Skip to main content

Machine learning stuff

Project description

WBML

Build Coverage Status Latest Docs

Machine learning stuff

Note: LAB requires Python 3.6 or higher and TensorFlow 2 if TensorFlow is used.

Installation

Before installing the package, please ensure that gcc and gfortran are available. On OS X, these are both installed with brew install gcc; users of Anaconda may want to instead consider conda install gcc. On Linux, gcc is most likely already available, and gfortran can be installed with apt-get install gfortran. Then simply

pip install wbml

Project details


Download files

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

Source Distribution

wbml-0.1.3.tar.gz (21.7 kB view details)

Uploaded Source

File details

Details for the file wbml-0.1.3.tar.gz.

File metadata

  • Download URL: wbml-0.1.3.tar.gz
  • Upload date:
  • Size: 21.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.21.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.6.5

File hashes

Hashes for wbml-0.1.3.tar.gz
Algorithm Hash digest
SHA256 ffc7d6d091ab734f50bdb3c17abbb525e602b3ffe38e14d66a8708c338f3d7db
MD5 23b73ef34c4cbc92ff96302fef438381
BLAKE2b-256 7af046ab76744b8d7b57fa15e198603aa09b0d4735c67bb4465f2a226994f826

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