Contents:
Here can find different Jupyter notebook examples about how to use d3m-interface:
Tabular classification for D3M datasets
Tabular classification for CSV and OpenML datasets
Text classification
Image regression
Time-series classification
Time-series forecasting
Analyzing text datasets (using a private dataset)
Running multiple D3M AutoMLs
Export pipelines to Python code
Explaining text models (using a private dataset)
Integration with Auctus Datamart