A collection of Learning Vector Quantization algorithms compatible with scikit-learn
Project description
sklvq - A collection of expandable Learning Vector Quantization algorithms
Documentation with install instruction and examples can be found here: https://sklvq.readthedocs.io/en/latest/
If you find any bugs or have any other suggestions on how to improve the code then please use the issue tracker on github (https://github.com/rickvanveen/sklvq/issues).
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
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file sklvq-0.1.tar.gz.
File metadata
- Download URL: sklvq-0.1.tar.gz
- Upload date:
- Size: 39.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/51.0.0 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.8.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1be3c89b8c588a8dca11b8cf6c1631d488d485d956aab2a6d1a562f2d07d8f93
|
|
| MD5 |
fff25118ac9fcc3c15a07e36c8d8ba54
|
|
| BLAKE2b-256 |
fc4d6fbae0f2659ea98c461e59ea7caecc88b7555359ad4a926a18446e63daf4
|
File details
Details for the file sklvq-0.1-py3-none-any.whl.
File metadata
- Download URL: sklvq-0.1-py3-none-any.whl
- Upload date:
- Size: 71.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.0 setuptools/51.0.0 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.8.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b4411d25ceb410ee27b0a5dd6f9d473adc3f85e969efc67152bc693830a5ec29
|
|
| MD5 |
6e864fcb9be781b77dc85c0eb3e4afd1
|
|
| BLAKE2b-256 |
77efe9b9ed96d8bf4ea5ab08927cbe5e51b1efedcf943fefc63342c6f49eeb11
|