~/talk

Scientific Computing with Ruby Tegu (formerly GSA)

Talkat Lone Star Ruby Conference 2008 · 2008-09-04..09-06· [ruby, machine-learning]
links:none on file
slides:none on file

TIGU is a Ruby workbench that wires existing tools (R, Octave, GSL, RubyFan) into a plugin-driven analysis pipeline, deployable to EC2/Hadoop or Rinda clusters by November. It runs experiments as modular jobs with run/map/reduce signatures, schedules them via a learning TIGU workload manager, records runs in a transactional lab book, and publishes benchmarks on Tigu Hub. Concrete uses include Netflix-style model ensembles, genomic-scale data processing, and a traveling‑salesman demo driven from a simple directive DSL with job signature.

AI-written summary · about

  1. 0:00Start
  2. 2:07workbench for plex systems
  3. 7:27Weka
  4. 8:08Ecosystem
  5. 11:36Work Flow
  6. 12:25Ontology
  7. 19:02Plugins
  8. 19:47Lab Book
  9. 22:39Setup
  10. 26:55What's Next
  11. 36:37Resources
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