cards/machine-learning/learning-theories/set-shatter/

[giscus[bot]]

cards/machine-learning/learning-theories/set-shatter/

Given a set $\mathcal S$, and a class (collection of sets) $\mathcal H$.
For any subset of $\mathcal S$, denoted as $\mathcal s$, if we have an element of class $\mathcal H$, denoted as $\mathcal h$, that leads to1
$$ \mathcal h \cap \mathcal S = \mathcal s. $$
Since the power set of $\mathcal S$ ($P(\mathcal S)$) contains all the possible subsets of $\mathcal S$, we can also rephrase the concept using power set. If we can find the power set $P(\mathcal S)$ by looking into intersections of elements $\mathcal h$ of $\mathcal H$ ($\mathcal h\in \mathcal H$), then we say $\mathcal H$ shatters $\mathcal S$ 1.

https://datumorphism.leima.is/cards/machine-learning/learning-theories/set-shatter/