matrixor
Matrix transformations in Python. Implements algorithm 2.4 (AO+Scaling) of the paper:
@article{devetal2018,
title={{Absolute Orientation for Word Embedding Alignment}},
author={Sunipa Dev and Safia Hassan and Jeff M. Phillips},
journal={CoRR},
year={2018},
volume={abs/1806.01330}
}
Install
pip install matrixor
or, after a git clone:
python3 setup.py install
Run
Align two models with Absolute Orientation + Scaling and return RMSE
To align two embeddings, run:
matrixor align \
--matrix-1 /abs/path/to/xxx.vec.npy \
--matrix-2 /abs/path/to/yyy.vec.npy \
pass in the --average to return the averaged RMSE by aligning A and B then B and A (alignment may not be symmetric due to floating point average)
Metadata
Release files for matrixor 1.0.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| matrixor-1.0.7.tar.gz | 3.4 kB | Without provenance | Details for matrixor-1.0.7.tar.gz |
Release files / matrixor-1.0.7.tar.gz
| Download URL | matrixor-1.0.7.tar.gz |
|---|---|
| Size | 3.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
df27d663acbfba9ff50ba77511e67d2f8d09fb3bdbdb6ad922be3b645d9915f4
|
|
BLAKE2b-256 checksum How to use checksums |
dc6c3524b519bd06e609e1c1b985422d4e9c61a8de26d19bf843f7a4499f6e3a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.35.0 CPython/3.6.5
|
Security for matrixor 1.0.7
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.