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Clean docs #138

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Jun 26, 2022
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Clean docs #138

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Fix typos
pitmonticone May 26, 2022
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Merge branch 'sisl:master' into master
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pitmonticone Jun 25, 2022
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4 changes: 2 additions & 2 deletions docs/src/usage.md
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Expand Up @@ -33,11 +33,11 @@ TikzPictures.save(SVG("plot1"), plot)

## Conditional Probability Distributions

Conditional Probablity Distributions, $P(x_i \mid \text{parents}(x_i))$, are defined in BayesNets.CPDs. Each CPD knows its own name, the names of its parents, and is associated with a distribution from Distributions.jl.
Conditional Probability Distributions, $P(x_i \mid \text{parents}(x_i))$, are defined in BayesNets.CPDs. Each CPD knows its own name, the names of its parents, and is associated with a distribution from Distributions.jl.

| `CPDForm` | Description |
| ------------------------------ | ----------- |
| `StaticCPD` | Any `Distributions.distribution`; indepedent of any parents |
| `StaticCPD` | Any `Distributions.distribution`; independent of any parents |
| `FunctionalCPD` | Allows for a CPD defined with a custom eval function |
| `ParentFunctionalCPD` | Modification to `FunctionalCPD` allowing the parent values to be passed in |
| `CategoricalCPD` | Categorical distribution, assumes integer parents in $1:N$ |
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