Watson Machine Learning API Client
Project description
Welcome to watson-machine-learning-client
watson-machine-learning-client
is a library that allows to work with Watson Machine Learning service on IBM Cloud.
Train, test and deploy your models as APIs for application development, share with colleagues using this python library.
Package Sphinx documentation
NOTE:
DEPRECATED!!
This Watson Machine Learning client version is deprecated starting Sep 1st, 2020
and will be
discontinued at the end of the migration period. Refer to the documentation at https://dataplatform.cloud.ibm.com/docs/content/wsj/analyze-data/wml-ai.html
for the migration process to be able to access new features
This package is being replaced in favor of new package "ibm-watson-machine-learning" in V4 released version of WML python client.
==========================================
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
Built Distribution
File details
Details for the file watson_machine_learning_client-1.0.391.tar.gz
.
File metadata
- Download URL: watson_machine_learning_client-1.0.391.tar.gz
- Upload date:
- Size: 204.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.6.10
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 13237d43f93d0ea85d5f65816a1650ea43815d082145a1cd63e3dabb3d7f182a |
|
MD5 | 010f76278bec3584e4c7fc4bd2213a00 |
|
BLAKE2b-256 | f55d6ca8e9900e87d6f6c29887e025f842c71b7461dd024b679577270638d632 |
File details
Details for the file watson_machine_learning_client-1.0.391-py3-none-any.whl
.
File metadata
- Download URL: watson_machine_learning_client-1.0.391-py3-none-any.whl
- Upload date:
- Size: 538.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.6.10
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8176b4fac556b285fa1dc62e5ee0a1de5c9d4f17bb7b6c3cb88a333b89043b09 |
|
MD5 | 2b04081e91e1142c5e5ab9f855e361b3 |
|
BLAKE2b-256 | dfecf2e7a189b2485e2e0bae65ee317c60347889f44c246de0b0acb451ae1a68 |