Examples

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