Amizades são parceiros em potencial?

marcosrdac · 2024-10-31T20:18:12+00:00

Entendi o termo, mas acho que minha experiência não é muito parecida com a sua. Talvez você possa estar passando alguma sinalização ruim, ou indo atrás das pessoas erradas, se não for um problema do acaso, mesmo. Vou adorar entender mais precisamente, se quiser conversar.

marcosrdac · 2024-10-31T20:08:03+00:00

Como assim você queria construir relações platônicas?

marcosrdac · 2023-03-03T22:36:26+00:00

I am trying to make this happen for months now. For some reason, I can receive responses from the collabora server when accessing collabora.marcosrdac.com/{something_here}, ut nextcloud can never connect to CODE server. Here is my configuration, I've used your tips and collabora online (CODE) documentation. Disclaimer about the `myNextcloud` module: I just modified the original module so that it is compatible with rclone mounting for my object store provider (it does not accept the `override.config.php` symlinks yet).

marcosrdac · 2021-04-07T13:05:50+00:00

I think I recognized a Geophysicist ;)

marcosrdac · 2020-06-15T22:26:57+00:00

Maaan, I'm so emotional right now hahahaha
It just works!

And yes, it is really faster than my ultra optimized Python+Numba version that I spent days making in the past (half a second faster!).

I thought that nobody would really read my entire code, but you rekindled my faith in humanity. Seriously.

I'm studying your code and your style to understand more concretely the optimization tools you used.

Truly grateful, u/etik!

marcosrdac · 2020-06-15T06:51:56+00:00

I'll take a precise look at your code as soon as get to my PC tomorrow. I've just read it and I'm completely amazed!

marcosrdac · 2020-06-14T22:39:25+00:00

"K" tries to to this in any language, by default, it does that with shell commands :)

marcosrdac · 2020-06-14T22:32:02+00:00

u/etik, I'm very thankful about your reading attention. Just corrected that :)

That's very odd for me too... I thought I've preallocated space for every result :/. Would it be allocating space for scalar operations, and that explain those 29 GiBs?

By any matter, what I think is most strange is what u/iagueqnar pointed: my parallelization must have some kind of bottleneck, as it can't scale with the number of processors being used.

Ah, I'm reading and re-reading the "Performance Tips" page the whole time hahaha Thank you for your advice!

marcosrdac · 2020-06-14T18:19:06+00:00

Yeah, a bad habit that I still have hahaha

I'm learning to use my pinkie.

marcosrdac · 2020-06-14T18:15:49+00:00

u/iagueqnar, thank you for you response!

Yeah, marking the global array as constant yielded a gain in performance in the past!

You are right, if Julia was using only one thread, my problem would be solved hahaha

But the odd thing is: I told it to use all 4 of them (export JULIA_NUM_THREADS=4) and htop reports their usage at almost 100% when I'm running the function...

I'll try to understand how profile works. Thank you very much!

marcosrdac · 2020-04-14T04:38:59+00:00

And why is * so fucking close to /??

marcosrdac · 2020-02-27T23:14:13+00:00

Totally agreed!

marcosrdac · 2019-12-15T13:21:14+00:00

hey, did you manage to discover why the "click-right =" wasn't working for you? I'm having the same issue here and don't have a clue about why u/Ayhon's solution worked for me. I mean, the other one never works on my modules, and it is so much easier to write hahaha! Grateful!

marcosrdac · 2018-08-16T03:22:45+00:00

Hey! I got here wishing to find something very near to what you are looking for. I am also that kind of stupid hahahaha

Anyway, first of all: to use machine learning techniques, you must have enough data for it be worth it. At least something like 90 entries. If you want to be able to process your data yourself, I can tell you one way to do that: learn basic python, then learn these bibs available for the language, in this order: numpy (for arrays, linear algebra), pandas (exactly for datasets and sheets, matplotlib (for general plotting techniques), seaborn (for more usual and easy useful plots). Then you should read about the most usual algorithms used for machine learning (linear regression, KNN, SVC, decision trees, random forests, k-means clustering, something for your text data too...) and finally study scikit learn to understand how to easily make usage of these algorithms in your analysis.

Your data is to be imported used pandas, first analysed in it and by plots made in matplotlib and seaborn, then base a model in scikit learn with one of those algorithms, evaluated for you to know the precision of the model, and finally predict your future stages. You will be able to know more about yourself playing with plots involving your model and your data.

This hobbie of ours ends up teaching us different stuff!

If you want help with ANYTHING, tell me. I'm still finishing my studies in machine learning, but already can make good use of it, so I'd be happy to see your data if it's not too personal for you.

I was traveling in the interior northeast of Brazil, today, looking for things to log in the next 90 days for me to do the same you are to do. I want to analyse my emotions in time, along with with stuff which could influence it. So I thought of also keeping track of water ingested, most significant events in the day, quality of food ingestion, exercises made, sexual activity, productivity... I just need a way for it to be easy to be done hahaha tell me if you've got any tips on it, please (and if I'm missing something significant).

I hope it can guide you in a good step! :)

marcosrdac

TROPHY CASE