There are three main steps in order to run deep learning workloads with MADlib:
This flowchart shows the workflow in more detail:
Modules | |
Model Preparation | |
Prepare models and data for deep learning. | |
Train Single Model | |
Fit, evaluate and predict for one model. | |
Train Multiple Models | |
Train multiple deep learning models at the same time for model architecture search and hyperparameter selection. | |
Utilities for Deep Learning | |
Utilities specific to deep learning workflows. | |