distil | In memory dataset filtering , inspired by snikch/aggro | Widget library
kandi X-RAY | distil Summary
kandi X-RAY | distil Summary
In memory dataset filtering.
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Top functions reviewed by kandi - BETA
- validateDataType validates the given filter .
- distiller returns a distiller .
- castToDatetime casts an interface to a time . Time .
- Attempt to cast a number to a decimal .
- castToSlice casts an interface to a slice of strings .
- convert to bool
- cast to string
- NewDataset returns a new Dataset .
distil Key Features
distil Examples and Code Snippets
data := []map[string]interface{}{
{"location": "New York", "department": "Engineering", "salary": 120000, "start_date": "2016-01-23T12:00:00Z"},
{"location": "New York", "department": "Engineering", "salary": 80000, "start_date": "2016-03-23T12:00:
Community Discussions
Trending Discussions on distil
QUESTION
Why is x not initialized in the following ?
...ANSWER
Answered 2021-Jun-12 at 14:04The compiler can't easily detect all branches lead to x
being initialized, but you can fix that (and the code) pretty easily by assigning -1
to x
to begin with. Something like
QUESTION
I wrote a custom loss function that add the regularization loss to the total loss, I added L2 regularizer to kernels only, but when I called model.fit() a warning appeared which states that the gradients does not exist for those biases, and biases are not updated, also if I remove a regularizer from a kernel of one of the layers, the gradient for that kernel also does not exist.
I tried to add bias regularizer to each layer and everything worked correctly, but I don't want to regularize the biases, so what should I do?
Here is my loss function:
...ANSWER
Answered 2021-Jun-10 at 11:35In keras, loss function should return the loss value without regularization losses. The regularization losses will be added automatically by setting kernel_regularizer or bias_regularizer in each of the keras layers.
In other words, when you write your custom loss function, you don't have to care about regularization losses.
Edit: the reason why you got the warning messages that gradients don't exist is because of the usage of numpy()
in your loss function. numpy()
will stop any gradient propagation.
The warning messages disappeared after you added regularizers to the layers do not imply that the gradients were then computed correctly. It would only include the gradients from the regularizers but not from the data. numpy()
should be removed in the loss function in order to get the correct gradients.
One of the solutions is to keep everything in tensors and use tf.math library. e.g. use tf.pow
to replace np.float_power
and tf.reduce_sum
to replace np.sum
QUESTION
I'm trying to create a variadic templated container that will contain items that have a reference back to the container. Unfortunately I can't quite figure out how to declare the container. It's a bit of a chicken and egg problem. The Items are templated on the Container, but the Container is also templated on the Items.
I've tried to distill down the relevant code below. It complains that "CollectionA" isn't declared.
How can I make this work?
...ANSWER
Answered 2021-Jun-09 at 23:35This should do the job.
QUESTION
I am trying to generate a visual studio 2019 C++ project from the tesseract 4.1.1 source code. Ultimately, I want to include a tesseract C++ project in my custom solution that consumes OCR results.
When I follow these steps:
- Download and extract tesseract code https://github.com/tesseract-ocr/tesseract/archive/refs/tags/4.1.1.zip to "C:\tesseract" directory.
- Execute the following commands in a Developer Command Prompt for VS 2019:
C:\Windows\System32>cd "C:\tesseract"
C:\tesseract>mkdir build
C:\tesseract>cd build
C:\tesseract\build>cmake ..
I receive this error:
...ANSWER
Answered 2021-Jun-05 at 07:13There are several tutorial how to build tesseract on windows with cmake and VS e.g. https://bucket401.blogspot.com/2021/03/building-tesserocr-on-ms-windows-64bit.html (you can ignore end of tutorial - python module), minimalist tesseract or with clang
QUESTION
We frequently use RMarkdown based packages to create websites with R (bookdown
, blogdown
, distill
...) and use github-pages to serve the html files via the url username.github.io/repo
.
In this approach, the ouput (i.e. html / css) files are also version controlled, and are frequently included in commits by mistake (git commit -a
). This is annoying since these files clutter the commit and often lead to fictitious files conflicts.
Ideally, the outputfiles would not be version controlled at all, since the binary files (images) additionally bloat the repo. So I'm looking for a solution where:
- Git ignores the output files completely but provides an alternative (but comparable1) method to gh-pages to serve them
- Git ignores the output files temporally and committing / pushing them to gh-pages is done in a separate, explicit command
1: The method should be command line based and provide a nice URL to access the website
...ANSWER
Answered 2021-May-25 at 14:11You could have .html
, .css
etc. ignored in the main
and all other branches but the branch, for example, the gh-page
branch, where your github-page is built from.
Git does not support different .ignore
files in different branches so you would have to set up a bash script that replaces the ignore file each time you checkout a new branch. See here for how to do that: https://gist.github.com/wizioo/c89847c7894ede628071
Maybe not the elegant solution you were hoping for but it should work.
QUESTION
I am testing Bert base and Bert distilled model in Huggingface with 4 scenarios of speeds, batch_size = 1:
...ANSWER
Answered 2021-May-26 at 20:38No, you can speed it up.
First, why are you testing it with batch size 1?
Both tokenizer
and model
accept batched inputs. Basically, you can pass a 2D array/list that contains a single sample at each row. See the documentation for tokenizer: https://huggingface.co/transformers/main_classes/tokenizer.html#transformers.PreTrainedTokenizer.__call__ The same applies for the models.
Also, your for loop is sequential even if you use batch size larger than 1. You can create a test data and then use Trainer
class with trainer.predict()
Also see this discussion of mine at the HF forums: https://discuss.huggingface.co/t/urgent-trainer-predict-and-model-generate-creates-totally-different-predictions/3426
QUESTION
This question is the distilled solution of what others have helped me solved. The discussion can be found on this issue and this r/xmonad post.
I'm using Artix mainly with Pacman as a package manager. Today, after about a week, I've upgraded many packages and it ended up breaking XMonad.
This is the message I get from xmonad --recompile -v
:
ANSWER
Answered 2021-May-26 at 17:50I've finally made it work. The guys from the XMonad repo really helped, you can check out their help in this issue.
Roughly, what I did was:
- Delete everything Haskell-related from my system.
- Do this one carefully, use a lot of
find
s with the words haskell, stack, ghc, cabal, etc. Don't forget to usepacman -Rns
andpacman -Q
to uninstall everything that come from there first. - As some other users mentioned, you should absolutely not manage Haskell packages with both Pacman/AUR and Stack/Cabal. Choose one system and stick to it. Stack is probably the recommended one.
- Do this one carefully, use a lot of
- Install Stack directly with the script on its documentation.
- Install GHC, XMonad, and XMonad-Contrib through Stack.
- Create a build script for compiling XMonad with Stack:
QUESTION
My application is a bit more complicated than the following, but I've distilled the problem to a simple case.
I have a textbox bound to an object's property. The binding works fine when working from inside the app.
My application runs a TCP server in another thread that receives messages from a mod I've created for a game (the game is Binding of Isaac, if that's any help). The mod sends messages to my application when the user presses a key in-game. When the server receives a message, it invokes a change in the bound property through the app's dispatcher, like so:
...ANSWER
Answered 2021-May-17 at 07:21Likely a driver problem. Try disabling hardware acceleration on startup:
QUESTION
ANSWER
Answered 2021-Apr-29 at 18:47The documentation says that the toc floats automatically. It's not working for me though (Firefox).
Explicitly setting toc_float: true
also does not help. Compared to toc_float: false
it moves the toc over to the left but it is not floating for me in Firefox.
QUESTION
I've attempted to create a pipeline for receiving RTP video/audio streams via Gstreamer using the gstreamer-rs crate, but I am not having much luck. Here is a quick distillation of my approach:
...ANSWER
Answered 2021-Apr-15 at 07:12You're not specifying to which pad of the rtpbin
you're linking your udpsrc
, so it probably selects the wrong one here (maybe the one for a sender-rtpbin
).
Try with udp_src.link_pads(Some("src"), &rtpbin, Some("recv_rtp_sink_%u"))
instead. Then you should get a pad-added
with a "recv_rtp_src_%u_%u_%u"
name. The first number will be 0, the other two will be payload type and the ssrc.
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