An scikit-learn style implementation of Relevance Vector Machines (RVM).
Project description
Sklearn-RVM
Installation
pip install sklearn-rvmRequirements
Python (>= 3.5)
Scikit-Learn (>= 0.21)
Documentation
Refer to the documentation to modify the template for your own scikit-learn contribution.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
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
sklearn_rvm-0.0.3-py3.7.egg
(73.8 kB
view details)
File details
Details for the file sklearn_rvm-0.0.3-py3.7.egg.
File metadata
- Download URL: sklearn_rvm-0.0.3-py3.7.egg
- Upload date:
- Size: 73.8 kB
- Tags: Egg
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.7.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0ac121f29da9b3cc4152c29adcee474f4e583ce1176c3821b9f1f633d1e25403
|
|
| MD5 |
f1d7d0ec3fe1c5df4640ad16a3a92996
|
|
| BLAKE2b-256 |
57470876f1ecd3d1ea66a1d510c7108b16c8dc2a03c395122541368fcd429dd9
|
