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-1.0.166.tar.gz (920.8 kB view details)

Uploaded Source

Built Distribution

ibm_watson_machine_learning-1.0.166-py3-none-any.whl (1.8 MB view details)

Uploaded Python 3

File details

Details for the file ibm_watson_machine_learning-1.0.166.tar.gz.

File metadata

  • Download URL: ibm_watson_machine_learning-1.0.166.tar.gz
  • Upload date:
  • Size: 920.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.7.10

File hashes

Hashes for ibm_watson_machine_learning-1.0.166.tar.gz
Algorithm Hash digest
SHA256 9248a6106b65deab7a7bae75de187a948403d6da41beabf2079f505dabea62ad
MD5 0c8699ba9caf10efdc5a00f2d3b2b80c
BLAKE2b-256 b5a4466621ac7a6749b3ad4e620edf7e4beca35882710e0a2db6a72a20cda159

See more details on using hashes here.

File details

Details for the file ibm_watson_machine_learning-1.0.166-py3-none-any.whl.

File metadata

  • Download URL: ibm_watson_machine_learning-1.0.166-py3-none-any.whl
  • Upload date:
  • Size: 1.8 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.7.10

File hashes

Hashes for ibm_watson_machine_learning-1.0.166-py3-none-any.whl
Algorithm Hash digest
SHA256 0535fd1b05e884e7fb5b4f1eb0a4dcb20b1da07f854f23bcdfc10ebe73610023
MD5 acf91a4e9aa236556e07a10198167811
BLAKE2b-256 df27ab1e9cb79b2e59fc5f691a79005a0bd418f30701fb49f9aa40a534522be7

See more details on using hashes here.

Supported by

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