Merge pull request #638 from quantified-uncertainty/Documentation-auto-generation
First attempt at a complete API definition
This commit is contained in:
commit
a690cd15fd
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@ -18,7 +18,7 @@ describe("builtin", () => {
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testEval("2>1", "Ok(true)")
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testEval("concat('a','b')", "Ok('ab')")
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testEval(
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"addOne(t)=t+1; toInternalSampleArray(mapSamples(fromSamples([1,2,3,4,5,6]), addOne))",
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"addOne(t)=t+1; toList(mapSamples(fromSamples([1,2,3,4,5,6]), addOne))",
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"Ok([2,3,4,5,6,7])",
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)
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})
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@ -88,8 +88,8 @@ describe("Peggy Types to Expression", () => {
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})
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describe("squiggle expressions in type modifiers", () => {
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testToExpression(
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"odds1 = [1,3,5]; odds2 = [7, 9]; type odds = number<-memberOf(odds1 + odds2)",
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"{(:$_let_$ :odds1 {(:$_constructArray_$ (1 3 5))}); (:$_let_$ :odds2 {(:$_constructArray_$ (7 9))}); (:$_typeAlias_$ #odds (:$_typeModifier_memberOf_$ #number (:add :odds1 :odds2)))}",
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"odds1 = [1,3,5]; odds2 = [7, 9]; type odds = number<-memberOf(concat(odds1, odds2))",
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"{(:$_let_$ :odds1 {(:$_constructArray_$ (1 3 5))}); (:$_let_$ :odds2 {(:$_constructArray_$ (7 9))}); (:$_typeAlias_$ #odds (:$_typeModifier_memberOf_$ #number (:concat :odds1 :odds2)))}",
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~v="{_typeAliases_: {odds: {typeTag: 'typeIdentifier',typeIdentifier: #number,memberOf: [1,3,5,7,9]}},odds1: [1,3,5],odds2: [7,9]}",
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(),
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)
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@ -7,7 +7,7 @@ describe("map reduce", () => {
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testEvalToBe("change(acc,x)=acc*x+x; arr=[1,2,3]; reduce(arr, 0, change)", "Ok(15)")
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testEvalToBe("change(acc,x)=acc*x+x; arr=[1,2,3]; reduceReverse(arr, 0, change)", "Ok(9)")
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testEvalToBe("arr=[1,2,3]; reverse(arr)", "Ok([3,2,1])")
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testEvalToBe("check(x)=(x==2);arr=[1,2,3]; keep(arr,check)", "Ok([2])")
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testEvalToBe("check(x)=(x==2);arr=[1,2,3]; filter(arr,check)", "Ok([2])")
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})
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Skip.describe("map reduce (sam)", () => {
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@ -47,6 +47,9 @@ type fnDefinition = {
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type function = {
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name: string,
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definitions: array<fnDefinition>,
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examples: option<string>,
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description: option<string>,
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isExperimental: bool,
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}
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type registry = array<function>
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@ -57,10 +60,10 @@ module FRType = {
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switch t {
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| FRTypeNumber => "number"
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| FRTypeNumeric => "numeric"
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| FRTypeDistOrNumber => "frValueDistOrNumber"
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| FRTypeDistOrNumber => "distribution|number"
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| FRTypeRecord(r) => {
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let input = ((name, frType): frTypeRecordParam) => `${name}: ${toString(frType)}`
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`record({${r->E.A2.fmap(input)->E.A2.joinWith(", ")}})`
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`{${r->E.A2.fmap(input)->E.A2.joinWith(", ")}}`
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}
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| FRTypeArray(r) => `list(${toString(r)})`
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| FRTypeLambda => `lambda`
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@ -331,13 +334,34 @@ module FnDefinition = {
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module Function = {
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type t = function
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let make = (~name, ~definitions): t => {
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type functionJson = {
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name: string,
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definitions: array<string>,
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examples: option<string>,
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description: option<string>,
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isExperimental: bool,
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}
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let make = (~name, ~definitions, ~examples=?, ~description=?, ~isExperimental=false, ()): t => {
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name: name,
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definitions: definitions,
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examples: examples,
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isExperimental: isExperimental,
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description: description,
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}
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let toJson = (t: t): functionJson => {
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name: t.name,
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definitions: t.definitions->E.A2.fmap(FnDefinition.toString),
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examples: t.examples,
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description: t.description,
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isExperimental: t.isExperimental,
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}
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}
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module Registry = {
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let toJson = (r: registry) => r->E.A2.fmap(Function.toJson)
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/*
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There's a (potential+minor) bug here: If a function definition is called outside of the calls
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to the registry, then it's possible that there could be a match after the registry is
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@ -350,6 +374,7 @@ module Registry = {
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~env: DistributionOperation.env,
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) => {
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let matchToDef = m => Matcher.Registry.matchToDef(registry, m)
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//Js.log(toSimple(registry))
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let showNameMatchDefinitions = matches => {
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let defs =
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matches
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@ -57,6 +57,7 @@ let registry = [
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~run=(inputs, _) => inputsTodist(inputs, r => Continuous(Continuous.make(r))),
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),
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],
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(),
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),
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Function.make(
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~name="toDiscretePointSet",
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@ -67,6 +68,7 @@ let registry = [
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~run=(inputs, _) => inputsTodist(inputs, r => Discrete(Discrete.make(r))),
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),
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],
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(),
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),
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Function.make(
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~name="Declaration",
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@ -75,9 +77,13 @@ let registry = [
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inputs->getOrError(0)->E.R.bind(Declaration.fromExpressionValue)
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}),
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],
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(),
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),
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Function.make(
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~name="Normal",
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~examples=`normal(5,1)
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normal({p5: 4, p95: 10})
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normal({mean: 5, stdev: 2})`,
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~definitions=[
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TwoArgDist.make("normal", twoArgs(SymbolicDist.Normal.make)),
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TwoArgDist.makeRecordP5P95("normal", r =>
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@ -85,9 +91,13 @@ let registry = [
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),
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TwoArgDist.makeRecordMeanStdev("normal", twoArgs(SymbolicDist.Normal.make)),
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],
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(),
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),
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Function.make(
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~name="Lognormal",
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~examples=`lognormal(0.5, 0.8)
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lognormal({p5: 4, p95: 10})
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lognormal({mean: 5, stdev: 2})`,
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~definitions=[
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TwoArgDist.make("lognormal", twoArgs(SymbolicDist.Lognormal.make)),
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TwoArgDist.makeRecordP5P95("lognormal", r =>
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@ -95,29 +105,43 @@ let registry = [
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),
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TwoArgDist.makeRecordMeanStdev("lognormal", twoArgs(SymbolicDist.Lognormal.fromMeanAndStdev)),
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],
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(),
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),
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Function.make(
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~name="Uniform",
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~examples=`uniform(10, 12)`,
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~definitions=[TwoArgDist.make("uniform", twoArgs(SymbolicDist.Uniform.make))],
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(),
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),
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Function.make(
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~name="Beta",
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~examples=`beta(20, 25)`,
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~definitions=[TwoArgDist.make("beta", twoArgs(SymbolicDist.Beta.make))],
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(),
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),
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Function.make(
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~name="Cauchy",
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~examples=`cauchy(5, 1)`,
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~definitions=[TwoArgDist.make("cauchy", twoArgs(SymbolicDist.Cauchy.make))],
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(),
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),
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Function.make(
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~name="Gamma",
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~examples=`gamma(5, 1)`,
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~definitions=[TwoArgDist.make("gamma", twoArgs(SymbolicDist.Gamma.make))],
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(),
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),
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Function.make(
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~name="Logistic",
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~examples=`gamma(5, 1)`,
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~definitions=[TwoArgDist.make("logistic", twoArgs(SymbolicDist.Logistic.make))],
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(),
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),
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Function.make(
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~name="To",
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~name="To (Distribution)",
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~examples=`5 to 10
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to(5,10)
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-5 to 5`,
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~definitions=[
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TwoArgDist.make("to", twoArgs(SymbolicDist.From90thPercentile.make)),
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TwoArgDist.make(
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@ -125,63 +149,149 @@ let registry = [
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twoArgs(SymbolicDist.From90thPercentile.make),
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),
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],
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(),
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),
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Function.make(
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~name="Exponential",
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~examples=`exponential(2)`,
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~definitions=[OneArgDist.make("exponential", SymbolicDist.Exponential.make)],
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(),
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),
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Function.make(
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~name="Bernoulli",
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~examples=`bernoulli(0.5)`,
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~definitions=[OneArgDist.make("bernoulli", SymbolicDist.Bernoulli.make)],
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(),
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),
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Function.make(
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~name="PointMass",
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~examples=`pointMass(0.5)`,
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~definitions=[OneArgDist.make("pointMass", SymbolicDist.Float.makeSafe)],
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(),
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),
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Function.make(
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~name="toContinuousPointSet",
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~description="Converts a set of points to a continuous distribution",
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~examples=`toContinuousPointSet([
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{x: 0, y: 0.1},
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{x: 1, y: 0.2},
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{x: 2, y: 0.15},
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{x: 3, y: 0.1}
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])`,
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~definitions=[
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FnDefinition.make(
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~name="toContinuousPointSet",
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~inputs=[FRTypeArray(FRTypeRecord([("x", FRTypeNumeric), ("y", FRTypeNumeric)]))],
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~run=(inputs, _) => inputsTodist(inputs, r => Continuous(Continuous.make(r))),
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),
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],
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(),
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),
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Function.make(
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~name="toDiscretePointSet",
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~description="Converts a set of points to a discrete distribution",
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~examples=`toDiscretePointSet([
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{x: 0, y: 0.1},
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{x: 1, y: 0.2},
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{x: 2, y: 0.15},
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{x: 3, y: 0.1}
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])`,
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~definitions=[
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FnDefinition.make(
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~name="toDiscretePointSet",
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~inputs=[FRTypeArray(FRTypeRecord([("x", FRTypeNumeric), ("y", FRTypeNumeric)]))],
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~run=(inputs, _) => inputsTodist(inputs, r => Discrete(Discrete.make(r))),
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),
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],
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(),
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),
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Function.make(
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~name="Declaration (Continuous Function)",
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~description="Adds metadata to a function of the input ranges. Works now for numeric and date inputs. This is useful when making predictions. It allows you to limit the domain that your prediction will be used and scored within.",
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~examples=`declareFn({
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fn: {|a,b| a },
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inputs: [
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{min: 0, max: 100},
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{min: 30, max: 50}
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]
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})`,
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~definitions=[
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FnDefinition.make(~name="declareFn", ~inputs=[Declaration.frType], ~run=(inputs, _) => {
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inputs->E.A.unsafe_get(0)->Declaration.fromExpressionValue
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}),
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],
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~isExperimental=true,
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(),
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),
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Function.make(
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~name="Floor",
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~definitions=[NumberToNumber.make("floor", Js.Math.floor_float)],
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(),
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),
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Function.make(
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~name="Ceiling",
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~definitions=[NumberToNumber.make("ceil", Js.Math.ceil_float)],
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(),
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),
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Function.make(~name="Floor", ~definitions=[NumberToNumber.make("floor", Js.Math.floor_float)]),
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Function.make(~name="Ceiling", ~definitions=[NumberToNumber.make("ceil", Js.Math.ceil_float)]),
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Function.make(
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~name="Absolute Value",
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~definitions=[NumberToNumber.make("abs", Js.Math.abs_float)],
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(),
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),
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Function.make(~name="Exponent", ~definitions=[NumberToNumber.make("exp", Js.Math.exp)]),
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Function.make(~name="Log", ~definitions=[NumberToNumber.make("log", Js.Math.log)]),
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Function.make(~name="Log Base 10", ~definitions=[NumberToNumber.make("log10", Js.Math.log10)]),
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Function.make(~name="Log Base 2", ~definitions=[NumberToNumber.make("log2", Js.Math.log2)]),
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Function.make(~name="Round", ~definitions=[NumberToNumber.make("round", Js.Math.round)]),
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Function.make(~name="Exponent", ~definitions=[NumberToNumber.make("exp", Js.Math.exp)], ()),
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Function.make(~name="Log", ~definitions=[NumberToNumber.make("log", Js.Math.log)], ()),
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Function.make(
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~name="Log Base 10",
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~definitions=[NumberToNumber.make("log10", Js.Math.log10)],
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(),
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),
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Function.make(~name="Log Base 2", ~definitions=[NumberToNumber.make("log2", Js.Math.log2)], ()),
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Function.make(~name="Round", ~definitions=[NumberToNumber.make("round", Js.Math.round)], ()),
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Function.make(
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~name="Sum",
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~definitions=[ArrayNumberDist.make("sum", r => r->E.A.Floats.sum->Wrappers.evNumber->Ok)],
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(),
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),
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Function.make(
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~name="Product",
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~definitions=[
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ArrayNumberDist.make("product", r => r->E.A.Floats.product->Wrappers.evNumber->Ok),
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],
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(),
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),
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Function.make(
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~name="Min",
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~definitions=[ArrayNumberDist.make("min", r => r->E.A.Floats.min->Wrappers.evNumber->Ok)],
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(),
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),
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Function.make(
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~name="Max",
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~definitions=[ArrayNumberDist.make("max", r => r->E.A.Floats.max->Wrappers.evNumber->Ok)],
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(),
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),
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Function.make(
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~name="Mean",
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~definitions=[ArrayNumberDist.make("mean", r => r->E.A.Floats.mean->Wrappers.evNumber->Ok)],
|
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(),
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),
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Function.make(
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~name="Geometric Mean",
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~definitions=[
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ArrayNumberDist.make("geomean", r => r->E.A.Floats.geomean->Wrappers.evNumber->Ok),
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],
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||||
(),
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||||
),
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Function.make(
|
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~name="Standard Deviation",
|
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~definitions=[ArrayNumberDist.make("stdev", r => r->E.A.Floats.stdev->Wrappers.evNumber->Ok)],
|
||||
(),
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||||
),
|
||||
Function.make(
|
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~name="Variance",
|
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~definitions=[
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ArrayNumberDist.make("variance", r => r->E.A.Floats.stdev->Wrappers.evNumber->Ok),
|
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],
|
||||
(),
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||||
),
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Function.make(
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~name="First",
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|
@ -190,6 +300,7 @@ let registry = [
|
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r->E.A.first |> E.O.toResult(impossibleError) |> E.R.fmap(Wrappers.evNumber)
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||||
),
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||||
],
|
||||
(),
|
||||
),
|
||||
Function.make(
|
||||
~name="Last",
|
||||
|
@ -198,6 +309,7 @@ let registry = [
|
|||
r->E.A.last |> E.O.toResult(impossibleError) |> E.R.fmap(Wrappers.evNumber)
|
||||
),
|
||||
],
|
||||
(),
|
||||
),
|
||||
Function.make(
|
||||
~name="Sort",
|
||||
|
@ -206,6 +318,7 @@ let registry = [
|
|||
r->E.A.Floats.sort->E.A2.fmap(Wrappers.evNumber)->Wrappers.evArray->Ok
|
||||
),
|
||||
],
|
||||
(),
|
||||
),
|
||||
Function.make(
|
||||
~name="Reverse",
|
||||
|
@ -214,6 +327,7 @@ let registry = [
|
|||
r->Belt_Array.reverse->E.A2.fmap(Wrappers.evNumber)->Wrappers.evArray->Ok
|
||||
),
|
||||
],
|
||||
(),
|
||||
),
|
||||
Function.make(
|
||||
~name="Cumulative Sum",
|
||||
|
@ -222,6 +336,7 @@ let registry = [
|
|||
r->E.A.Floats.cumsum->E.A2.fmap(Wrappers.evNumber)->Wrappers.evArray->Ok
|
||||
),
|
||||
],
|
||||
(),
|
||||
),
|
||||
Function.make(
|
||||
~name="Cumulative Prod",
|
||||
|
@ -230,6 +345,7 @@ let registry = [
|
|||
r->E.A.Floats.cumsum->E.A2.fmap(Wrappers.evNumber)->Wrappers.evArray->Ok
|
||||
),
|
||||
],
|
||||
(),
|
||||
),
|
||||
Function.make(
|
||||
~name="Diff",
|
||||
|
@ -238,6 +354,7 @@ let registry = [
|
|||
r->E.A.Floats.diff->E.A2.fmap(Wrappers.evNumber)->Wrappers.evArray->Ok
|
||||
),
|
||||
],
|
||||
(),
|
||||
),
|
||||
Function.make(
|
||||
~name="Dict.merge",
|
||||
|
@ -259,6 +376,7 @@ let registry = [
|
|||
},
|
||||
),
|
||||
],
|
||||
(),
|
||||
),
|
||||
//TODO: Make sure that two functions can't have the same name. This causes chaos elsewhere.
|
||||
Function.make(
|
||||
|
@ -275,6 +393,7 @@ let registry = [
|
|||
->E.R2.fmap(Wrappers.evRecord)
|
||||
),
|
||||
],
|
||||
(),
|
||||
),
|
||||
Function.make(
|
||||
~name="Dict.keys",
|
||||
|
@ -286,6 +405,7 @@ let registry = [
|
|||
}
|
||||
),
|
||||
],
|
||||
(),
|
||||
),
|
||||
Function.make(
|
||||
~name="Dict.values",
|
||||
|
@ -301,6 +421,7 @@ let registry = [
|
|||
}
|
||||
),
|
||||
],
|
||||
(),
|
||||
),
|
||||
Function.make(
|
||||
~name="Dict.toList",
|
||||
|
@ -322,6 +443,7 @@ let registry = [
|
|||
}
|
||||
),
|
||||
],
|
||||
(),
|
||||
),
|
||||
Function.make(
|
||||
~name="Dict.fromList",
|
||||
|
@ -346,6 +468,7 @@ let registry = [
|
|||
|> E.R2.bind(convertInternalItems)
|
||||
}),
|
||||
],
|
||||
(),
|
||||
),
|
||||
Function.make(
|
||||
~name="List.make",
|
||||
|
@ -362,6 +485,7 @@ let registry = [
|
|||
}
|
||||
}),
|
||||
],
|
||||
(),
|
||||
),
|
||||
Function.make(
|
||||
~name="upTo",
|
||||
|
@ -376,5 +500,6 @@ let registry = [
|
|||
)
|
||||
),
|
||||
],
|
||||
(),
|
||||
),
|
||||
]
|
||||
|
|
|
@ -282,12 +282,12 @@ let callInternal = (call: functionCall, environment, reducer: ExpressionT.reduce
|
|||
| ("$_typeModifier_opaque_$", [EvRecord(typeRecord)]) => typeModifier_opaque_update(typeRecord)
|
||||
| ("$_typeOr_$", [EvArray(arr)]) => typeOr(EvArray(arr))
|
||||
| ("$_typeFunction_$", [EvArray(arr)]) => typeFunction(arr)
|
||||
| ("add", [EvArray(aValueArray), EvArray(bValueArray)]) => doAddArray(aValueArray, bValueArray)
|
||||
| ("add", [EvString(aValueString), EvString(bValueString)]) =>
|
||||
| ("concat", [EvArray(aValueArray), EvArray(bValueArray)]) => doAddArray(aValueArray, bValueArray)
|
||||
| ("concat", [EvString(aValueString), EvString(bValueString)]) =>
|
||||
doAddString(aValueString, bValueString)
|
||||
| ("inspect", [value, EvString(label)]) => inspectLabel(value, label)
|
||||
| ("inspect", [value]) => inspect(value)
|
||||
| ("keep", [EvArray(aValueArray), EvLambda(aLambdaValue)]) =>
|
||||
| ("filter", [EvArray(aValueArray), EvLambda(aLambdaValue)]) =>
|
||||
doKeepArray(aValueArray, aLambdaValue)
|
||||
| ("map", [EvArray(aValueArray), EvLambda(aLambdaValue)]) => doMapArray(aValueArray, aLambdaValue)
|
||||
| ("mapSamples", [EvDistribution(SampleSet(dist)), EvLambda(aLambdaValue)]) =>
|
||||
|
|
|
@ -27,6 +27,7 @@ let dispatch = (call: EV.functionCall, _: DistributionOperation.env): option<
|
|||
EV.EvTimeDuration(DateTime.Duration.multiply(d1, d2))->Ok->Some
|
||||
| ("divide", [EvTimeDuration(d1), EvNumber(d2)]) =>
|
||||
EV.EvTimeDuration(DateTime.Duration.divide(d1, d2))->Ok->Some
|
||||
| ("divide", [EvTimeDuration(d1), EvTimeDuration(d2)]) => EV.EvNumber(d1 /. d2)->Ok->Some
|
||||
| _ => None
|
||||
}
|
||||
}
|
||||
|
|
|
@ -200,8 +200,6 @@ let dispatchToGenericOutput = (
|
|||
): option<DistributionOperation.outputType> => {
|
||||
let (fnName, args) = call
|
||||
switch (fnName, args) {
|
||||
| ("delta", [EvNumber(f)]) =>
|
||||
SymbolicDist.Float.makeSafe(f)->SymbolicConstructors.symbolicResultToOutput
|
||||
| ("triangular" as fnName, [EvNumber(f1), EvNumber(f2), EvNumber(f3)]) =>
|
||||
SymbolicConstructors.threeFloat(fnName)
|
||||
->E.R.bind(r => r(f1, f2, f3))
|
||||
|
@ -279,8 +277,7 @@ let dispatchToGenericOutput = (
|
|||
Helpers.toDistFn(ToSampleSet(Belt.Int.fromFloat(float)), dist, ~env)
|
||||
| ("toSampleSet", [EvDistribution(dist)]) =>
|
||||
Helpers.toDistFn(ToSampleSet(env.sampleCount), dist, ~env)
|
||||
| ("toInternalSampleArray", [EvDistribution(SampleSet(dist))]) =>
|
||||
Some(FloatArray(SampleSetDist.T.get(dist)))
|
||||
| ("toList", [EvDistribution(SampleSet(dist))]) => Some(FloatArray(SampleSetDist.T.get(dist)))
|
||||
| ("fromSamples", [EvArray(inputArray)]) => {
|
||||
let _wrapInputErrors = x => SampleSetDist.NonNumericInput(x)
|
||||
let parsedArray = Helpers.parseNumberArray(inputArray)->E.R2.errMap(_wrapInputErrors)
|
||||
|
|
42
packages/website/docs/Api/Date.md
Normal file
42
packages/website/docs/Api/Date.md
Normal file
|
@ -0,0 +1,42 @@
|
|||
---
|
||||
sidebar_position: 1
|
||||
title: Date
|
||||
---
|
||||
|
||||
### makeFromYear
|
||||
|
||||
```
|
||||
Date.makeFromYear: (number) => date
|
||||
```
|
||||
|
||||
```js
|
||||
makeFromYear(2022.32);
|
||||
```
|
||||
|
||||
### toString
|
||||
|
||||
```
|
||||
toString: (date) => string
|
||||
```
|
||||
|
||||
### subtract
|
||||
|
||||
```
|
||||
subtract: (date, date) => duration
|
||||
subtract: (date, duration) => date
|
||||
```
|
||||
|
||||
```js
|
||||
makeFromYear(2040) - makeFromYear(2020); // 20 years
|
||||
makeFromYear(2040) - years(20); // 2020
|
||||
```
|
||||
|
||||
### add
|
||||
|
||||
```
|
||||
add: (date, duration) => date
|
||||
```
|
||||
|
||||
```js
|
||||
makeFromYear(2022.32) + years(5);
|
||||
```
|
71
packages/website/docs/Api/Dictionary.md
Normal file
71
packages/website/docs/Api/Dictionary.md
Normal file
|
@ -0,0 +1,71 @@
|
|||
---
|
||||
sidebar_position: 2
|
||||
title: Dictionary
|
||||
---
|
||||
|
||||
### toList
|
||||
|
||||
```
|
||||
Dict.toList: (dict<'a>) => list<list<string|a>>
|
||||
```
|
||||
|
||||
```js
|
||||
Dict.toList({ foo: 3, bar: 20 }); // [["foo", 3], ["bar", 20]]
|
||||
```
|
||||
|
||||
### fromList
|
||||
|
||||
```
|
||||
Dict.fromList: (list<list<string|'a>>) => dict<'a>
|
||||
```
|
||||
|
||||
```js
|
||||
Dict.fromList([
|
||||
["foo", 3],
|
||||
["bar", 20],
|
||||
]); // {foo: 3, bar: 20}
|
||||
```
|
||||
|
||||
### keys
|
||||
|
||||
```
|
||||
Dict.keys: (dict<'a>) => list<string>
|
||||
```
|
||||
|
||||
```js
|
||||
Dict.keys({ foo: 3, bar: 20 }); // ["foo", "bar"]
|
||||
```
|
||||
|
||||
### values
|
||||
|
||||
```
|
||||
Dict.values: (dict<'a>) => list<'a>
|
||||
```
|
||||
|
||||
```js
|
||||
Dict.values({ foo: 3, bar: 20 }); // [3, 20]
|
||||
```
|
||||
|
||||
### merge
|
||||
|
||||
```
|
||||
Dict.merge: (dict<'a>, dict<'b>) => dict<'a|b>
|
||||
```
|
||||
|
||||
```js
|
||||
first = { a: 1, b: 2 };
|
||||
snd = { b: 3, c: 5 };
|
||||
Dict.merge(first, snd); // {a: 1, b: 3, c: 5}
|
||||
```
|
||||
|
||||
### mergeMany
|
||||
|
||||
```
|
||||
Dict.mergeMany: (list<dict<'a>>) => dict<'a>
|
||||
```
|
||||
|
||||
```js
|
||||
first = { a: 1, b: 2 };
|
||||
snd = { b: 3, c: 5 };
|
||||
Dict.mergeMany([first, snd]); // {a: 1, b: 3, c: 5}
|
||||
```
|
647
packages/website/docs/Api/DistGeneric.mdx
Normal file
647
packages/website/docs/Api/DistGeneric.mdx
Normal file
|
@ -0,0 +1,647 @@
|
|||
---
|
||||
sidebar_position: 3
|
||||
title: Distribution
|
||||
---
|
||||
|
||||
import TOCInline from "@theme/TOCInline";
|
||||
|
||||
<TOCInline toc={toc} />
|
||||
|
||||
## Distribution Creation
|
||||
|
||||
### Normal Distribution
|
||||
|
||||
**Definitions**
|
||||
|
||||
```javascript
|
||||
normal: (frValueDistOrNumber, frValueDistOrNumber) => distribution;
|
||||
```
|
||||
|
||||
```javascript
|
||||
normal: (dict<{p5: frValueDistOrNumber, p95: frValueDistOrNumber}>) => distribution
|
||||
```
|
||||
|
||||
```javascript
|
||||
normal: (dict<{mean: frValueDistOrNumber, stdev: frValueDistOrNumber}>) => distribution
|
||||
```
|
||||
|
||||
**Examples**
|
||||
|
||||
```js
|
||||
normal(5, 1);
|
||||
normal({ p5: 4, p95: 10 });
|
||||
normal({ mean: 5, stdev: 2 });
|
||||
```
|
||||
|
||||
### Lognormal Distribution
|
||||
|
||||
**Definitions**
|
||||
|
||||
```javascript
|
||||
lognormal: (frValueDistOrNumber, frValueDistOrNumber) => distribution;
|
||||
```
|
||||
|
||||
```javascript
|
||||
lognormal: (dict<{p5: frValueDistOrNumber, p95: frValueDistOrNumber}>) => distribution
|
||||
```
|
||||
|
||||
```javascript
|
||||
lognormal: (dict<{mean: frValueDistOrNumber, stdev: frValueDistOrNumber}>) => distribution
|
||||
```
|
||||
|
||||
**Examples**
|
||||
|
||||
```javascript
|
||||
lognormal(0.5, 0.8);
|
||||
lognormal({ p5: 4, p95: 10 });
|
||||
lognormal({ mean: 5, stdev: 2 });
|
||||
```
|
||||
|
||||
### Uniform Distribution
|
||||
|
||||
**Definitions**
|
||||
|
||||
```javascript
|
||||
uniform: (frValueDistOrNumber, frValueDistOrNumber) => distribution;
|
||||
```
|
||||
|
||||
**Examples**
|
||||
|
||||
```javascript
|
||||
uniform(10, 12);
|
||||
```
|
||||
|
||||
### Beta Distribution
|
||||
|
||||
**Definitions**
|
||||
|
||||
```javascript
|
||||
beta: (frValueDistOrNumber, frValueDistOrNumber) => distribution;
|
||||
```
|
||||
|
||||
**Examples**
|
||||
|
||||
```javascript
|
||||
beta(20, 25);
|
||||
```
|
||||
|
||||
### Cauchy Distribution
|
||||
|
||||
**Definitions**
|
||||
|
||||
```javascript
|
||||
cauchy: (frValueDistOrNumber, frValueDistOrNumber) => distribution;
|
||||
```
|
||||
|
||||
**Examples**
|
||||
|
||||
```javascript
|
||||
cauchy(5, 1);
|
||||
```
|
||||
|
||||
### Gamma Distribution
|
||||
|
||||
**Definitions**
|
||||
|
||||
```javascript
|
||||
gamma: (frValueDistOrNumber, frValueDistOrNumber) => distribution;
|
||||
```
|
||||
|
||||
**Examples**
|
||||
|
||||
```javascript
|
||||
gamma(5, 1);
|
||||
```
|
||||
|
||||
### Logistic Distribution
|
||||
|
||||
**Definitions**
|
||||
|
||||
```javascript
|
||||
logistic: (frValueDistOrNumber, frValueDistOrNumber) => distribution;
|
||||
```
|
||||
|
||||
**Examples**
|
||||
|
||||
```javascript
|
||||
gamma(5, 1);
|
||||
```
|
||||
|
||||
### To (Distribution)
|
||||
|
||||
**Definitions**
|
||||
|
||||
```javascript
|
||||
to: (frValueDistOrNumber, frValueDistOrNumber) => distribution;
|
||||
```
|
||||
|
||||
```javascript
|
||||
credibleIntervalToDistribution(frValueDistOrNumber, frValueDistOrNumber) => distribution;
|
||||
```
|
||||
|
||||
**Examples**
|
||||
|
||||
```javascript
|
||||
5 to 10
|
||||
to(5,10)
|
||||
-5 to 5
|
||||
```
|
||||
|
||||
### Exponential
|
||||
|
||||
**Definitions**
|
||||
|
||||
```javascript
|
||||
exponential: (frValueDistOrNumber) => distribution;
|
||||
```
|
||||
|
||||
**Examples**
|
||||
|
||||
```javascript
|
||||
exponential(2);
|
||||
```
|
||||
|
||||
### Bernoulli
|
||||
|
||||
**Definitions**
|
||||
|
||||
```javascript
|
||||
bernoulli: (frValueDistOrNumber) => distribution;
|
||||
```
|
||||
|
||||
**Examples**
|
||||
|
||||
```javascript
|
||||
bernoulli(0.5);
|
||||
```
|
||||
|
||||
### toContinuousPointSet
|
||||
|
||||
Converts a set of points to a continuous distribution
|
||||
|
||||
**Definitions**
|
||||
|
||||
```javascript
|
||||
toContinuousPointSet: (array<dict<{x: numeric, y: numeric}>>) => distribution
|
||||
```
|
||||
|
||||
**Examples**
|
||||
|
||||
```javascript
|
||||
toContinuousPointSet([
|
||||
{ x: 0, y: 0.1 },
|
||||
{ x: 1, y: 0.2 },
|
||||
{ x: 2, y: 0.15 },
|
||||
{ x: 3, y: 0.1 },
|
||||
]);
|
||||
```
|
||||
|
||||
### toDiscretePointSet
|
||||
|
||||
Converts a set of points to a discrete distribution
|
||||
|
||||
**Definitions**
|
||||
|
||||
```javascript
|
||||
toDiscretePointSet: (array<dict<{x: numeric, y: numeric}>>) => distribution
|
||||
```
|
||||
|
||||
**Examples**
|
||||
|
||||
```javascript
|
||||
toDiscretePointSet([
|
||||
{ x: 0, y: 0.1 },
|
||||
{ x: 1, y: 0.2 },
|
||||
{ x: 2, y: 0.15 },
|
||||
{ x: 3, y: 0.1 },
|
||||
]);
|
||||
```
|
||||
|
||||
## Functions
|
||||
|
||||
### mixture
|
||||
|
||||
```javascript
|
||||
mixture: (...distributionLike, weights:list<float>) => distribution
|
||||
```
|
||||
|
||||
**Examples**
|
||||
|
||||
```javascript
|
||||
mixture(normal(5, 1), normal(10, 1));
|
||||
mx(normal(5, 1), normal(10, 1), [0.3, 0.7]);
|
||||
```
|
||||
|
||||
### sample
|
||||
|
||||
Get one random sample from the distribution
|
||||
|
||||
```javascript
|
||||
sample(distribution) => number
|
||||
```
|
||||
|
||||
**Examples**
|
||||
|
||||
```javascript
|
||||
sample(normal(5, 2));
|
||||
```
|
||||
|
||||
### sampleN
|
||||
|
||||
Get n random samples from the distribution
|
||||
|
||||
```javascript
|
||||
sampleN: (distribution, number) => list<number>
|
||||
```
|
||||
|
||||
**Examples**
|
||||
|
||||
```javascript
|
||||
sample: normal(5, 2), 100;
|
||||
```
|
||||
|
||||
### mean
|
||||
|
||||
Get the distribution mean
|
||||
|
||||
```javascript
|
||||
mean: (distribution) => number;
|
||||
```
|
||||
|
||||
**Examples**
|
||||
|
||||
```javascript
|
||||
mean: normal(5, 2);
|
||||
```
|
||||
|
||||
### stdev
|
||||
|
||||
```javascript
|
||||
stdev: (distribution) => number;
|
||||
```
|
||||
|
||||
### variance
|
||||
|
||||
```javascript
|
||||
variance: (distribution) => number;
|
||||
```
|
||||
|
||||
### mode
|
||||
|
||||
```javascript
|
||||
mode: (distribution) => number;
|
||||
```
|
||||
|
||||
### cdf
|
||||
|
||||
```javascript
|
||||
cdf: (distribution, number) => number;
|
||||
```
|
||||
|
||||
**Examples**
|
||||
|
||||
```javascript
|
||||
cdf: normal(5, 2), 3;
|
||||
```
|
||||
|
||||
### pdf
|
||||
|
||||
```javascript
|
||||
pdf: (distribution, number) => number;
|
||||
```
|
||||
|
||||
**Examples**
|
||||
|
||||
```javascript
|
||||
pdf(normal(5, 2), 3);
|
||||
```
|
||||
|
||||
### inv
|
||||
|
||||
```javascript
|
||||
inv: (distribution, number) => number;
|
||||
```
|
||||
|
||||
**Examples**
|
||||
|
||||
```javascript
|
||||
inv(normal(5, 2), 0.5);
|
||||
```
|
||||
|
||||
### toPointSet
|
||||
|
||||
Converts a distribution to the pointSet format
|
||||
|
||||
```javascript
|
||||
toPointSet: (distribution) => pointSetDistribution;
|
||||
```
|
||||
|
||||
**Examples**
|
||||
|
||||
```javascript
|
||||
toPointSet(normal(5, 2));
|
||||
```
|
||||
|
||||
### toSampleSet
|
||||
|
||||
Converts a distribution to the sampleSet format, with n samples
|
||||
|
||||
```javascript
|
||||
toSampleSet: (distribution, number) => sampleSetDistribution;
|
||||
```
|
||||
|
||||
**Examples**
|
||||
|
||||
```javascript
|
||||
toSampleSet(normal(5, 2), 1000);
|
||||
```
|
||||
|
||||
### truncateLeft
|
||||
|
||||
Truncates the left side of a distribution. Returns either a pointSet distribution or a symbolic distribution.
|
||||
|
||||
```javascript
|
||||
truncateLeft: (distribution, l => number) => distribution
|
||||
```
|
||||
|
||||
**Examples**
|
||||
|
||||
```javascript
|
||||
truncateLeft(normal(5, 2), 3);
|
||||
```
|
||||
|
||||
### truncateRight
|
||||
|
||||
Truncates the right side of a distribution. Returns either a pointSet distribution or a symbolic distribution.
|
||||
|
||||
```javascript
|
||||
truncateRight: (distribution, r => number) => distribution
|
||||
```
|
||||
|
||||
**Examples**
|
||||
|
||||
```javascript
|
||||
truncateLeft(normal(5, 2), 6);
|
||||
```
|
||||
|
||||
## Scoring
|
||||
|
||||
### klDivergence
|
||||
|
||||
Kullback–Leibler divergence between two distributions
|
||||
|
||||
```javascript
|
||||
klDivergence: (distribution, distribution) => number;
|
||||
```
|
||||
|
||||
**Examples**
|
||||
|
||||
```javascript
|
||||
klDivergence(normal(5, 2), normal(5, 4)); // returns 0.57
|
||||
```
|
||||
|
||||
## Display
|
||||
|
||||
### toString
|
||||
|
||||
```javascript
|
||||
toString: (distribution) => string;
|
||||
```
|
||||
|
||||
**Examples**
|
||||
|
||||
```javascript
|
||||
toString(normal(5, 2));
|
||||
```
|
||||
|
||||
### toSparkline
|
||||
|
||||
Produce a sparkline of length n
|
||||
|
||||
```javascript
|
||||
toSparkline: (distribution, n = 20) => string;
|
||||
```
|
||||
|
||||
**Examples**
|
||||
|
||||
```javascript
|
||||
toSparkline(normal(5, 2), 10);
|
||||
```
|
||||
|
||||
### inspect
|
||||
|
||||
Prints the value of the distribution to the Javascript console, then returns the distribution.
|
||||
|
||||
```javascript
|
||||
inspect: (distribution) => distribution;
|
||||
```
|
||||
|
||||
**Examples**
|
||||
|
||||
```javascript
|
||||
inspect(normal(5, 2));
|
||||
```
|
||||
|
||||
## Normalization
|
||||
|
||||
### normalize
|
||||
|
||||
Normalize a distribution. This means scaling it appropriately so that it's cumulative sum is equal to 1.
|
||||
|
||||
```javascript
|
||||
normalize: (distribution) => distribution;
|
||||
```
|
||||
|
||||
**Examples**
|
||||
|
||||
```javascript
|
||||
normalize(normal(5, 2));
|
||||
```
|
||||
|
||||
### isNormalized
|
||||
|
||||
Check of a distribution is normalized. Most distributions are typically normalized, but there are some commands that could produce non-normalized distributions.
|
||||
|
||||
```javascript
|
||||
isNormalized: (distribution) => bool;
|
||||
```
|
||||
|
||||
**Examples**
|
||||
|
||||
```javascript
|
||||
isNormalized(normal(5, 2)); // returns true
|
||||
```
|
||||
|
||||
### integralSum
|
||||
|
||||
Get the sum of the integral of a distribution. If the distribution is normalized, this will be 1.
|
||||
|
||||
```javascript
|
||||
integralSum: (distribution) => number;
|
||||
```
|
||||
|
||||
**Examples**
|
||||
|
||||
```javascript
|
||||
integralSum(normal(5, 2));
|
||||
```
|
||||
|
||||
## Algebraic Operations
|
||||
|
||||
### add
|
||||
|
||||
```javascript
|
||||
add: (distributionLike, distributionLike) => distribution;
|
||||
```
|
||||
|
||||
### sum
|
||||
|
||||
```javascript
|
||||
sum: (list<distributionLike>) => distribution
|
||||
```
|
||||
|
||||
### multiply
|
||||
|
||||
```javascript
|
||||
multiply: (distributionLike, distributionLike) => distribution;
|
||||
```
|
||||
|
||||
### product
|
||||
|
||||
```javascript
|
||||
product: (list<distributionLike>) => distribution
|
||||
```
|
||||
|
||||
### subtract
|
||||
|
||||
```javascript
|
||||
subtract: (distributionLike, distributionLike) => distribution;
|
||||
```
|
||||
|
||||
### divide
|
||||
|
||||
```javascript
|
||||
divide: (distributionLike, distributionLike) => distribution;
|
||||
```
|
||||
|
||||
### pow
|
||||
|
||||
```javascript
|
||||
pow: (distributionLike, distributionLike) => distribution;
|
||||
```
|
||||
|
||||
### exp
|
||||
|
||||
```javascript
|
||||
exp: (distributionLike, distributionLike) => distribution;
|
||||
```
|
||||
|
||||
### log
|
||||
|
||||
```javascript
|
||||
log: (distributionLike, distributionLike) => distribution;
|
||||
```
|
||||
|
||||
### log10
|
||||
|
||||
```javascript
|
||||
log10: (distributionLike, distributionLike) => distribution;
|
||||
```
|
||||
|
||||
### unaryMinus
|
||||
|
||||
```javascript
|
||||
unaryMinus: (distribution) => distribution;
|
||||
```
|
||||
|
||||
## Pointwise Operations
|
||||
|
||||
### dotAdd
|
||||
|
||||
```javascript
|
||||
dotAdd: (distributionLike, distributionLike) => distribution;
|
||||
```
|
||||
|
||||
### dotMultiply
|
||||
|
||||
```javascript
|
||||
dotMultiply: (distributionLike, distributionLike) => distribution;
|
||||
```
|
||||
|
||||
### dotSubtract
|
||||
|
||||
```javascript
|
||||
dotSubtract: (distributionLike, distributionLike) => distribution;
|
||||
```
|
||||
|
||||
### dotDivide
|
||||
|
||||
```javascript
|
||||
dotDivide: (distributionLike, distributionLike) => distribution;
|
||||
```
|
||||
|
||||
### dotPow
|
||||
|
||||
```javascript
|
||||
dotPow: (distributionLike, distributionLike) => distribution;
|
||||
```
|
||||
|
||||
### dotExp
|
||||
|
||||
```javascript
|
||||
dotExp: (distributionLike, distributionLike) => distribution;
|
||||
```
|
||||
|
||||
## Scale Operations
|
||||
|
||||
### scaleMultiply
|
||||
|
||||
```javascript
|
||||
scaleMultiply: (distributionLike, number) => distribution;
|
||||
```
|
||||
|
||||
### scalePow
|
||||
|
||||
```javascript
|
||||
scalePow: (distributionLike, number) => distribution;
|
||||
```
|
||||
|
||||
### scaleExp
|
||||
|
||||
```javascript
|
||||
scaleExp: (distributionLike, number) => distribution;
|
||||
```
|
||||
|
||||
### scaleLog
|
||||
|
||||
```javascript
|
||||
scaleLog: (distributionLike, number) => distribution;
|
||||
```
|
||||
|
||||
### scaleLog10
|
||||
|
||||
```javascript
|
||||
scaleLog10: (distributionLike, number) => distribution;
|
||||
```
|
||||
|
||||
## Special
|
||||
|
||||
### Declaration (Continuous Function)
|
||||
|
||||
Adds metadata to a function of the input ranges. Works now for numeric and date inputs. This is useful when making predictions. It allows you to limit the domain that your prediction will be used and scored within.
|
||||
|
||||
```javascript
|
||||
declareFn: (dict<{fn: lambda, inputs: array<dict<{min: number, max: number}>>}>) => declaration
|
||||
```
|
||||
|
||||
**Examples**
|
||||
|
||||
```javascript
|
||||
declareFn({
|
||||
fn: {|a,b| a },
|
||||
inputs: [
|
||||
{min: 0, max: 100},
|
||||
{min: 30, max: 50}
|
||||
]
|
||||
})
|
||||
```
|
22
packages/website/docs/Api/DistPointSet.md
Normal file
22
packages/website/docs/Api/DistPointSet.md
Normal file
|
@ -0,0 +1,22 @@
|
|||
---
|
||||
sidebar_position: 4
|
||||
title: Point Set Distribution
|
||||
---
|
||||
|
||||
### make
|
||||
|
||||
```
|
||||
PointSet.make: (distribution) => pointSetDist
|
||||
```
|
||||
|
||||
### makeContinuous
|
||||
|
||||
```
|
||||
PointSet.makeContinuous: (list<{x: number, y: number}>) => pointSetDist
|
||||
```
|
||||
|
||||
### makeDiscrete
|
||||
|
||||
```
|
||||
PointSet.makeDiscrete: (list<{x: number, y: number}>) => pointSetDist
|
||||
```
|
44
packages/website/docs/Api/DistSampleSet.md
Normal file
44
packages/website/docs/Api/DistSampleSet.md
Normal file
|
@ -0,0 +1,44 @@
|
|||
---
|
||||
sidebar_position: 5
|
||||
title: Sample Set Distribution
|
||||
---
|
||||
|
||||
### make
|
||||
|
||||
```
|
||||
SampleSet.make: (distribution) => sampleSet
|
||||
SampleSet.make: (() => number) => sampleSet
|
||||
SampleSet.make: (list<number>) => sampleSet
|
||||
```
|
||||
|
||||
### map
|
||||
|
||||
```
|
||||
SampleSet.map: (sampleSet, (number => number)) => sampleSet
|
||||
```
|
||||
|
||||
### map2
|
||||
|
||||
```
|
||||
SampleSet.map2: (sampleSet, sampleSet, ((number, number) => number)) => sampleSet
|
||||
```
|
||||
|
||||
### map3
|
||||
|
||||
```
|
||||
SampleSet.map3: (sampleSet, sampleSet, sampleSet, ((number, number, number) => number)) => sampleSet
|
||||
```
|
||||
|
||||
### toList
|
||||
|
||||
```
|
||||
SampleSet.toList: (sampleSet) => list<number>
|
||||
```
|
||||
|
||||
Gets the internal samples of a sampleSet distribution. This is separate from the sampleN() function, which would shuffle the samples. toList() maintains order and length. Gets the internal samples of a sampleSet distribution. This is separate from the sampleN() function, which would shuffle the samples. toList() maintains order and length.
|
||||
|
||||
**Examples**
|
||||
|
||||
```
|
||||
toList(toSampleSet(normal(5,2)))
|
||||
```
|
90
packages/website/docs/Api/Duration.mdx
Normal file
90
packages/website/docs/Api/Duration.mdx
Normal file
|
@ -0,0 +1,90 @@
|
|||
---
|
||||
sidebar_position: 6
|
||||
title: Duration
|
||||
---
|
||||
|
||||
import TOCInline from "@theme/TOCInline";
|
||||
|
||||
<TOCInline toc={toc} />
|
||||
|
||||
### toString
|
||||
|
||||
```
|
||||
toString: (duration) => string
|
||||
```
|
||||
|
||||
## Units
|
||||
|
||||
### minutes
|
||||
|
||||
```
|
||||
minutes: (number) => duration
|
||||
```
|
||||
|
||||
### hours
|
||||
|
||||
```
|
||||
hours: (number) => duration
|
||||
```
|
||||
|
||||
### days
|
||||
|
||||
```
|
||||
days: (number) => duration
|
||||
```
|
||||
|
||||
### years
|
||||
|
||||
```
|
||||
years: (number) => duration
|
||||
```
|
||||
|
||||
### toHours
|
||||
|
||||
```
|
||||
toHours: (duration) => number
|
||||
```
|
||||
|
||||
### toMinutes
|
||||
|
||||
```
|
||||
toMinutes: (duration) => number
|
||||
```
|
||||
|
||||
### toDays
|
||||
|
||||
```
|
||||
toDays: (duration) => number
|
||||
```
|
||||
|
||||
### toYears
|
||||
|
||||
```
|
||||
toYears: (duration) => number
|
||||
```
|
||||
|
||||
## Algebra
|
||||
|
||||
### add
|
||||
|
||||
```
|
||||
add: (duration, duration) => duration
|
||||
```
|
||||
|
||||
### subtract
|
||||
|
||||
```
|
||||
subtract: (duration, duration) => duration
|
||||
```
|
||||
|
||||
### multiply
|
||||
|
||||
```
|
||||
multiply: (duration, number) => duration
|
||||
```
|
||||
|
||||
### divide
|
||||
|
||||
```
|
||||
divide: (duration, number) => duration
|
||||
```
|
94
packages/website/docs/Api/List.md
Normal file
94
packages/website/docs/Api/List.md
Normal file
|
@ -0,0 +1,94 @@
|
|||
---
|
||||
sidebar_position: 7
|
||||
title: List
|
||||
---
|
||||
|
||||
### make
|
||||
|
||||
```
|
||||
List.make: (number, 'a) => list<'a>
|
||||
```
|
||||
|
||||
Returns an array of size `n` filled with value `e`.
|
||||
|
||||
```js
|
||||
List.make(4, 1); // creates the list [1, 1, 1, 1]
|
||||
```
|
||||
|
||||
See [Rescript implementation](https://rescript-lang.org/docs/manual/latest/api/belt/array#make)
|
||||
|
||||
### toString
|
||||
|
||||
```
|
||||
toString: (list<'a>) => string
|
||||
```
|
||||
|
||||
### length
|
||||
|
||||
```
|
||||
length: (list<'a>) => number
|
||||
```
|
||||
|
||||
### up to
|
||||
|
||||
```
|
||||
List.upTo: (low:number, high:number) => list<number>
|
||||
```
|
||||
|
||||
```js
|
||||
List.upTo(0, 5); // creates the list [0, 1, 2, 3, 4, 5]
|
||||
```
|
||||
|
||||
Syntax taken from [Ruby](https://apidock.com/ruby/v2_5_5/Integer/upto).
|
||||
|
||||
### first
|
||||
|
||||
```
|
||||
first: (list<'a>) => 'a
|
||||
```
|
||||
|
||||
### last
|
||||
|
||||
```
|
||||
last: (list<'a>) => 'a
|
||||
```
|
||||
|
||||
### reverse
|
||||
|
||||
```
|
||||
reverse: (list<'a>) => list<'a>
|
||||
```
|
||||
|
||||
### map
|
||||
|
||||
```
|
||||
map: (list<'a>, a => b) => list<'b>
|
||||
```
|
||||
|
||||
See [Rescript implementation](https://rescript-lang.org/docs/manual/latest/api/belt/array#map).
|
||||
|
||||
### reduce
|
||||
|
||||
```
|
||||
reduce: (list<'b>, 'a, ('a, 'b) => 'a) => 'a
|
||||
```
|
||||
|
||||
`reduce(arr, init, f)`
|
||||
|
||||
Applies `f` to each element of `arr`. The function `f` has two paramaters, an accumulator and the next value from the array.
|
||||
|
||||
```js
|
||||
reduce([2, 3, 4], 1, {|acc, value| acc + value}) == 10
|
||||
```
|
||||
|
||||
See [Rescript implementation](https://rescript-lang.org/docs/manual/latest/api/belt/array#reduce).
|
||||
|
||||
### reduce reverse
|
||||
|
||||
```
|
||||
reduceReverse: (list<'b>, 'a, ('a, 'b) => 'a) => 'a
|
||||
```
|
||||
|
||||
Works like `reduce`, but the function is applied to each item from the last back to the first.
|
||||
|
||||
See [Rescript implementation](https://rescript-lang.org/docs/manual/latest/api/belt/array#reducereverse).
|
84
packages/website/docs/Api/Math.md
Normal file
84
packages/website/docs/Api/Math.md
Normal file
|
@ -0,0 +1,84 @@
|
|||
---
|
||||
sidebar_position: 8
|
||||
title: Math
|
||||
---
|
||||
|
||||
### E
|
||||
|
||||
```
|
||||
Math.E:
|
||||
```
|
||||
|
||||
Euler's number; ≈ 2.718281828459045
|
||||
|
||||
### LN2
|
||||
|
||||
```
|
||||
Math.LN2:
|
||||
```
|
||||
|
||||
Natural logarithm of 2; ≈ 0.6931471805599453
|
||||
|
||||
### LN10
|
||||
|
||||
```
|
||||
Math.LN10:
|
||||
```
|
||||
|
||||
Natural logarithm of 10; ≈ 2.302585092994046
|
||||
|
||||
### LOG2E
|
||||
|
||||
```
|
||||
Math.LOG2E:
|
||||
```
|
||||
|
||||
Base 2 logarithm of E; ≈ 1.4426950408889634Base 2 logarithm of E; ≈ 1.4426950408889634
|
||||
|
||||
### LOG10E
|
||||
|
||||
```
|
||||
Math.LOG10E:
|
||||
```
|
||||
|
||||
Base 10 logarithm of E; ≈ 0.4342944819032518
|
||||
|
||||
### PI
|
||||
|
||||
```
|
||||
Math.PI:
|
||||
```
|
||||
|
||||
Pi - ratio of the circumference to the diameter of a circle; ≈ 3.141592653589793
|
||||
|
||||
### SQRT1_2
|
||||
|
||||
```
|
||||
Math.SQRT1_2:
|
||||
```
|
||||
|
||||
Square root of 1/2; ≈ 0.7071067811865476
|
||||
|
||||
### SQRT2
|
||||
|
||||
```
|
||||
Math.SQRT2:
|
||||
```
|
||||
|
||||
Square root of 2; ≈ 1.4142135623730951
|
||||
|
||||
### PHI
|
||||
|
||||
```
|
||||
Math.PHI:
|
||||
```
|
||||
|
||||
Phi is the golden ratio. 1.618033988749895
|
||||
|
||||
### TAU
|
||||
|
||||
```
|
||||
Math.TAU:
|
||||
```
|
||||
|
||||
Tau is the ratio constant of a circle's circumference to radius, equal to 2 \* pi. 6.283185307179586
|
144
packages/website/docs/Api/Number.mdx
Normal file
144
packages/website/docs/Api/Number.mdx
Normal file
|
@ -0,0 +1,144 @@
|
|||
---
|
||||
sidebar_position: 9
|
||||
title: Number
|
||||
---
|
||||
|
||||
import TOCInline from "@theme/TOCInline";
|
||||
|
||||
<TOCInline toc={toc} />
|
||||
|
||||
### ceil
|
||||
|
||||
```javascript
|
||||
ceil: (number) => number;
|
||||
```
|
||||
|
||||
### floor
|
||||
|
||||
```javascript
|
||||
floor: (number) => number;
|
||||
```
|
||||
|
||||
### abs
|
||||
|
||||
```javascript
|
||||
abs: (number) => number;
|
||||
```
|
||||
|
||||
### round
|
||||
|
||||
```javascript
|
||||
round: (number) => number;
|
||||
```
|
||||
|
||||
## Statistics
|
||||
|
||||
### max
|
||||
|
||||
```javascript
|
||||
max: (list<number>) => number
|
||||
```
|
||||
|
||||
### min
|
||||
|
||||
```javascript
|
||||
min: (list<number>) => number
|
||||
```
|
||||
|
||||
### mean
|
||||
|
||||
```javascript
|
||||
mean: (list<number>) => number
|
||||
```
|
||||
|
||||
### stdev
|
||||
|
||||
```javascript
|
||||
stdev: (list<number>) => number
|
||||
```
|
||||
|
||||
### variance
|
||||
|
||||
```javascript
|
||||
variance: (list<number>) => number
|
||||
```
|
||||
|
||||
## Algebra
|
||||
|
||||
### unaryMinus
|
||||
|
||||
```javascript
|
||||
unaryMinus: (number) => number;
|
||||
```
|
||||
|
||||
### equal
|
||||
|
||||
```javascript
|
||||
equal: (number, number) => boolean;
|
||||
```
|
||||
|
||||
### add
|
||||
|
||||
```javascript
|
||||
add: (number, number) => number;
|
||||
```
|
||||
|
||||
### sum
|
||||
|
||||
```javascript
|
||||
sum: (list<number>) => number
|
||||
```
|
||||
|
||||
### cumulative sum
|
||||
|
||||
```
|
||||
cumsum: (list<number>) => list<number>
|
||||
```
|
||||
|
||||
### multiply
|
||||
|
||||
```javascript
|
||||
multiply: (number, number) => number;
|
||||
```
|
||||
|
||||
### product
|
||||
|
||||
```javascript
|
||||
product: (list<number>) => number
|
||||
```
|
||||
|
||||
### cumulative product
|
||||
|
||||
```
|
||||
cumprod: (list<number>) => list<number>
|
||||
```
|
||||
|
||||
### subtract
|
||||
|
||||
```javascript
|
||||
subtract: (number, number) => number;
|
||||
```
|
||||
|
||||
### divide
|
||||
|
||||
```javascript
|
||||
divide: (number, number) => number;
|
||||
```
|
||||
|
||||
### pow
|
||||
|
||||
```javascript
|
||||
pow: (number, number) => number;
|
||||
```
|
||||
|
||||
### exp
|
||||
|
||||
```javascript
|
||||
exp: (number) => number;
|
||||
```
|
||||
|
||||
### log
|
||||
|
||||
```javascript
|
||||
log: (number) => number;
|
||||
```
|
|
@ -1,16 +1,13 @@
|
|||
---
|
||||
title: "Distribution Creation"
|
||||
sidebar_position: 2
|
||||
sidebar_position: 20
|
||||
---
|
||||
|
||||
import TOCInline from "@theme/TOCInline";
|
||||
import { SquiggleEditor } from "../../src/components/SquiggleEditor";
|
||||
import Admonition from "@theme/Admonition";
|
||||
import Tabs from "@theme/Tabs";
|
||||
import TabItem from "@theme/TabItem";
|
||||
|
||||
<TOCInline toc={toc} maxHeadingLevel={2} />
|
||||
|
||||
## To
|
||||
|
||||
`(5thPercentile: number) to (95thPercentile: number)`
|
|
@ -9,8 +9,8 @@ Squiggle is an _estimation language_, and a syntax for _calculating and expressi
|
|||
|
||||
- [Gallery](./Discussions/Gallery)
|
||||
- [Squiggle playground](/playground)
|
||||
- [Language basics](./Features/Language)
|
||||
- [Squiggle functions source of truth](./docs/Features/Functions)
|
||||
- [Language basics](./Guides/Language)
|
||||
- [Squiggle functions source of truth](./docs/Guides/Functions)
|
||||
- [Known bugs](./Discussions/Bugs)
|
||||
- [Original lesswrong sequence](https://www.lesswrong.com/s/rDe8QE5NvXcZYzgZ3)
|
||||
- [Author your squiggle models as Observable notebooks](https://observablehq.com/@hazelfire/squiggle)
|
||||
|
|
|
@ -18,9 +18,7 @@ const config = {
|
|||
favicon: "img/favicon.ico",
|
||||
organizationName: "quantified-uncertainty", // Usually your GitHub org/user name.
|
||||
projectName: "squiggle", // Usually your repo name.
|
||||
|
||||
plugins: [],
|
||||
|
||||
presets: [
|
||||
[
|
||||
"classic",
|
||||
|
@ -66,6 +64,12 @@ const config = {
|
|||
position: "left",
|
||||
label: "Documentation",
|
||||
},
|
||||
{
|
||||
type: "doc",
|
||||
docId: "Api/Dictionary",
|
||||
position: "left",
|
||||
label: "API",
|
||||
},
|
||||
{ to: "/blog", label: "Blog", position: "left" },
|
||||
{ to: "/playground", label: "Playground", position: "left" },
|
||||
{
|
||||
|
|
|
@ -14,6 +14,12 @@
|
|||
/** @type {import('@docusaurus/plugin-content-docs').SidebarsConfig} */
|
||||
const sidebars = {
|
||||
// By default, Docusaurus generates a sidebar from the docs folder structure
|
||||
apiSidebar: [
|
||||
{
|
||||
type: "autogenerated",
|
||||
dirName: "Api",
|
||||
},
|
||||
],
|
||||
tutorialSidebar: [
|
||||
{
|
||||
type: "doc",
|
||||
|
@ -22,11 +28,11 @@ const sidebars = {
|
|||
},
|
||||
{
|
||||
type: "category",
|
||||
label: "Features",
|
||||
label: "Guides",
|
||||
items: [
|
||||
{
|
||||
type: "autogenerated",
|
||||
dirName: "Features",
|
||||
dirName: "Guides",
|
||||
},
|
||||
],
|
||||
},
|
||||
|
|
Loading…
Reference in New Issue
Block a user