (i.e. AI) are much better suited to the problem.

(Full disclosure: I didn't write the article, but I am the CTO of the company that the article is about.)

I would argue that A/B testing is close to it's end for 99% of it's current business applications. Right now there is a very limitied range of AI products that aim to replace A/B testing, but that will change soon enough.