A special kind of adaptive models are the adaptive functions. They combine the properties of a mathematical function with those of an adaptive model. The class AdaptiveFunction manifests and standardizes these functions without implementing concrete learning paradigms. The latter happens in higher MLPro frameworks, for example in MLPro-SL for offline/online supervised learning.
Adaptive functions have a high practical relevance. They are reused within MLPro, e.g. in connection with model-based agents. But they can also be used in general for predictions.
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