Some minor CR
Value: [1e-10 to 1e-4]
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@ -60,10 +60,10 @@ let integralEndY = (t: t): float =>
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let isNormalized = (t: t): bool => Js.Math.abs_float(integralEndY(t) -. 1.0) < 1e-7
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module Score = {
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let klDivergence = (t1, t2, ~toPointSetFn: toPointSetFn): result<float, error> => {
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let pointSets = E.R.merge(toPointSetFn(t1), toPointSetFn(t2))
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pointSets |> E.R2.bind(((a, b)) =>
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PointSetDist.T.klDivergence(a, b)->E.R2.errMap(x => DistributionTypes.OperationError(x))
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let klDivergence = (prediction, answer, ~toPointSetFn: toPointSetFn): result<float, error> => {
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let pointSets = E.R.merge(toPointSetFn(prediction), toPointSetFn(answer))
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pointSets |> E.R2.bind(((predi, ans)) =>
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PointSetDist.T.klDivergence(predi, ans)->E.R2.errMap(x => DistributionTypes.OperationError(x))
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)
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}
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@ -209,9 +209,6 @@ module T = Dist({
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| _ => Error(Operation.NotYetImplemented)
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}
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}
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let logScoreAgainstImproperPrior = (prediction: t, answer: float) => {
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Error(Operation.NotYetImplemented)
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}
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})
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let pdf = (f: float, t: t) => {
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@ -169,7 +169,10 @@ module Helpers = {
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E.A.Floats.range(a, b, MagicNumbers.Environment.defaultXYPointLength)
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| _ => []
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}
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{xs: xs, ys: E.A.fmap(fn, xs)}->Continuous.make->Continuous->DistributionTypes.PointSet
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{xs: xs, ys: E.A.fmap(fn, xs)}
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->Continuous.make
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->PointSetTypes.Continuous
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->DistributionTypes.PointSet
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}
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}
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