GradientOracle is a predictive analytics framework utilizing machine learning processing and online learning, with built-in optimizer and scheduler.
The key benefits of using GradientOracle include:
- GradientOracle is a predictive analytics
- framework utilizing machine learning processing
- and online learning, with built-in
- GradientOracle is a predictive analytics
- framework utilizing machine learning processing
- and online learning, with built-in
- python
- python framework (Flask/Django/FastAPI or equivalent)
- Pytest for testing
- Clone the repository:
git clone https://github.com/fuad403273/GradientOracle.git cd GradientOracle- Install in editable mode:
pip install -e .
Runtime options can be set in the config file or overridden per call. The most commonly changed values are:
- timeout: how long operations may run before failing
- retries: how many times a failed operation is re-attempted
- cache: where temporary results are stored
Pull requests and issue reports are both welcome. Please read the existing code style before submitting.
This project is licensed under the MIT License. See the LICENSE file for details.