https://github.com/itrauco/mlops-cli

MLOps CLI |
https://github.com/itrauco/mlops-cli

gcp google-cloud machine-learning mlops mlops-workflow

Last synced: 4 days 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 (23 days ago)
• Default Branch: main
• Last Pushed: 2025-01-04T09:39:35.000Z (22 days ago)
• Last Synced: 2025-01-04T11:00:34.411Z (22 days ago)
• Topics: gcp, google-cloud, machine-learning, mlops, mlops-workflow
• Language: Python
• Homepage: https://weareogx.com
• Size: 10.7 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.