fastText VS Flutter

- trained with cross-entropy, meaning that model scores can be used more effectively as a 'confidence' - e.g. for spam if you want to say something like "if prediction score > X, then filter", Naive Bayes is not ideal due to the 'naive' assumption which makes the scores very un-calibrated (it tends to give extremely high or low confidence scores for most things).

disclaimer: I haven't really thought about NLP for about 3 years so there may be something better than this now

[1] https://github.com/facebookresearch/fastText

fasttext 50

https://github.com/facebookresearch/fastText the readme may have what I need built in. But not sure. I hate ML documentation. I would love to see data input to data output examples because people expect us to understand their line of thought, and it just doesn't work out that way. This looks like what I need, but I've completely misinterpreted ML documentation many times. Ha

To use the model trained with FastText from the browser, it is necessary to load it via WebAssembly. However, you don't require a WebAssembly knowledge as you can use the fasttext.js file which has all the glue code.

Having the backend code in the plugin repo, and in python held me off. I wrote it to split vimscript/python from the command that finds the info, as it allows to use powerful tools like fasttext rather than a dictionary.

[3]: https://github.com/flutter/flutter/tree/master/packages/flut...

Thanks - that link does not appear to be open access, anyways I don't think I've seen it. I'm familiar with Flutter at a high-level (Kevin Moore gave a great talk on it at Wasm I/O), and I think other than requiring users to work in Dart, it is probably one of the most powerful ways to do cross-platform UI today.

Worth noting that their original GPU backend was Skia, and now they are retooling around Flutter GPU (Impeller)[0], which is kind of designed similarly as an abstract rendering interface over platform-specific GPU APIs.

[0]https://github.com/flutter/flutter/wiki/Flutter-GPU

If you are considering Electron/React then I would suggest adding Flutter to your list of technologies to consider. It uses Dart (a language similar to C#) and has a lot going for it… relatively quick to get up to speed with, fantastic developer experience (e.g., hot reload, great IDE support, good development tools) and very strong cross-platform support: it generates native iOS, Android, MacOS, Windows and Linux executables. Check it out: https://flutter.dev/

You can find the React Native documentation here and Flutter Documentation here.

[1]https://github.com/flutter/flutter/issues/55092#issuecomment...

> There is actually a great issue thread on the Flutter GitHub that explains exactly why other solutions do not work correctly when compared to hooks [0]

Interesting. I assume you are referring to this comment in particular -> https://github.com/flutter/flutter/issues/51752#issuecomment... ?