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
1 maintainer
Metadata
1 maintainer
Release files for sanctuary 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sanctuary-0.1.1.tar.gz | 4.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sanctuary-0.1.1-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 11.6 kB
Release files / sanctuary-0.1.1.tar.gz
| Download URL | sanctuary-0.1.1.tar.gz |
|---|---|
| Size | 4.5 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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No |
Release files / sanctuary-0.1.1-py2.py3-none-any.whl
| Download URL | sanctuary-0.1.1-py2.py3-none-any.whl |
|---|---|
| Size | 7.0 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
