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Machine learning tools in JavaScript

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First of all good job with this library it is amazing I would like to suggest you one area on README.MD to use-case examples where any one can fork and...

Is typescript definitions something you plan on creating for these packages?

Hi, I was wondering that whether is this library still relevant as tensorflow.js is available now. Is there something which I can do with this library and not using tensorflow.js

Really liking this library; thanks! I'm looking to do multiple logistic regression, where my single dependent variable has a binary outcome: 0 or 1, with multiple explanatory variables (floating numbers)....

Can anyone give a decent RAM usage benchmark for something similar to this [github.com/szilard/benchm-ml](https://github.com/szilard/benchm-ml) ... particularly in relation to the **Random Forest Classifier** ?

I can't find a good implementation of iForest in JavaScript. I need it for an anomaly detection system, and perhaps you already have it in your roadmap.

* [x] Expose Regression classes * [x] Expose Matrix methods top-level instead of MatrixUtil * [x] Add random forest * [ ] Add logistic regression * [ ] Add convolution

hi @targos I have to modules I'd like to contribute `ML.UpperConfidenceBound` and `ML.ThompsonSampling`, I'd love to add them to ML if you think it's helpful to have a Reinforced Learning...

It would be nice to have an up-to-date overview of all the modules that work and are available in the ml main bundle; also if possible, with working examples (I...

It would be good to have a GitHub Wiki 😊