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# CategoricalDistributions.jl
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Probability distributions and measures for finite sample spaces whose
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- elements are * labeled* .
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+ elements are * labeled* (consist of the class pool of a
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+ ` CategoricalArray ` ).
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Designed for performance in machine learning applications. For
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example, probabilistic classifiers in
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[ MLJ] ( https://alan-turing-institute.github.io/MLJ.jl/dev/ ) typically
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predict the ` UnivariateFiniteVector ` objects defined in this package.
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- For probability distributions over integers (unlabeled data) see the
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+ For probability distributions over integers see the
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[ Distributions.jl] ( https://juliastats.org/Distributions.jl/stable/univariate/#Discrete-Distributions )
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package, whose methods the current package extends.
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