Skip to main content

Python library which implements Succesive Halving and Classification algorithm

Project description

Python library which implements Succesive Halving and Classification for Parallel Architecture and Hyper Parameter Search from the paper [Parallel Architecture and Hyperparameter Search via Successive Halving and Classification](https://arxiv.org/abs/1805.10255).

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pyshac-0.2.1.1-py2.py3-none-any.whl (28.6 kB view details)

Uploaded Python 2Python 3

File details

Details for the file pyshac-0.2.1.1-py2.py3-none-any.whl.

File metadata

  • Download URL: pyshac-0.2.1.1-py2.py3-none-any.whl
  • Upload date:
  • Size: 28.6 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.3.2 requests/2.19.1 setuptools/39.1.0 requests-toolbelt/0.8.0 tqdm/4.23.4 CPython/3.5.2

File hashes

Hashes for pyshac-0.2.1.1-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 f5a055bafb959edc7d8438daa17d9d81a2321090d4b86ccdca0c5d1b41bee7b2
MD5 01c1e726925b47a131dffca56ecc0505
BLAKE2b-256 2e9885aa696d8022a8d625c56bca42c63cc00e7ba5db0426bfffb8270a4851fc

See more details on using hashes here.

Supported by

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