Registry & Factory Pattern

The package uses a shared BaseFactory pattern to dynamically register and create components by string name.

Core factory capabilities

Factories provide:

• register(*names, categories=...)
• create(name, **kwargs)
• available()
• contains(name)
• available_by_category(category)
• supports(name, category)

Main factories

Factory	Registered components
BregmanDivergenceFactory	euclidean, gkl, is, logistic
LocalModelFactory	sklearn local models and mean_regressor
CombinerFactory	regression and classification combiners
COBRA factories	estimators, distances, kernels, losses, optimizers, aggregators, splitters

Example registration

from kfc_procedure.core.combiner.base import BaseCombiner, CombinerFactory

@CombinerFactory.register("median", categories={"regression"})
class MedianCombiner(BaseCombiner):
    def fit(self, X, y=None):
        return self

    def combine(self, X):
        import numpy as np
        return np.median(X, axis=1)