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meeting_00023_20210414.md

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Rust ML WG Meeting 00023

Meeting Info

Date: 20210414

Start time: 1400ET

Zoom: https://ucsb.zoom.us/j/6601852842

Agenda

  • DBSCAN chapter has been added to rust-ml book

    • Starting work on ICA next

  • Lorenz and Manuel added oxide-enzyme to the rust-ml Github repository. Highly WIP, but shows how to generate gradients with Enzyme.

    • no type-tree generation for now, but got simple f(x) = (x^2+1) + 2x working (with nested functions)
    • provide starting point for Manuel's thesis
    • Give a small showcase?

  • Linfa

    • incremental KMeans implemented (@YuhanLiin)
    • almost ready for merging merged: linfa-preprocessing by Ivano (@Sauro98)
    • Platt scaling and multi class composing model needs review
    • bump linfa = 0.4?

Participants

  • Chris
  • Manuel
  • Ricky
  • ivano
  • William
  • yuhan
  • Lorenz

Minutes

  • Meta

    • Been a few weeks
    • woo good number of people for this meeting!

  • DBSCAN chapter has been added to rust-ml book

    • 🎉
    • independent component analysis next
    • should go quicker

  • Lorenz and Manuel added oxide-enzyme to the rust-ml group

    • tried to integrate enzyme into Rust ecosystem
    • basic prototype with type signature function for a heard start for manuel's thesis
      • meets with supervisor tomorrow to announce thesis 👏
    • Screen sharing
      • and poking through the code
    • any pre or post processing optimization?
      • no not yet
      • you want all of the pre-optimizations on
        • except vectorization and unrolling
      • might want to enable post-processing optimizations on

  • Linfa

    • yuhan implemented an incremental k-means
    • ivano merged linfa-preprocessing 🎉
    • lorenz implmented platt scaling and multi-class composing model
      • needs review though
      • some examples are bad and could use some help digging into where it fails
    • probably publish next linfa once platt scaling is merged
      • blocked on the ndarray version with sparse matrix library in the trait system

  • chrism writing licnensing artice for The Gradient

    • machine learning, ethics, and open source licensing
    • teneatively accepted for publication (parts 1 & 2)
      • released over the next 2 or 3 weeks 🎉
    • bio should say rust-ml WG :D so hopefully some exposure there!

  • question on how does the new testing benchmarks for multi-thread/processing applications

    • not totally sure about this with cache misses etc, but should always take results with a grain-of-salt

Action Items