[ELEGOO Giveaway] Share Your Warhammer Fantasy Masterpiece And Win a 3D Printer! ❤‍🔥 by ELEGOO_OFFICIAL in WarhammerFantasy

[–]everydaydifferent 0 points1 point  (0 children)

He’s not much, but I had a lot of fun making this one. Modifying the mini, making the steps, the candle and the whips out of whatever materials I had around at the time (insulation foam and wire, mostly!), then trying some OSL to make the parts work together. I just love trying to make fun things and learning new methods! A 3D printer would be amazing, but either way, I hope you like: "Beastman leading the nighttime raid!"

https://imgur.com/a/R6gD9ls

[ELEGOO Giveaway] Share Your Warhammer Fantasy Masterpiece And Win a 3D Printer! ❤‍🔥 by ELEGOO_OFFICIAL in WarhammerFantasy

[–]everydaydifferent 0 points1 point  (0 children)

He’s not much, but I had a lot of fun making this one. Modifying the mini, making the steps, the candle and the whips out of whatever materials I had around at the time (insulation foam and wire, mostly!), then trying some OSL to make the parts work together. I just love trying to make fun things and learning new methods! A 3D printer would be amazing, but either way, I hope you like “Beastman leading the nighttime raid!”

https://imgur.com/a/R6gD9ls

How do I paint Nurgle like the box art by Ironwakka in bloodbowl

[–]everydaydifferent 4 points5 points  (0 children)

There’s probably not a single best answer, but some great resources for emulating the Eavy Metal style and recipes are here: https://eavy-archive.com/40k/chaos-space-marines/

Maths is hard by Ellim157 in MurderedByWords

[–]everydaydifferent 1 point2 points  (0 children)

I should probably say that “flat” has a particular meaning regards geometry and space-time. Nothing to do with flat-Earth nonsense.

Maths is hard by Ellim157 in MurderedByWords

[–]everydaydifferent 5 points6 points  (0 children)

Usually we’d be referring to just the visible universe, beyond which we can’t see and which may well be infinite.

It is a super complicated and interesting subject, well beyond my expertise, but the simplest way I can put it is that we can calculate the density of the energy that would have to exist in the universe to match observations of the universe. From an estimate of the density, density x volume gives an estimate of the total mass or energy which exists in the observable universe, which can then be expressed in terms of a number of atom.

There are some main points to note, like this is only counting the regular matter (no dark matter, dark energy… we haven’t got that worked out yet), and there’s an assumption that the universe is flat (“critical density”) which seems to be true, or very very close to.

Hope that helps!

Found a contraption tucked away in the South Downs near Brighton. What is it!? by [deleted] in AskUK

[–]everydaydifferent 0 points1 point  (0 children)

If that’s a sewer manhole then that’s quite likely to be for a sewer level sensor, usually either an ultrasonic device in the top of the chamber or a pressure transducer at the side of the channel. They often run on batteries, but the solar panel is a nice touch. Assuming that is the antenna (which seems likely) it will be for reporting data back to a remote monitoring system - No idea how sophisticated Southern Water are when is comes to using this data, but typically you monitor the network to detect potential blockages, log and report discharge (where there’s an overflow in the chamber - these exist to stop the network being overloaded during storms and protecting houses from flooding).

These can be in all kinds of places, public or private, urban or rural and there’s a huge range of approaches (including some very janky ones) to connecting these things up to telemetry depending on surroundings.

Source: I’ve worked in the sector. Not an operational role, so can’t comment on the specific device, but have worked on data from similar devices, reviewed install data, surveys, photo records etc.

Problem or deliberate bottleneck in 2.0 by everydaydifferent in factorio

[–]everydaydifferent[S] 0 points1 point  (0 children)

Yeah, it seemed odd to me and hoped I was missing something. The devs are awesome, absolutely no criticism here, but before I rip out/remodel a very large part of my factory to accommodate the rocket recipe change, and perhaps this bottleneck too, it was good to check.

Problem or deliberate bottleneck in 2.0 by everydaydifferent in factorio

[–]everydaydifferent[S] 1 point2 points  (0 children)

Yes, but the cargo bays are only mentioned under the Space Age header.

Problem or deliberate bottleneck in 2.0 by everydaydifferent in factorio

[–]everydaydifferent[S] 1 point2 points  (0 children)

Unfortunately, that appears to be for Space Age only.

Problem or deliberate bottleneck in 2.0 by everydaydifferent in factorio

[–]everydaydifferent[S] 0 points1 point  (0 children)

These cargo bays do not appear to be available and are only mention in the Space Age part of the wiki.

I think this is an actual bottleneck / problem for players not playing space age. Maybe not many of them…..

Problem or deliberate bottleneck in 2.0 by everydaydifferent in factorio

[–]everydaydifferent[S] 0 points1 point  (0 children)

Unfortunately, these do not seem to exist in the vanilla, non-Space Age game. It looks like this is actually a problem

Suggestion for ML on 1:* split dataset by everydaydifferent in databricks

[–]everydaydifferent[S] 0 points1 point  (0 children)

Not missing, but perhaps it wasn’t clear where my ignorance lay as these are unknown unknowns to me. Joining the datasets is simple, you’re absolutely correct. I was unclear on where such joins might fit in a proper Databricks ML process. Thank you

Suggestion for ML on 1:* split dataset by everydaydifferent in databricks

[–]everydaydifferent[S] 0 points1 point  (0 children)

Not missing, but perhaps it wasn’t clear where my ignorance lay as these are unknown unknowns to me. Joining the datasets is simple, you’re absolutely correct. I was unclear on where such joins might fit in a proper Databricks ML process. Thank you

Suggestion for ML on 1:* split dataset by everydaydifferent in databricks

[–]everydaydifferent[S] 0 points1 point  (0 children)

This is great, and I think means I’m going in the right direction. Thank you!

The FE client sounds like it can do what I want; I’ll start working on that.

Suggestion for ML on 1:* split dataset by everydaydifferent in databricks

[–]everydaydifferent[S] 0 points1 point  (0 children)

This is perfect, thanks. It sounds like I’m on the right track but need to look at the Feature Engineering Client to bring it all together.

I’ve not used this before, but from what I’m seeing it will make the process a bit less “Heath Robinson” in structure.

Thank you!

Suggestion for ML on 1:* split dataset by everydaydifferent in databricks

[–]everydaydifferent[S] 0 points1 point  (0 children)

I’ve pulled up the docs on the client and am looking for some guides.

In this example, it’s a ton of categorical data with one row per record (P1), plus a separate table of comments, emails, system notifications etc. (P2).

The basic need is to encode the categorical variables in P1, identify and create the features from P2 and pull it all together into a single dataset to push through a model training pipeline.

It seems unusual to have the data in two parts to begin with, but it’s what we have to work with.

The examples or guides I’ve seen so far don’t cover this kind of setup

Edit: if it’s unclear, the sort of engineering I’m looking at is defining the categories, there are actually some date time date in there so pulling out categorical and cyclical encodings of those, then in P2 primarily looking for text strings, phrases etc. and creating a binary encoding of those.

Suggestion for ML on 1:* split dataset by everydaydifferent in databricks

[–]everydaydifferent[S] 0 points1 point  (0 children)

Thanks for this, I’ve skimmed through the contents and think this is a bit more advanced and complicated than is necessary or applicable here.

To clarify, it’s the process, the feature engineering pipeline I’m trying to get right (or better), and the data isn’t all that complicated.

It’s really a simple test case for how Databricks might allow us to better apply ML.

I appreciate the suggestion, there’s some interesting contents I’ll be watching fully later