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Monotonic constraints impose a direction of variation between selected features and the target.
A model with an increasing constraint for a given feature f will yield increasing predicted values when values of f are increasing and all other features are being kept equal.
Some restrictions apply:
The following selected models are incompatible with monotonic constraints and will fail during training: