regression-js

Curve Fitting in JavaScript. (by Tom-Alexander)

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regression-js reviews and mentions

Posts with mentions or reviews of regression-js. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-09.
  • Data Science with JavaScript: What we've learned so far?
    7 projects | news.ycombinator.com | 9 Sep 2021
  • Hal9: Data Science with JavaScript
    4 projects | /r/datascience | 9 Sep 2021
    Modeling: We are currently exploring this space so our findings are not final yet but let me share what we've found so far. TensorFlow.js is absolutely amazing, it provides a native port from TensorFlow to JavaScript with CPU, WebGL, WebAssembly and NodeJS backends. We were able to write an LSTM to do time series prediction, so far so good. However, we started hitting issues when we started to do simpler models, like a linear regression. We tried Regression.js but we found it falls short, so we wrote our own script to handle single-variable regressions using TF.js and gradient decent. It actually worked quite well but exposed a flaw in this approach; basically, there is a lot of work to be done to bring many models into the web. We also found out Arquero.js does not play nicely with TF.js since well, Arquero.js does not support tensors; so we went on to explore Danfo.js, which integrates great with TF.js but we found out it's hard to scale it's transformations to +1M rows and found other rough edges. Since then, well, we started exploring Pyodide and perhaps contributing to Danfo.js, or perhaps involve more server-side compute, but that will be a story for another time.

Stats

Basic regression-js repo stats
2
943
0.0
over 2 years ago

Tom-Alexander/regression-js is an open source project licensed under MIT License which is an OSI approved license.

The primary programming language of regression-js is JavaScript.


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