TorchLikelihoods: User-friendly handling of likelihoods in Pytorch
Project description
TorchLikelihoods
A library for handling likelihoods in PyTorch for any type of data
Installation
Run the following to install
pip install torchlikelihoods
Usage
from torchlikelihoods import NormalLikelihood
import torch
num_samples, num_feats = 100, 5
normal_data = torch.randn((num_samples, num_feats))
lik = NormalLikelihood(domain_size=num_feats)
scaler = lik.get_scaler()
print(f"Domain size: {lik.domain_size()}")
print(f"Params size: {lik.params_size()}")
Do you want to get involved in the development?
pip install -e .[dev]
Testing
To run the tests:
make test
pytest
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
torchlikelihoods-0.0.6.3.tar.gz
(14.3 kB
view details)
Built Distribution
File details
Details for the file torchlikelihoods-0.0.6.3.tar.gz
.
File metadata
- Download URL: torchlikelihoods-0.0.6.3.tar.gz
- Upload date:
- Size: 14.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | c4d71df1629a138709cc4888efcdb505dff7c213d6e54ea48465ae4cc7e053c9 |
|
MD5 | 3c963abed4b4e6565a99839641bf5a74 |
|
BLAKE2b-256 | 21e4015040a77ab259346fc489f6384551577b02515b01804c2ce8b2f3046f11 |
File details
Details for the file torchlikelihoods-0.0.6.3-py3-none-any.whl
.
File metadata
- Download URL: torchlikelihoods-0.0.6.3-py3-none-any.whl
- Upload date:
- Size: 26.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | acc1c9c3923df735edd8db385c73a3134063267588ee3577f05e5d7aa8b49720 |
|
MD5 | f955534baf0f29f39671edb735e0ce93 |
|
BLAKE2b-256 | 51b5dc8baa56a24b0e1581b6cb5c5239eb3423ef66145f99463cc2eb0817a855 |