HLearn.Models.Distributions.Visualization.Graphviz

Displays Multivariate dependencies

Documentation

class Trainable datatype => MultivariateLabels datatype where

Methods

getLabels :: datatype -> [String]

class MultivariateLabels (Datapoint dist) => MarkovNetwork dist where

Methods

graphL :: dist -> [String] -> [(String, [String])]

plotNetwork :: FilePath -> dist -> IO Bool

Instances

(MultivariateLabels datapoint, SingI Nat (Length * labelL), MarkovNetwork (Multivariate datapoint (: [* -> * -> *] ys xs) prob)) => MarkovNetwork (Multivariate datapoint (: [* -> * -> *] (: (* -> * -> *) (MultiContainer [*] dist labelL) ys) xs) prob)

(MultivariateLabels datapoint, MarkovNetwork (Multivariate datapoint (: [* -> * -> *] ys xs) prob)) => MarkovNetwork (Multivariate datapoint (: [* -> * -> *] (: (* -> * -> *) (Container k dist label) ys) xs) prob)

(MultivariateLabels datapoint, MarkovNetwork (Multivariate datapoint (: [* -> * -> *] ys xs) prob)) => MarkovNetwork (Multivariate datapoint (: [* -> * -> *] (: (* -> * -> *) (CatContainer label) ys) xs) prob)

(MultivariateLabels datapoint, MarkovNetwork (Multivariate datapoint (: [* -> * -> *] ys xs) prob)) => MarkovNetwork (Multivariate datapoint (: [* -> * -> *] (: (* -> * -> *) (Ignore' label) ys) xs) prob)

(MultivariateLabels datapoint, MarkovNetwork (Multivariate datapoint xs prob)) => MarkovNetwork (Multivariate datapoint (: [* -> * -> *] ([] (* -> * -> *)) xs) prob)

MultivariateLabels datapoint => MarkovNetwork (Multivariate datapoint ([] [* -> * -> *]) prob)