mls-model-registry (sktmls)
Contents
Description
A Python package for MLS model registry.
This python package includes
- Customized prediction pipelines inheriting MLSModel
- Model uploader to AWS S3 for meta management and online prediction
Installation
Installation is automatically done by training containers in YE. If you want to install manually for local machines,
# develop
pip install --index-url https://test.pypi.org/simple/ --no-deps sktmls
# production
pip install sktmls
How to use
- MLS Docs: https://ab.sktmls.com/docs/model-registry
- sktmls Docs: https://sktaiflow.github.io/mls-sdk/sktmls
Development
Requirements for development
- Python 3.6
- requirements.txt
- requirements-dev.txt
Local model registry
To enable all model related features in local environment, you need to create a directory models in your home directory.
$ cd ~/
$ mkdir models
Python environment
First you need to do the followings
$ python -V # Check if the version is 3.6.
$ python -m venv env # Create a virtualenv.
$ . env/bin/activate # Activate the env.
$ pip install --upgrade pip
$ pip install --upgrade setuptools
$ pip install --upgrade wheel
$ pip install -r requirements.txt # Install required packages.
$ pip install -r requirements-dev.txt # Install required dev packages.
Documents generation
Before a commit, generate documents if any docstring has been changed
rm -rf docs
pdoc --html --config show_source_code=False -f -o ./docs sktmls
Version
sktmls package version is automatically genereated followd by a production release on format YY.MM.DD
We use Calendar Versioning. For version available, see the tags on this repository.
1 maintainer
Release files for sktmls 2026.7.30
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sktmls-2026.7.30.tar.gz | 103.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sktmls-2026.7.30-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 258.0 kB
Release files / sktmls-2026.7.30.tar.gz
| Download URL | sktmls-2026.7.30.tar.gz |
|---|---|
| Size | 103.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
89053b01bf63bdcb00feece2de82b18328ff701c5959356e27dc98521e243406
|
|
BLAKE2b-256 checksum How to use checksums |
5bce26f3d7583317c9c8764db3a074fadd9b5ddf839f59b080b7153ef0d995d2
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.11.13
|
Release files / sktmls-2026.7.30-py3-none-any.whl
| Download URL | sktmls-2026.7.30-py3-none-any.whl |
|---|---|
| Size | 154.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
e7a93fdfb9e2a8b8ea7692af54c5d28885a425b4b0fbf5af81c6d6bc78dd0d03
|
|
BLAKE2b-256 checksum How to use checksums |
f723a6fba921ffd3064a7fd112b2575dfca3dd1d29267fc0e22a89e8149e1b95
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.11.13
|
