Managed machine-learning model training tool based on sacred.
The goal: help efficiently find good models via managed experiments.
Status:
trying to write down the vision and scope of the project
a few callbacks for integration of Keras with Sacred
an “egg” of a backend to provide results from MongoDB via REST API
See the wiki for details.
Contact
If you feel the same amount of pain with training your models and would like to discuss this, feel free to get in touch!
Bohumír Zámečník - [@bzamecnik](https://twitter.com/bzamecnik) on Twitter
Metadata
Release files for sanctuary 0.1.2
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 | |
|---|---|---|---|---|
| sanctuary-0.1.2.tar.gz | 4.5 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sanctuary-0.1.2-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 11.6 kB
Release files / sanctuary-0.1.2.tar.gz
| Download URL | sanctuary-0.1.2.tar.gz |
|---|---|
| Size | 4.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
6c092bb9fd4078d2b2df45620def50a2a1060bf44e07f6d2ed425f2e192d18aa
|
|
BLAKE2b-256 checksum How to use checksums |
c23bee5920d74bf0179956aa0f1f817da48b14d9b2691dc6a76fa444f8e518de
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / sanctuary-0.1.2-py2.py3-none-any.whl
| Download URL | sanctuary-0.1.2-py2.py3-none-any.whl |
|---|---|
| Size | 7.0 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
a6f249383f743c51767f1d8a3efe69962f49882d7e17c468775686b0a8a34eeb
|
|
BLAKE2b-256 checksum How to use checksums |
62903955854e95459d674cc5628d2d3210fb91309040e05854a2781555e5fbde
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for sanctuary 0.1.2
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.