factored mixture construction into function
Value: [1e-6 to 1e-4]
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@ -3,7 +3,7 @@ open Expect
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open TestHelpers
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open GenericDist_Fixtures
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// integral of from low to high of 1 / (high - low) log(normal(mean, stdev)(x) / (1 / (high - low))) dx
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// integral from low to high of 1 / (high - low) log(normal(mean, stdev)(x) / (1 / (high - low))) dx
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let klNormalUniform = (mean, stdev, low, high): float =>
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-.Js.Math.log((high -. low) /. Js.Math.sqrt(2.0 *. MagicNumbers.Math.pi *. stdev ** 2.0)) +.
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1.0 /.
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@ -118,18 +118,20 @@ describe("klDivergence: discrete -> discrete -> float", () => {
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describe("klDivergence: mixed -> mixed -> float", () => {
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let klDivergence = DistributionOperation.Constructors.klDivergence(~env)
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let mixture = a => DistributionTypes.DistributionOperation.Mixture(a)
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let a' = [(point1, 1.0), (uniformDist, 1.0)]->mixture->run
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let b' = [(point1, 1.0), (floatDist, 1.0), (normalDist10, 1.0)]->mixture->run
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let c' = [(point1, 1.0), (point2, 1.0), (point3, 1.0), (uniformDist, 1.0)]->mixture->run
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let d' =
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[(point1, 1.0), (point2, 1.0), (point3, 1.0), (floatDist, 1.0), (uniformDist2, 1.0)]
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->mixture
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->run
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let (a, b, c, d) = switch (a', b', c', d') {
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| (Dist(a''), Dist(b''), Dist(c''), Dist(d'')) => (a'', b'', c'', d'')
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| _ => raise(MixtureFailed)
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let mixture' = a => DistributionTypes.DistributionOperation.Mixture(a)
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let mixture = a => {
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let dist' = a->mixture'->run
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switch dist' {
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| Dist(dist) => dist
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| _ => raise(MixtureFailed)
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}
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}
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let a = [(point1, 1.0), (uniformDist, 1.0)]->mixture
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let b = [(point1, 1.0), (floatDist, 1.0), (normalDist10, 1.0)]->mixture
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let c = [(point1, 1.0), (point2, 1.0), (point3, 1.0), (uniformDist, 1.0)]->mixture
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let d =
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[(point1, 1.0), (point2, 1.0), (point3, 1.0), (floatDist, 1.0), (uniformDist2, 1.0)]->mixture
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test("finite klDivergence produces correct answer", () => {
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let prediction = b
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let answer = a
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