Welcome to LazyGrid¶
LazyGrid is a python package providing an automatic, efficient and flexible implementation of complex machine learning pipeline generation and cross-validation.
Before fitting a model or a pipeline step, LazyGrid checks inside an internal SQLite database if the model has already been fitted. If the model is found, it won’t be fitted again.
You can install LazyGrid along with all its dependencies from PyPI:
$ pip install -r requirements.txt lazygrid
The source code and minimal working examples can be found on GitHub.