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Hdmr is a tool designed for model benchmarking, enabling users to create and evaluate function approximation models. It provides a structured approach to comparing different models and understanding their performance under various conditions.
What models are compatible with Hdmr?
Hdmr supports a wide range of models, including machine learning algorithms and custom mathematical functions.
Can I add custom evaluation metrics?
Yes, Hdmr allows users to define and integrate custom metrics for model evaluation.
How do I interpret the benchmarking results?
Results are presented in visual and numerical formats, enabling clear comparison of model performance based on defined metrics.