Skip to main content

Run many `adaptive.Learner`s on many cores (>10k) using `mpi4py.futures`, `ipyparallel`, `dask-mpi`, or `process-pool`.

Project description

The author of this package has not provided a project description

Project details


Release history Release notifications | RSS feed

This version

2.4.0

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

adaptive_scheduler-2.4.0.tar.gz (81.0 kB view details)

Uploaded Source

Built Distribution

adaptive_scheduler-2.4.0-py3-none-any.whl (69.8 kB view details)

Uploaded Python 3

File details

Details for the file adaptive_scheduler-2.4.0.tar.gz.

File metadata

  • Download URL: adaptive_scheduler-2.4.0.tar.gz
  • Upload date:
  • Size: 81.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.2

File hashes

Hashes for adaptive_scheduler-2.4.0.tar.gz
Algorithm Hash digest
SHA256 33216a263e3878695fd02c8df3a6f73fa780a2835e0a9bf30a8c899ea7db90e9
MD5 061b916658aa8efb33885bc92ec2e49b
BLAKE2b-256 3cd21e986e03475c75a205527be6b7d571ee71033665c765dc639241e3834aea

See more details on using hashes here.

File details

Details for the file adaptive_scheduler-2.4.0-py3-none-any.whl.

File metadata

File hashes

Hashes for adaptive_scheduler-2.4.0-py3-none-any.whl
Algorithm Hash digest
SHA256 c8db9988d1410343a08c1180aec1b8fac3d5c7cac857ef2f9b7fb227916ee8da
MD5 1117bd7d9fc3718e983e52b67946c217
BLAKE2b-256 fa694e2fe0c9b413358d54655b13816cca9c49eeeba8316d3e606b4e95d7eed7

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page