https://github.com/itrauco/mlops-cli
MLOps CLI
https://github.com/itrauco/mlops-cli
gcp google-cloud machine-learning mlops mlops-workflow
Last synced: 7 months ago
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MLOps CLI
- Host: GitHub
- URL: https://github.com/itrauco/mlops-cli
- Owner: iTrauco
- Created: 2025-01-04T08:14:53.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-01-04T11:10:15.000Z (about 1 year ago)
- Last Synced: 2025-06-07T07:02:11.103Z (10 months ago)
- Topics: gcp, google-cloud, machine-learning, mlops, mlops-workflow
- Language: Python
- Homepage:
- Size: 18.6 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# MLOps Catalog
A comprehensive MLOps catalog system for managing machine learning experiments, models, and artifacts.
## Features
- Experiment tracking and management
- Model registry with versioning
- Data source management
- Local and cloud runners
- CLI interface
## Installation
```bash
# Clone the repository
git clone https://github.com/yourusername/mlops_catalog.git
cd mlops_catalog
# Create and activate virtual environment
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
# Install development dependencies
pip install -e ".[dev]"
```
## Usage
1. Register a model:
```bash
mlops model register config.yaml
```
2. Run an experiment:
```bash
mlops exp run experiment.yaml train.py
```
3. Register a data source:
```bash
mlops data register training-data data/train.csv
```
## Documentation
Full documentation is available in the `docs` directory.
## License
This project is licensed under the MIT License.