Mixture Density Networks in scikit-learn
Project description
scikit-mdn
A mixture density network, by PyTorch, for scikit-learn
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
scikit-mdn-0.0.2.tar.gz
(3.9 kB
view details)
Built Distribution
File details
Details for the file scikit-mdn-0.0.2.tar.gz.
File metadata
- Download URL: scikit-mdn-0.0.2.tar.gz
- Upload date:
- Size: 3.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | afa4a9b0de39e27014941e2633754ce40b4291bd584aca46dd79b12236a1a187 |
|
| MD5 | f97f3fd1e8263edcd66882f5074e1bdb |
|
| BLAKE2b-256 | 849ab2391fee0022fbcf4e87d9b9d65cce1b4f4dd716728789f0fa36b046454a |
File details
Details for the file scikit_mdn-0.0.2-py2.py3-none-any.whl.
File metadata
- Download URL: scikit_mdn-0.0.2-py2.py3-none-any.whl
- Upload date:
- Size: 4.1 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 3e3b6ac8d3f9572a9c270c797bc833b916259cc00720b13daa8be823f158d8ef |
|
| MD5 | 53cb27ed908ff17b9bea745669849875 |
|
| BLAKE2b-256 | e1c7477217e8f1b043bbf42c4017b29927aa9c78f8aa397530a7cc3f9df0abaa |
