Skip to main content
Yanked

This release has been yanked by its maintainers, and will be ignored by installers, except when explicitly specified.
Consider using release 1.0.370 instead.


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 documentation

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

Metadata

Release files for ibm-watson-machine-learning 1.0.360

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for ibm-watson-machine-learning 1.0.360
File Size Uploaded Provenance Actions
ibm_watson_machine_learning-1.0.360.tar.gz 608.2 kB Without provenance Details for ibm_watson_machine_learning-1.0.360.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for ibm-watson-machine-learning 1.0.360
File Interpreter ABI Platform Actions
ibm_watson_machine_learning-1.0.360-py3-none-any.whl Python 3 none any Details for ibm_watson_machine_learning-1.0.360-py3-none-any.whl

Total release size: 1.9 MB

Release files / ibm_watson_machine_learning-1.0.360.tar.gz

Download URL ibm_watson_machine_learning-1.0.360.tar.gz
Size 608.2 kB
Tags Source
SHA-256 checksum
How to use checksums
68e33bf74ae7fdbc79aac0aae4644044aa0f898784e84ed9b5d0dd5bd62eb629
BLAKE2b-256 checksum
How to use checksums
0c9bd5312262d3bdd6059f18888359e2df5478b3ce38306a43551cd60daa8537
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.0.0 CPython/3.10.14

Release files / ibm_watson_machine_learning-1.0.360-py3-none-any.whl

Download URL ibm_watson_machine_learning-1.0.360-py3-none-any.whl
Size 1.3 MB
Tags Python 3
SHA-256 checksum
How to use checksums
06a6b318042d713b4b616efb8623469ce64d6bff6fa7aa72f594d5a051bb1148
BLAKE2b-256 checksum
How to use checksums
ae08e8ecf68770f37d979219d4fd991ff9a6c542a88ebaf6645fd56b19764bf9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.0.0 CPython/3.10.14

Security for ibm-watson-machine-learning 1.0.360

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page