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distributions.tppl

function distributions​

model function distributions() => TestDistributions

type TestDistributions​

type TestDistributions = TestDistributions {

  aBernoulli: Bool,
  someBernoulli: Bool[],
  scoreBernoulli: Real,
  logScoreBernoulli: Real,

  aBeta: Real,
  someBeta: Real[],
  scoreBeta: Real,
  logScoreBeta: Real,

  aBinomial: Int,
  someBinomial: Int[],
  scoreBinomial: Real,
  logScoreBinomial: Real,

  aCategorical: Int,
  someCategorical: Int[],
  scoreCategorical: Real,
  logScoreCategorical: Real,

  aChi2: Real,
  someChi2: Real[],
  scoreChi2: Real,
  logScoreChi2: Real,

  aDirichlet: Real[],
  someDirichlet: Real[][],
  scoreDirichlet: Real,
  logScoreDirichlet: Real,

  anExponential: Real,
  someExponential: Real[],
  scoreExponential: Real,
  logScoreExponential: Real,

  aGamma: Real,
  someGamma: Real[],
  scoreGamma: Real,
  logScoreGamma: Real,

  aGaussian: Real,
  someGaussian: Real[],
  scoreGaussian: Real,
  logScoreGaussian: Real,

  aGeometric: Int,
  someGeometric: Int[],
  scoreGeometric: Real,
  logScoreGeometric: Real,

  aMultinomial: Int[],
  someMultinomial: Int[][], // works! wow :)
  scoreMultinomial: Real,
  logScoreMultinomial: Real,

  aPoisson: Int,
  somePoisson: Int[],
  scorePoisson: Real,
  logScorePoisson: Real,

  aUniform: Real,
  someUniform: Real[],
  scoreUniform: Real,
  logScoreUniform: Real,

  aUniformDiscrete: Int,
  someUniformDiscrete: Int[],
  scoreUniformDiscrete: Real,
  logScoreUniformDiscrete: Real,

  aReciprocal: Real,
  someReciprocal: Real[],
  scoreReciprocal: Real,
  logScoreReciprocal: Real
}