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Ludwig Defaults Config Section Example
Demonstrates how to use Ludwig's defaults section introduced in v0.6.
Preparatory Steps
- Create
datadirectory - Download Kaggle wine quality data set into the
datadirectory. Directory should appear as follows:
wine_quality/
data/
winequalityN.csv
Description
Jupyter notebook model_defaults_example.ipynb demonstrates how to use the defaults section of Ludwig.
Key features demonstrated in the notebook:
- Training data is prepared for use
- Programmatically create Ludwig config dictionary from the training data dataframe
- How to define preprocessing, encoder, decoder and loss sub-sections under the defaults section