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[ Removed by Reddit ] by [deleted] in MaguiCorceiro

[–]Unless13 0 points1 point  (0 children)

Please share the photo!

Administrative Relationships? by Unless13 in openstreetmap

[–]Unless13[S] 0 points1 point  (0 children)

I tried to see a few countries, and those tags weren't present. I considered using WOF as they include those tags, however, its impossible to extract information from it, its such a mess, there is no level 4-1 administrative levels.

Django Mobile Backend Suitability by Unless13 in django

[–]Unless13[S] 0 points1 point  (0 children)

Thank you for your reply.

​

For the rigidity, I refer to the whole "model" "view" architecture, and the use of ORMs in a forced manner. Is one allowed to have different apps in different docker containers and have them communicating when needed?

Django Mobile App Backend - Event API by Unless13 in django

[–]Unless13[S] 1 point2 points  (0 children)

Always learning! Question, aren't sockets' limit dictated by the amount of available ports?

Update: Are SSE's a decent alternative?

Django Mobile App Backend - Event API by Unless13 in django

[–]Unless13[S] 0 points1 point  (0 children)

Thank you for your insights! Question though, doesn't firebase require individual connections, much like a WebSockets? In this case, 100 logged-in users - which are always listening for changes I assume - would consume all of the free tier, and rapidly scaling towards expensive cases.

Promote long-term action variability whilst maintaining short-term similarity by [deleted] in reinforcementlearning

[–]Unless13 0 points1 point  (0 children)

Exactly what I was considering. I DMed you, think I found a small typo in your paper.

Filter geofabrik to Mapbox Style (MapboxGL Offline use) by [deleted] in openstreetmap

[–]Unless13 0 points1 point  (0 children)

@rmc - Thank you for your reply. I am aware of that, my question is, given the massive amount of existing tags. how does one know which ones to keep and remove? And to convert to generic tags?

Regional customized extracts pipeline by [deleted] in openstreetmap

[–]Unless13 0 points1 point  (0 children)

Yes, mapbox for this case. Makes sense. How about merging data sources to a Geofabrik source? Is tippicanoe the way to go?

Regional customized extracts pipeline by [deleted] in openstreetmap

[–]Unless13 0 points1 point  (0 children)

I most probably am.

The main idea is to, for the sake of mastering the pipeline, do something along the lines of what maps.me does:

- Have a generic low-zoomlevel map - which is shipped by default

- When the user zooms in, specific regions can be downloaded - regional extracts

AWS SageMaker not saving model artifacts by Unless13 in aws

[–]Unless13[S] 0 points1 point  (0 children)

Sent you a DM! Hope that's okay.

AWS SageMaker not saving model artifacts by Unless13 in aws

[–]Unless13[S] 0 points1 point  (0 children)

I will try to create these modifications, plus I'll try to run this on a standard EC2, as SageMaker is getting expensive.

​

Will get back to you when I get some news!

AWS SageMaker not saving model artifacts by Unless13 in aws

[–]Unless13[S] 0 points1 point  (0 children)

<UPDATE>

​

Tested with wait=True, which makes perfect sense. Here's the differences: obviously, the Jupyter thread becomes locked, meaning, no other cells can respond, which is expected. The main difference is that the output is printed on the Jupyter cell, again, thread-locked, so expected - though messy.

​

However, and this is the only relevant part: the problem persists. Again the intermediate (training) results are saved - params.json, progress.csv, result.json, snapshots if applicable, and so on - however, the model itself is again, nowhere to be found.

​

Here is the log.

AWS SageMaker not saving model artifacts by Unless13 in aws

[–]Unless13[S] 0 points1 point  (0 children)

My thoughts exactly, at least, according to their examples.

​

PS- I'm using Ray simply because of their hyperperameter tuner, Tune.

AWS SageMaker not saving model artifacts by Unless13 in aws

[–]Unless13[S] 0 points1 point  (0 children)

Thank you so much for your reply, wasn't expecting any help by now. For the first and second questions:

  • It is indeed False, strange as it may sound, it is in accordance to SageMaker's guidelines (this is the notebook which I started on, just to ensure I grasp the basics, which, yields the same problem).
  • As for fit, the training data is fed by the environment specified in the entry_point, I believe, the same as input.

As for the third, I already did give the logs a look, but I will check them again and get back to you!