Embedding Kit
Methods for data normalization, embedding, synthesis and transformation
Installation
pip install embkit
Training a model
embkit model train-vae ./experiments/tcga/tumor.normalized.tsv --epochs 120
Development
To install the library locally use:
pip install -e .
python setup.py build
python setup.py install
To run tests use:
coverage run --source=embkit -m unittest discover -s tests
To generate a coverage report use:
coverage html
To open the coverage report in a browser, run:
MacOS:
open htmlcov/index.html
Linux:
xdg-open htmlcov/index.html
Windows:
start htmlcov\index.html
Release files for embkit 0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| embkit-0.4.tar.gz | 60.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| embkit-0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 141.2 kB
Release files / embkit-0.4.tar.gz
| Download URL | embkit-0.4.tar.gz |
|---|---|
| Size | 60.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
ee9ea3e946cc1aea1e4805596950d394ae2b07fb753e934b95bca9f938546892
|
|
BLAKE2b-256 checksum How to use checksums |
69a361c5fcabbb838c5d3e3818e5f48fa8492c56725492e9457c755f0ff7800a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jun 25, 2026.
Transparency logRelease files / embkit-0.4-py3-none-any.whl
| Download URL | embkit-0.4-py3-none-any.whl |
|---|---|
| Size | 80.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
e45ba4a26d17dda5bd2f3ed8e30d7199577cdd0dc1843ab2c2a090e88ed18f72
|
|
BLAKE2b-256 checksum How to use checksums |
1218412f3925627accadce12ddca2fe7f3d1be289d6021c63840a85c26871231
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jun 25, 2026.
Transparency log
