Definitions

# Discriminative model

Discriminative models are a class of models used in machine learning for modeling the dependence of an unobserved variable $y$ on an observed variable $x$. Within a statistical framework, this is done by modeling the conditional probability distribution $P\left(y|x\right)$, which can be used for predicting $y$ from $x$.

Discriminative models differ from generative models in that they do not allow one to generate samples from the joint distribution of $x$ and $y$.

Examples of discriminative models used in machine learning include:

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