Lightweight Pipelining In Python
Using Joblib for Storing the Machine Learning Pipeline to a File
Published in
3 min readAug 13, 2021
Pipelining process helps in providing an easy approach in downloading and using the Machine Learning model on-demand. It helps in parallelization which means different jobs can be run parallelly also it reduces redundancy and helps to inspect and debug the data flow in the model.
