Wrappers for the framework LatentSemanticMapping on macOS

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for ronaldoussoren from gravatar.com ronaldoussoren

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT License)
  • Author: Ronald Oussoren
  • Tags PyObjC, LatentSemanticMapping
  • Requires: Python >=3.6
Classifiers

Project description

Wrappers for the framework “LatentSemanticMapping” on macOS 10.5 or later.

The Latent Semantic Mapping framework supports the classification of text and other token-based content into developer-defined categories.

These wrappers don’t include documentation, please check Apple’s documentation for information on how to use this framework and PyObjC’s documentation for general tips and tricks regarding the translation between Python and (Objective-)C frameworks.

NOTE: Apple’s documentation for this framework is very minimal at the moment, making it very hard to actually use the framework.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for ronaldoussoren from gravatar.com ronaldoussoren

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT License)
  • Author: Ronald Oussoren
  • Tags PyObjC, LatentSemanticMapping
  • Requires: Python >=3.6
Classifiers

Release history Release notifications | RSS feed

10.3.1

10.3

10.2

10.1

10.0

9.2

9.1.1

9.1

9.1b1 pre-release

9.0.1

9.0

8.5.1

8.5

8.4.1

This version

8.4

8.3

8.2

8.1

8.0

8.0b1 pre-release

7.3

7.2

7.1

7.0.1

7.0

6.2.2

6.2.1

6.2

6.1

6.0.1

6.0

5.3

5.2

5.1.2

5.1.1

5.1

5.0

5.0b1 pre-release

5.0a1 pre-release

4.2.2

4.2.1

4.2

4.1

4.0.1

4.0

4.0b1 pre-release

3.2.1

3.2.1b1 pre-release

3.2

3.1.1

3.1

3.0.4

3.0.3

3.0.1

2.5.1

2.4

2.3

2.2

2.2b2 pre-release

2.2b1 pre-release

Download files

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

Source Distribution

pyobjc-framework-LatentSemanticMapping-8.4.tar.gz (15.7 kB view details)

Uploaded Source

Built Distribution

pyobjc_framework_LatentSemanticMapping-8.4-py2.py3-none-any.whl (4.9 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file pyobjc-framework-LatentSemanticMapping-8.4.tar.gz.

File metadata

  • Download URL: pyobjc-framework-LatentSemanticMapping-8.4.tar.gz
  • Upload date:
  • Size: 15.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.9.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.8.8

File hashes

Hashes for pyobjc-framework-LatentSemanticMapping-8.4.tar.gz
Algorithm Hash digest
SHA256 226509389c9e03e176ec19c33a2a0c5df32998909e630baa1cf58dd2e84c6dba
MD5 09447be0272a26423edd0f552b9f4dc5
BLAKE2b-256 5cb0c6c85cfcdfba3328a27d74d11a2cb3d64e8001e8d61e81cf0b88521a91f2

See more details on using hashes here.

Provenance

File details

Details for the file pyobjc_framework_LatentSemanticMapping-8.4-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for pyobjc_framework_LatentSemanticMapping-8.4-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 b17bdbfda040217776d5cd665d64076a0e44c60d746a2afd30f10f0bd89a215e
MD5 737f724ad9d87f073e0ac16323e53cc1
BLAKE2b-256 8d77aaa0d768710ad3df6d2e4dff6c06a00976f20cbf981007ddbbfbf33d427f

See more details on using hashes here.

Provenance

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