minimls
A minimal Python client for accessing MLS (Machine Learning Service) from OMI on-premises environments.
Overview
minimls provides a lightweight interface for OMI on-premises servers to communicate with the internal MLS service running on AWS. It abstracts REST API calls and/or AWS SDK interactions into a simple, consistent Python API.
Installation
pip install minimls
Usage
import minimls
print(minimls.__version__)
Development
Setup
# Clone the repository
git clone https://gitlab.cidp.io/mls/minimls.git
cd minimls
# Install with dev dependencies
pip install -e ".[dev]"
Running tests
pytest
Linting
ruff check .
mypy minimls/
Building and publishing
# Build
python -m build
# Upload to PyPI (test)
twine upload --repository testpypi dist/*
# Upload to PyPI
twine upload dist/*
License
MIT
1 maintainer
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
minimls-0.3.1.tar.gz
(6.2 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file minimls-0.3.1.tar.gz.
File metadata
- Download URL: minimls-0.3.1.tar.gz
- Upload date:
- Size: 6.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/7.0.0 CPython/3.11.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3d6fbccd3169d82855580f2aa4261d791f461d0bc23e86209b0dbfb127d91b95
|
|
| MD5 |
0e24e2caf2fa3c2ec9de63d51233d448
|
|
| BLAKE2b-256 |
4e2958f3b1ce176bcccff003c3240bc9fc1a016fc5137de36f276e9033db3f8d
|
File details
Details for the file minimls-0.3.1-py3-none-any.whl.
File metadata
- Download URL: minimls-0.3.1-py3-none-any.whl
- Upload date:
- Size: 5.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/7.0.0 CPython/3.11.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
936d953f5d82abdfbafb67afb6d2b14949e685f5e046182635b4e1eaf9b1d6cf
|
|
| MD5 |
1ac7b8d7197c941f2126ffb645b55d82
|
|
| BLAKE2b-256 |
236b8e6d1c6f5b632ef063dceab32f9ae08b10065cf266bdec2690e62fa983a7
|
