NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (AutoML) pipelines.
We need a way for TFDS to lazily download and prepare datasets, so that it only runs at pipeline execution time instead of during DAG construction time.
We need a way for TFDS to lazily download and prepare datasets, so that it only runs at pipeline execution time instead of during DAG construction time.