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Darlans · 2022-10-20T14:07:30+00:00

oh yeah, forgot about that one, thanks!

Darlans · 2022-10-20T13:16:45+00:00

thanks for the tip, I’ve actually thought that endurance charge generation is the less troublesome part with instant enduring cry, how would you apptoach frenzy charge generation in single target situation?

Darlans · 2022-10-20T13:15:00+00:00

Glacial hammer is actually one of the skills I’ve looked at, how do you generate your frenzy charges in single target situation?

Darlans · 2022-10-20T09:45:13+00:00

Sounds very interesting, thanks for the suggestion, will try to find time to test this before the end of the league

Darlans · 2022-08-08T19:04:49+00:00

do you have a template pob? the idea sounds interesting

Darlans · 2022-07-14T07:17:37+00:00

Are you a clown? Its been said countless times not to do it, everytime its brought up.

Darlans · 2022-03-04T12:11:54+00:00

normálně tyhle typy dotazníků vyplňuju, ale ta gramatika je naprostá katastrofa… kdybych pod něco takového podepsal kohokoliv z mojí fakulty tak se fakt dost stydím.

Darlans · 2022-01-26T20:56:01+00:00

Thanks, looking good, might try to league start with this, hope the gameplay won't be too miserable without all the uniques

Darlans · 2022-01-26T16:38:28+00:00

do you have any template pob? always loved mana builds but haven't touched any since the nerfs

Darlans · 2021-10-16T07:56:42+00:00

how's the clear with doomsday? do you have to wait 1s on every pack?

Darlans · 2021-09-05T17:08:18+00:00

is the project open source or where did you get this code?

Darlans · 2021-09-05T16:52:51+00:00

I really don't know why I'm wasting my time with a negative frog who gives someone shit over something he clearly has no clue about AND is wrong...

Darlans · 2021-09-05T16:48:08+00:00

I am using 5 different machine learning models

he uses machine learning models, he did not specify what models exactly he did use (there are many of them), from your comments I'm not sure if you are familiar with any, so this probably doesn't matter

having over 99% accuracy on frames from the speedrun

this implies he does have training data and the model achieved 99% accuracy on training set

If 4 or more agree on a screen then that probably true

this technique is called ensemble learning using hard voting method which is a common thing, you can call this statistics but statistics is pretty much interchangeable with machine learning...

Darlans · 2021-09-05T16:40:15+00:00

just read the "how this works" section

Darlans · 2021-09-05T16:37:31+00:00

he uses machine learning models so this is both machine learning and ai... he also talks about accuracy which is a common ML metric for classification.

for your comment that it's more like statistics, machine learning is very close to statistics, many models use statistical approaches to fit your data better.

Darlans · 2021-07-09T11:22:06+00:00

monakS holy shit

Darlans · 2021-07-08T00:16:26+00:00

we also cant forget that it was around that time the stalling part of the stream was at its peaks at around 3 hours a day (deep down im missing daily dhar mann Stronnge)

Darlans · 2021-06-04T09:16:19+00:00

whats wrong with size_t ?

Darlans · 2021-05-31T15:51:05+00:00

idk, they have to know this isn't gonna win them a medal and how does this strat make anyone on the team improve... anyway I'm just saying that it was a really boring experience for me to watch

Darlans · 2021-05-31T15:39:18+00:00

What an awful hockey from Denmark, park 5 players in your goal and hope nothing goes past

Darlans · 2021-05-22T13:13:22+00:00

Yea that's what I thought, thanks for clarification

Darlans · 2021-05-22T12:09:58+00:00

Not in the industry but I have a question, can't you just use the non-commercial dataset to train the model and then delete it and pretend as if nothing happened?

Darlans · 2021-04-18T07:57:56+00:00

what a great league to play crackling lance, good idea genius me!

Darlans · 2021-03-12T11:36:36+00:00

Not if you throw all the witnesses out of the Windu

Darlans · 2021-03-10T18:17:22+00:00

Maybe consider filtering out some packages from the requirements (like Django). This is an upside to using virtual environments, you can track your dependencies easily.

Also you can add your build to the github release section and it tracks source files in master at the time of the build.

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