Dist-builder-2-adjustments
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@ -36,13 +36,25 @@ module DemoDist = {
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let make = (~guesstimatorString: string) => {
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let (ys, xs, isEmpty) =
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DistEditor.getPdfFromUserInput(guesstimatorString);
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let continuous: DistTypes.xyShape = {xs, ys};
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let inside =
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isEmpty
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? "Nothing to show" |> E.ste
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: {
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let distPlus =
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Distributions.DistPlus.make(
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~shape=
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Continuous(Distributions.Continuous.fromShape({xs, ys})),
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~domain=Complete,
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~unit=UnspecifiedDistribution,
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~guesstimatorString=None,
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(),
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)
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|> Distributions.DistPlus.T.scaleToIntegralSum(~intendedSum=1.0);
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<DistPlusPlot distPlus />;
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};
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<Antd.Card title={"Distribution" |> E.ste}>
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<div className=Styles.spacer />
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{isEmpty
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? "Nothing to show. Try to change the distribution description."
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|> E.ste
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: <DistributionPlot continuous />}
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inside
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</Antd.Card>;
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};
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};
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@ -54,7 +66,7 @@ let make = () => {
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~validationStrategy=OnDemand,
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~schema,
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~onSubmit=({state}) => {None},
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~initialState={guesstimatorString: "normal(1, 1) / normal(10, 1)"},
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~initialState={guesstimatorString: "lognormal(6.1, 1)"},
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(),
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);
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@ -22,11 +22,11 @@ class BaseDistributionBinned {
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*/
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constructor(args) {
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this._set_props();
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this.max_bin_size = 0.5;
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this.max_bin_size = 0.005;
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this.min_bin_size = 0;
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this.increment = 0.001;
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this.desired_delta = 0.01;
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this.start_bin_size = 0.01;
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this.increment = 0.0001;
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this.desired_delta = 0.0001;
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this.start_bin_size = 0.0001;
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[this.params, this.pdf_func, this.sample] = this.get_params_and_pdf_func(
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args
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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 = 100;
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this.n_bounds_samples = 10000;
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this.n_largest_bound_sample = 10;
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}
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@ -5,8 +5,8 @@ const distrs = require("./distribution.js").distrs;
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const parse = require("./parse.js");
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const math = _math.create(_math.all);
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const NUM_MC_SAMPLES = 300;
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const OUTPUT_GRID_NUMEL = 300;
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const NUM_MC_SAMPLES = 3000;
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const OUTPUT_GRID_NUMEL = 3000;
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/**
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* The main algorithmic work is done by functions in this module.
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