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ogrisel/parallel_ml_tutorial resource

Tutorial on scikit-learn and IPython for parallel machine learning observed · 2026-08-28

github.com/ogrisel/parallel_ml_tutorial · Jupyter Notebook observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 4983
  • days_rel: n/a
  • days_push: 3620
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1589 stars · 584 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Jupyter notebook tutorial on parallel machine learning with scikit-learn and IPython, covering scalable feature extraction, parallel cross-validation, and grid search on an IPython cluster. It includes a PyCon 2013 video recording and materials for running clusters on Amazon EC2 spot instances with StarCluster.

Use cases

  • learn parallel machine learning with scikit-learn
  • run cross validation and grid search in parallel with IPython
  • scale text classification feature extraction
  • set up an IPython cluster on Amazon EC2
  • optimize memory usage with numpy memory mapping
  • understand common predictive modeling errors

When to choose

  • learning scikit-learn parallelism concepts from a guided tutorial
  • following along with the PyCon 2013 video course
  • studying historical IPython cluster and StarCluster workflows

When to avoid

  • you need up-to-date tooling (uses IPython 2.x and scikit-learn 0.15)
  • you want modern distributed ML (use dask, ray, or joblib instead)
  • you need maintained or licensed material (no license, last release 2016)

Facets

learning-resource · maturity abandoned

machine-learning data-science benchmarking machine-learning tutorials data-science python cross-platform scikit-learn ipython jupyter-notebook parallel-computing distributed-computing text-classification hyperparameter-tuning ec2 starcluster

1 source

Member repositories

RepositoryRoleHealth v2
ogrisel/parallel_ml_tutorialmain32

For agents

markdown · JSON · MCP: product_card(name="ogrisel/parallel_ml_tutorial")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem