Welcome to ML Tooling!¶
Welcome to ML Tooling’s documentation!
There are three main parts to ML Tooling:
- Model wraps all the functionality,
- Transformers has a number of pandas-compatible scikit-learn Transformers for use in scikit-learn Pipelines
- Plotting has a number of utility plotting functions that can be used standalone
ML Tooling standardises interfaces for training, saving and loading models while also providing a number of utility functions for everyday tasks such as plotting, comparing results and gridsearching.
ML Tooling was developed at Alm Brand
Table of Contents¶
- Data Plotting