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-0.0.5.1.tar.gz
(13.8 kB
view details)
Built Distribution
File details
Details for the file torchlikelihoods-0.0.5.1.tar.gz
.
File metadata
- Download URL: torchlikelihoods-0.0.5.1.tar.gz
- Upload date:
- Size: 13.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.10.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | f2ec11d9036a030c0e8fb031c12236968c63a7c34996061cb6d6c42e7d91fb6c |
|
MD5 | 3b27e09da864321815a00ee24f8d6b92 |
|
BLAKE2b-256 | 499a740ff371cba9714c07b198114c3a90643fbf061451cfa80fad4c1220cff7 |
File details
Details for the file torchlikelihoods-0.0.5.1-py3-none-any.whl
.
File metadata
- Download URL: torchlikelihoods-0.0.5.1-py3-none-any.whl
- Upload date:
- Size: 25.7 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 | b411c3a0a84378cd673a612207fcbd0bd0682b17f02ee3e1629a9bbcfc6e5b51 |
|
MD5 | cd9ef0c416ba934ec14cd2b1fdb657a5 |
|
BLAKE2b-256 | 1dee91c4a2a217b620bb1ab80dedbe6a389b5dc8c8373126b5d5f432c43c1e63 |