VevestaX
Track failed and successful experiments as well as features.
VevestaX is an open source Python package for ML Engineers and Data Scientists. It includes modules for tracking features sourced from data, feature engineering and variables. The output is an excel file which has tabs namely, data sourcing, feature engineering and modelling. It tracks these values in Jupyter notebook.
How to install the library:
$ pip install vevestaX
How to import a library and create the object
How to extract features present in input data.
How to extract engineered features
How to track variables used in modelling section of the code
How to dump the features and modelling variables in an xlsx file
For additional features, explore our tool at www.vevesta.com