A toolkit for latent variable modeling and dimensionality reduction
Project description
latents is a toolkit for latent variable modeling and dimensionality reduction.
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
latents-0.0.1.tar.gz
(2.4 kB
view details)
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 latents-0.0.1.tar.gz.
File metadata
- Download URL: latents-0.0.1.tar.gz
- Upload date:
- Size: 2.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
de94b2961c71007c87a6c74997c41bfc3db97c18817e57cad82dcd2f0ef3e6aa
|
|
| MD5 |
929c36bf705a1e1460e9e4baba745dc8
|
|
| BLAKE2b-256 |
5efa486511f164697a6838b24d61788ae23ecb3e841ee36182d36cc04467baca
|
File details
Details for the file latents-0.0.1-py3-none-any.whl.
File metadata
- Download URL: latents-0.0.1-py3-none-any.whl
- Upload date:
- Size: 2.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a9b6c040792480e433df1f766da5eaf09b0c476c47ef982b20cf6f5225839814
|
|
| MD5 |
7eec1685df1d600a5771e6b617cfc424
|
|
| BLAKE2b-256 |
385617be84c898d157515a0783d473c668de5cea3438dc304a1f2f6a750c1b63
|
