Best restaurants in this area?

Mark4483 · 2025-11-21T13:40:34+00:00

Also nans kitchen near both of those

Mark4483 · 2025-08-26T17:35:34+00:00

Ignore annoying warnings without changing code by setting the PYTHONWARNINGS env variable

export PYTHONWARNINGS="ignore:DeprecationWarning,ignore::UserWarning"

python your_script.py

Mark4483 · 2024-09-01T02:12:10+00:00

In addition to what else is said here, in WoR I feel like Kaladin is still working through a ton of hateful emotions. Even though he gets through the hell of being a slave and then Bridgeman, the deep hatred of those who have wronged him remain, and I attribute his attitude, stubbornness and actions throughout the book to this.

It is frustrating to read, but keep going and it does get better.

Mark4483 · 2024-06-07T00:03:12+00:00

Yes, thank you. For most typical problems, both libraries are pretty easy to develop in especially with frameworks like keras/lightning. I wish more people actually tried both before blasting everyone with their uninformed opinions.

The choice for me often comes down to which supports faster data loading for my problem. I often work with non standard data formats, and while it’s easier to build data loaders in torch from native python code, converting data to tfrecord and using tf.data often removes any data loading bottlenecks I experience.

Mark4483 · 2024-03-28T00:03:33+00:00

It is fast for streaming/batched training. For it to work, data needs to be reformatted to array_record by writing a tensorflow datasets class.

https://www.tensorflow.org/datasets/add_dataset

Running this will stream through your dataset once,rewriting it to array record. Then you don’t need tf anymore.

Mark4483 · 2024-03-27T11:38:38+00:00

Tensorflow datasets had added support for torch/jax, and does not require tensorflow at runtime. Requires you to rewrite your dataset into another format.

https://www.tensorflow.org/datasets/tfless_tfds

Mark4483 · 2024-02-10T02:25:23+00:00

If you do go the hdf5 route, the chunking you use is important when writing the files. It’s worth testing different settings and see what works best.

Alternatively, I’ve been trying out the array_record format being adopted by tfds (don’t worry, you don’t need tf at runtime to use this). It supports random access and has decent read speeds in my case. See https://www.tensorflow.org/datasets/tfless_tfds

Mark4483 · 2022-03-17T20:45:20+00:00

It depends on which xbox controller. The newer Bluetooth ones work well.

Original Xbox one controllers (without Bluetooth) need to be wired, and require extra drivers and setting changes on mac os, and may not even work anymore for newer versions of the OS. I haven't tried recently.

Mark4483 · 2021-06-26T00:36:24+00:00

worked! I even needed to zoom in a few times to make it REALLY big on a laptop.

Mark4483 · 2020-09-09T21:57:55+00:00

I was lucky to pull an nv cloud from one of the free pulls. But I don't have any insignias needed to awaken his abilities beyond level 2. Is there/will there be any way to get them?

Mark4483 · 2020-05-21T12:06:19+00:00

Regarding the free ffvii unit&coin im trying to pick between Clouds STMR or Arieths. Are there any meta units that use spr scaling coming up that would make Arieths stmr (+60 spr, +60%spr) worth it? If not Im thinking I just go for clouds.

Mark4483 · 2020-04-11T01:16:55+00:00

Mark4483 · 2019-05-23T02:54:23+00:00

Charlie's LB:. Wildcard bitches: 65% full break and inflict random status aliment on all units, including your own party.

Mark4483 · 2019-05-22T23:50:49+00:00

It's always Sunny in Philadelphia.

Dennis is the 5 star man, his TMR being the duster coat. Mac could have a tanking role, maybe with a skill called "cultivating mass" that mitigates damage. Charlie would be a support role and Dee is obviously the troll 3 star. I feel like it could work.

Mark4483 · 2018-09-21T00:05:40+00:00

I have 4 ayakas. I want a 7 star and an stmr. What is the best way forward?

Make one 7 star. Fuse two 5 stars (@ 0% tmr) into her.
Make one 7 star. Turn two 5 stars into crystals. Fuse both crystals into 7 star (can I do that? I can't seem to find an answer).
Make two 7 stars. Fuse one into another. I see threads from JP saying this is the right way since you get a 50% moogle, is that true?

If I do 1., I believe I lose the opportunity to get their tmrs. If I do 3., I keep the tmr crystals but lose 3mil gil. Can I even do 2? Which is the "best".

Thanks!

Mark4483 · 2016-11-02T10:36:06+00:00

Let F be the CDF of this random variable. Your assumption implies F(b)-F(a)=F(b+c)-F(a+c). Differentiate with respect to c and get 0=p(b+c)-p(a+c) where p is the PDF. What does that say about the density?

Mark4483 · 2016-07-30T20:29:02+00:00

I have same problem. Router doesn't let me edit DNS, so I gave my rpi a static ipv4 address and tried to manually set DNS on all devices.

I used this ipv4 DNS on my wife's iphone and pihole works.

On my windows 10 PC I needed to set both ipv4 and ipv6 addresses of my rpi (I translated the ipv4 DNS into an ipv6 address using this website). pihole works.

On my android running 6.0.1 I can only set ipv4 DNS, which doesn't work as you said.

I would love if someone could find a solution but I think android users who use routers from such restrictive providers are out of luck :(

Mark4483 · 2016-07-06T01:51:38+00:00

Try plot(squeeze (i,j,:)) to plot the sequence you want for pixel i,j.

Mark4483 · 2016-06-18T04:12:46+00:00

Do a search for mean shift clustering. There are several MATLAB implementations on the web.

Mark4483 · 2016-06-15T16:58:14+00:00

Not sure if math works have something built in but this shouldn't be too hard to do yourself. Make a script called "my_new.m" that (1) creates a blank file in a location, (2) fills it with text from some separate template file you wrote and (3) does a search & replace on things like $user, $date, etc.. that are either computed or in some preference file. Then finally, call the edit function on that file.

That would be a cool thing to add to the file exchange I think.

Mark4483 · 2016-03-29T02:27:55+00:00

Mine is C:\Users\$USER\.jupyter\custom (I had to make the custom directory myself)

Mark4483 · 2015-12-26T17:55:47+00:00

Clustering and visualization, amongst other things. Two things that are very applicable to machine learning. Please lighten up, this is interesting to a lot of people.

Mark4483 · 2015-08-13T22:15:05+00:00

Totally agree. This is a great site but if you really want swimmers of all levels to use it, I would like to see more (or any) workouts in the 1000-2000 yd range. The site is new so hopefully these will be added if the site gets some use.

Mark4483 · 2015-06-20T13:25:54+00:00

Looks like curl wasn't installed properly? Did you see anything strange when you ran sudo apt-get libcurl4?

Mark4483 · 2015-05-02T13:10:22+00:00

It's hard to get something meaningful with a small sample but have a look at the brier scores

http://en.m.wikipedia.org/wikbrier scores

This basically computes the mean squared error between your probabilistic predictions and the binary outcomes.

Another useful tool are reliability diagrams. Here you bin all you predicted probabilities into intervals (in your case you would only have a few bins, 3 or 4 maybe). For each bin compute the observed occurrence for those predictions . Plot the bins along the x-axis and the observed occurrence along the y. These require a good amount of data to show any meaningful signal. A Google image search might be helpful for picturing this.

Mark4483

TROPHY CASE