Minor enhancements
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@ -179,7 +179,7 @@ class LogNormalDistributionBinned extends BaseDistributionBinned {
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_set_props() {
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this.name = "lognormal";
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this.param_names = ["normal_mean", "normal_std"];
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this.n_bounds_samples = 1000;
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this.n_bounds_samples = 100;
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this.n_largest_bound_sample = 10;
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}
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@ -306,6 +306,12 @@ module Range = {
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(((lastX, lastY), (nextX, nextY)): zippedRange) =>
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(nextX -. lastX) *. (lastY +. nextY) /. 2.;
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//Todo: figure out how to without making new array.
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let rangeAreaAssumingTrapezoids =
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(((lastX, lastY), (nextX, nextY)): zippedRange) =>
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(nextX -. lastX)
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*. (Js.Math.min_float(lastY, nextY) +. (lastY +. nextY) /. 2.);
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let delta_y_over_delta_x =
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(((lastX, lastY), (nextX, nextY)): zippedRange) =>
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(nextY -. lastY) /. (nextX -. lastX);
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@ -316,18 +322,18 @@ module Range = {
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|> E.R.toOption
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|> E.O.fmap(r => r |> Belt.Array.map(_, r => (nextX(r), fn(r))));
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// This code is messy, in part because I'm trying to make things easy on garbage collection here.
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// It's using triangles instead of trapezoids right now.
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let integrateWithTriangles = ({xs, ys}) => {
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let length = E.A.length(xs);
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let cumulativeY = Belt.Array.make(length, 0.0);
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let _ = Belt.Array.set(cumulativeY, 0, 0.0);
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for (x in 0 to E.A.length(xs) - 2) {
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let area =
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rangeAreaAssumingTriangles((
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(xs[x], ys[x]),
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(xs[x + 1], ys[x + 1]),
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));
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let cumulative = area +. cumulativeY[x];
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let _ = Belt.Array.set(cumulativeY, x + 1, cumulative);
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Belt.Array.set(
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cumulativeY,
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x + 1,
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(xs[x + 1] -. xs[x]) *. ((ys[x] +. ys[x + 1]) /. 2.) +. cumulativeY[x],
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);
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();
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};
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Some({xs, ys: cumulativeY});
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@ -115,6 +115,7 @@ module FloatFloatMap = {
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let fmap = (fn, t: t) => Belt.MutableMap.map(t, fn);
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};
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// todo: Figure out some way of doing this without creating a new array.
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let split = (sortedArray: array(float)) => {
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let continuous = [||];
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let discrete = FloatFloatMap.empty();
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