An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
What would you like to be added:
Currently the search space for GPTuner only supports numerical values for type choice.
A possiblity to provide strings would be a convenient option.
Why is this needed:
While it is possible to replace strings with numerical encodings, this reduces readability of code and intuitive interpretability of the hyperparameter plots.
Brief description of your proposal if any:
Internal encoding to numerical values if strings are provided.
What would you like to be added: Currently the search space for GPTuner only supports numerical values for type choice. A possiblity to provide strings would be a convenient option.
Why is this needed: While it is possible to replace strings with numerical encodings, this reduces readability of code and intuitive interpretability of the hyperparameter plots.
Brief description of your proposal if any: Internal encoding to numerical values if strings are provided.
Duplicate of #1546