ogrisel/parallel_ml_tutorial resource
Tutorial on scikit-learn and IPython for parallel machine learning 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
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
- readme: https://github.com/ogrisel/parallel_ml_tutorial · fetched 2026-08-28 · 521458c1f76c
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| ogrisel/parallel_ml_tutorial | main | 32 |
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