ScalarStop is a Python package that requires Python 3.8 or newer.
We encourage anybody that would like to add support for other machine learning frameworks to ScalarStop. :)
ScalarStop is available on PyPI.
If you are using TensorFlow on a CPU, you can install ScalarStop with the command:
python3 -m pip install scalarstop[tensorflow]
If you are using TensorFlow with GPUs, you can install ScalarStop with the command:
python3 -m pip install scalarstop[tensorflow-gpu]
If you would like to make changes to ScalarStop, you can clone the repository from GitHub.
git clone https://github.com/scalarstop/scalarstop.git cd scalarstop python3 -m pip install .
The best way to learn ScalarStop is to follow the Official ScalarStop Tutorial.
Afterwards, you might want to dig deeper into the ScalarStop documentation. In general, a typical ScalarStop workflow involves four steps:
Organize your datasets with
Describe your machine learning model architectures using
Load, train, and save machine learning models with
Save hyperparameters and training metrics to a SQLite or PostgreSQL database using