Skip to main content

IBM Watson Machine Learning API Client

Project description


Welcome to ibm-watson-machine-learning


ibm-watson-machine-learning is a library that allows to work with Watson Machine Learning service on IBM Cloud and IBM Cloud for Data. Train, test and deploy your models as APIs for application development, share with colleagues using this python library.

Package Sphinx documentation

==========================================

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

ibm_watson_machine_learning-1.0.206.tar.gz (624.9 kB view details)

Uploaded Source

Built Distribution

File details

Details for the file ibm_watson_machine_learning-1.0.206.tar.gz.

File metadata

  • Download URL: ibm_watson_machine_learning-1.0.206.tar.gz
  • Upload date:
  • Size: 624.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.7.11

File hashes

Hashes for ibm_watson_machine_learning-1.0.206.tar.gz
Algorithm Hash digest
SHA256 e17c77a021e95ca1e342a6d0b7fd39504178420f25df9fd876c345eab36ce82e
MD5 1cff2b9bd197a778ac10f1120a218a01
BLAKE2b-256 d063ab98bcc0c3cd5348e8c06f8aa3fcb4711278d262ecb502d7ec7d37014b4f

See more details on using hashes here.

File details

Details for the file ibm_watson_machine_learning-1.0.206-py3-none-any.whl.

File metadata

  • Download URL: ibm_watson_machine_learning-1.0.206-py3-none-any.whl
  • Upload date:
  • Size: 1.7 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.7.11

File hashes

Hashes for ibm_watson_machine_learning-1.0.206-py3-none-any.whl
Algorithm Hash digest
SHA256 619363eff20b2e538ae45c154f1eeef9775256861cb26b9f9868c8714a23db2c
MD5 bc2c1046d0ba552a9b08a2a855941bde
BLAKE2b-256 963733a370b30d645684ed0b42e4a32a9466eff103894a5eda7287e5a329a404

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