857 lines
23 KiB
Plaintext
857 lines
23 KiB
Plaintext
open FunctionRegistry_Core
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open FunctionRegistry_Helpers
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let twoArgs = E.Tuple2.toFnCall
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module Declaration = {
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let frType = FRTypeRecord([
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("fn", FRTypeLambda),
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("inputs", FRTypeArray(FRTypeRecord([("min", FRTypeNumber), ("max", FRTypeNumber)]))),
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])
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let fromExpressionValue = (e: frValue): result<internalExpressionValue, string> => {
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switch FunctionRegistry_Helpers.Prepare.ToValueArray.Record.twoArgs([e]) {
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| Ok([FRValueLambda(lambda), FRValueArray(inputs)]) => {
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open FunctionRegistry_Helpers.Prepare
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let getMinMax = arg =>
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ToValueArray.Record.toArgs([arg])
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->E.R.bind(ToValueTuple.twoNumbers)
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->E.R2.fmap(((min, max)) => Declaration.ContinuousFloatArg.make(min, max))
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inputs
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->E.A2.fmap(getMinMax)
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->E.A.R.firstErrorOrOpen
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->E.R2.fmap(args => ReducerInterface_InternalExpressionValue.IEvDeclaration(
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Declaration.make(lambda, args),
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))
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}
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| Error(r) => Error(r)
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| Ok(_) => Error(FunctionRegistry_Helpers.impossibleError)
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}
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}
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}
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module PointSet = {
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let nameSpace = "PointSet"
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let requiresNamespace = true
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let inputsTodist = (inputs: array<FunctionRegistry_Core.frValue>, makeDist) => {
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let array = inputs->getOrError(0)->E.R.bind(Prepare.ToValueArray.Array.openA)
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let xyCoords =
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array->E.R.bind(xyCoords =>
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xyCoords
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->E.A2.fmap(xyCoord =>
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[xyCoord]->Prepare.ToValueArray.Record.twoArgs->E.R.bind(Prepare.ToValueTuple.twoNumbers)
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)
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->E.A.R.firstErrorOrOpen
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)
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let expressionValue =
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xyCoords
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->E.R.bind(r => r->XYShape.T.makeFromZipped->E.R2.errMap(XYShape.Error.toString))
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->E.R2.fmap(r => ReducerInterface_InternalExpressionValue.IEvDistribution(
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PointSet(makeDist(r)),
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))
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expressionValue
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}
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let library = [
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Function.make(
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~name="PointSet.makeContinuous",
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~nameSpace,
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~definitions=[
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FnDefinition.make(
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~requiresNamespace,
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~name="makeContinuous",
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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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),
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Function.make(
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~name="PointSet.makeDiscrete",
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~nameSpace,
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~definitions=[
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FnDefinition.make(
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~requiresNamespace,
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~name="makeDiscrete",
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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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),
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]
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}
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module Functionn = {
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let nameSpace = "Function"
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let library = [
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Function.make(
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~name="Function.declare",
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~nameSpace,
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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=[
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`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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],
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~isExperimental=true,
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~definitions=[
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FnDefinition.make(
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~requiresNamespace=true,
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~name="declare",
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~inputs=[Declaration.frType],
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~run=(_, inputs, _) => {
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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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(),
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),
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]
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}
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module DistributionCreation = {
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let nameSpace = "Dist"
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module TwoArgDist = {
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let process = (~fn, ~env, r) =>
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r
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->E.R.bind(Process.DistOrNumberToDist.twoValuesUsingSymbolicDist(~fn, ~values=_, ~env))
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->E.R2.fmap(Wrappers.evDistribution)
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let make = (name, fn) => {
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FnDefinition.make(
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~requiresNamespace=false,
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~name,
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~inputs=[FRTypeDistOrNumber, FRTypeDistOrNumber],
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~run=(_, inputs, env) => inputs->Prepare.ToValueTuple.twoDistOrNumber->process(~fn, ~env),
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(),
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)
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}
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let makeRecordP5P95 = (name, fn) => {
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FnDefinition.make(
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~requiresNamespace=false,
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~name,
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~inputs=[FRTypeRecord([("p5", FRTypeDistOrNumber), ("p95", FRTypeDistOrNumber)])],
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~run=(_, inputs, env) =>
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inputs->Prepare.ToValueTuple.Record.twoDistOrNumber->process(~fn, ~env),
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(),
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)
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}
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let makeRecordMeanStdev = (name, fn) => {
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FnDefinition.make(
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~name,
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~requiresNamespace=false,
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~inputs=[FRTypeRecord([("mean", FRTypeDistOrNumber), ("stdev", FRTypeDistOrNumber)])],
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~run=(_, inputs, env) =>
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inputs->Prepare.ToValueTuple.Record.twoDistOrNumber->process(~fn, ~env),
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(),
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)
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}
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}
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module OneArgDist = {
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let process = (~fn, ~env, r) =>
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r
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->E.R.bind(Process.DistOrNumberToDist.oneValueUsingSymbolicDist(~fn, ~value=_, ~env))
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->E.R2.fmap(Wrappers.evDistribution)
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let make = (name, fn) =>
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FnDefinition.make(
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~requiresNamespace=false,
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~name,
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~inputs=[FRTypeDistOrNumber],
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~run=(_, inputs, env) => inputs->Prepare.ToValueTuple.oneDistOrNumber->process(~fn, ~env),
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(),
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)
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}
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let library = [
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Function.make(
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~name="Normal",
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~nameSpace,
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~examples=["normal(5,1)", "normal({p5: 4, p95: 10})", "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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twoArgs(SymbolicDist.Normal.from90PercentCI, r)->Ok
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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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~nameSpace,
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~examples=[
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"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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],
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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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twoArgs(SymbolicDist.Lognormal.from90PercentCI, r)->Ok
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),
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TwoArgDist.makeRecordMeanStdev(
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"lognormal",
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twoArgs(SymbolicDist.Lognormal.fromMeanAndStdev),
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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="Uniform",
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~nameSpace,
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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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~nameSpace,
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~examples=[`beta(20, 25)`, `beta({mean: 0.39, stdev: 0.1})`],
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~definitions=[
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TwoArgDist.make("beta", twoArgs(SymbolicDist.Beta.make)),
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TwoArgDist.makeRecordMeanStdev("beta", twoArgs(SymbolicDist.Beta.fromMeanAndStdev)),
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],
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(),
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),
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Function.make(
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~name="Cauchy",
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~nameSpace,
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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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~nameSpace,
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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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~nameSpace,
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~examples=[`logistic(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 (Distribution)",
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~nameSpace,
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~examples=[`5 to 10`, `to(5,10)`, `-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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"credibleIntervalToDistribution",
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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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~nameSpace,
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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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~nameSpace,
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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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~nameSpace,
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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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]
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}
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module Number = {
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let nameSpace = "Number"
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let requiresNamespace = false
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module NumberToNumber = {
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let make = (name, fn) =>
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FnDefinition.make(
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~requiresNamespace,
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~name,
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~inputs=[FRTypeNumber],
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~run=(_, inputs, _) => {
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inputs
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->getOrError(0)
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->E.R.bind(Prepare.oneNumber)
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->E.R2.fmap(fn)
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->E.R2.fmap(Wrappers.evNumber)
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},
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(),
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)
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}
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module ArrayNumberDist = {
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let make = (name, fn) => {
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FnDefinition.make(
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~requiresNamespace=false,
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~name,
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~inputs=[FRTypeArray(FRTypeNumber)],
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~run=(_, inputs, _) =>
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Prepare.ToTypedArray.numbers(inputs)
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->E.R.bind(r => E.A.length(r) === 0 ? Error("List is empty") : Ok(r))
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->E.R.bind(fn),
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(),
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)
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}
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let make2 = (name, fn) => {
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FnDefinition.make(
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~name,
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~inputs=[FRTypeArray(FRTypeAny)],
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~run=(_, inputs, _) =>
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Prepare.ToTypedArray.numbers(inputs)
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->E.R.bind(r => E.A.length(r) === 0 ? Error("List is empty") : Ok(r))
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->E.R.bind(fn),
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(),
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)
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}
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}
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let library = [
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Function.make(
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~name="Floor",
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~nameSpace,
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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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~nameSpace,
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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(
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~name="Absolute Value",
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~nameSpace,
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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(
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~name="Exponent",
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~nameSpace,
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~definitions=[NumberToNumber.make("exp", Js.Math.exp)],
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(),
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),
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Function.make(
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~name="Log",
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~nameSpace,
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~definitions=[NumberToNumber.make("log", Js.Math.log)],
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(),
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),
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Function.make(
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~name="Log Base 10",
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~nameSpace,
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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(
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~name="Log Base 2",
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~nameSpace,
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~definitions=[NumberToNumber.make("log2", Js.Math.log2)],
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(),
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),
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Function.make(
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~name="Round",
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~nameSpace,
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~definitions=[NumberToNumber.make("round", Js.Math.round)],
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(),
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),
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Function.make(
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~name="Sum",
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~nameSpace,
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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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~nameSpace,
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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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~nameSpace,
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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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~nameSpace,
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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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~nameSpace,
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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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~nameSpace,
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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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~nameSpace,
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~definitions=[ArrayNumberDist.make("stdev", 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="Variance",
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~nameSpace,
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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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),
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Function.make(
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~name="Sort",
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~nameSpace,
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~definitions=[
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ArrayNumberDist.make("sort", r =>
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r->E.A.Floats.sort->E.A2.fmap(Wrappers.evNumber)->Wrappers.evArray->Ok
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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="Cumulative Sum",
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~nameSpace,
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~definitions=[
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ArrayNumberDist.make("cumsum", r =>
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r->E.A.Floats.cumsum->E.A2.fmap(Wrappers.evNumber)->Wrappers.evArray->Ok
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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="Cumulative Prod",
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~nameSpace,
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~definitions=[
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ArrayNumberDist.make("cumprod", r =>
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r->E.A.Floats.cumsum->E.A2.fmap(Wrappers.evNumber)->Wrappers.evArray->Ok
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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="Diff",
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~nameSpace,
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~definitions=[
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ArrayNumberDist.make("diff", r =>
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r->E.A.Floats.diff->E.A2.fmap(Wrappers.evNumber)->Wrappers.evArray->Ok
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),
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],
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(),
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),
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]
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}
|
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|
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module Dict = {
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let nameSpace = "Dict"
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module Internals = {
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type t = ReducerInterface_InternalExpressionValue.map
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|
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let keys = (a: t): internalExpressionValue => IEvArray(
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Belt.Map.String.keysToArray(a)->E.A2.fmap(Wrappers.evString),
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)
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let values = (a: t): internalExpressionValue => IEvArray(Belt.Map.String.valuesToArray(a))
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let toList = (a: t): internalExpressionValue =>
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Belt.Map.String.toArray(a)
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->E.A2.fmap(((key, value)) => Wrappers.evArray([IEvString(key), value]))
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->Wrappers.evArray
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let fromList = (items: array<internalExpressionValue>): result<
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internalExpressionValue,
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string,
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> =>
|
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items
|
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->E.A2.fmap(item => {
|
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switch (item: internalExpressionValue) {
|
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| IEvArray([IEvString(string), value]) => (string, value)->Ok
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| _ => Error(impossibleError)
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}
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})
|
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->E.A.R.firstErrorOrOpen
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->E.R2.fmap(Belt.Map.String.fromArray)
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->E.R2.fmap(Wrappers.evRecord)
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|
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let merge = (a: t, b: t): internalExpressionValue => IEvRecord(
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Belt.Map.String.merge(a, b, (_, _, c) => c),
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)
|
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|
|
//Belt.Map.String has a function for mergeMany, but I couldn't understand how to use it yet.
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let mergeMany = (a: array<t>): internalExpressionValue => {
|
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let mergedValues =
|
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a->E.A2.fmap(Belt.Map.String.toArray)->Belt.Array.concatMany->Belt.Map.String.fromArray
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IEvRecord(mergedValues)
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}
|
|
}
|
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|
|
let library = [
|
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Function.make(
|
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~name="merge",
|
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~nameSpace,
|
|
~definitions=[
|
|
FnDefinition.make(
|
|
~requiresNamespace=true,
|
|
~name="merge",
|
|
~inputs=[FRTypeDict(FRTypeAny), FRTypeDict(FRTypeAny)],
|
|
~run=(inputs, _, _) => {
|
|
switch inputs {
|
|
| [IEvRecord(d1), IEvRecord(d2)] => Internals.merge(d1, d2)->Ok
|
|
| _ => Error(impossibleError)
|
|
}
|
|
},
|
|
(),
|
|
),
|
|
],
|
|
(),
|
|
),
|
|
//TODO: Change to use new mergeMany() function.
|
|
Function.make(
|
|
~name="mergeMany",
|
|
~nameSpace,
|
|
~definitions=[
|
|
FnDefinition.make(
|
|
~requiresNamespace=true,
|
|
~name="mergeMany",
|
|
~inputs=[FRTypeArray(FRTypeDict(FRTypeAny))],
|
|
~run=(_, inputs, _) =>
|
|
inputs
|
|
->Prepare.ToTypedArray.dicts
|
|
->E.R2.fmap(E.Dict.concatMany)
|
|
->E.R2.fmap(Js.Dict.map((. r) => FunctionRegistry_Core.FRType.matchReverse(r)))
|
|
->E.R2.fmap(r => r->Js.Dict.entries->Belt.Map.String.fromArray)
|
|
->E.R2.fmap(Wrappers.evRecord),
|
|
(),
|
|
),
|
|
],
|
|
(),
|
|
),
|
|
Function.make(
|
|
~name="keys",
|
|
~nameSpace,
|
|
~definitions=[
|
|
FnDefinition.make(
|
|
~requiresNamespace=true,
|
|
~name="keys",
|
|
~inputs=[FRTypeDict(FRTypeAny)],
|
|
~run=(inputs, _, _) =>
|
|
switch inputs {
|
|
| [IEvRecord(d1)] => Internals.keys(d1)->Ok
|
|
| _ => Error(impossibleError)
|
|
},
|
|
(),
|
|
),
|
|
],
|
|
(),
|
|
),
|
|
Function.make(
|
|
~name="values",
|
|
~nameSpace,
|
|
~definitions=[
|
|
FnDefinition.make(
|
|
~requiresNamespace=true,
|
|
~name="values",
|
|
~inputs=[FRTypeDict(FRTypeAny)],
|
|
~run=(inputs, _, _) =>
|
|
switch inputs {
|
|
| [IEvRecord(d1)] => Internals.values(d1)->Ok
|
|
| _ => Error(impossibleError)
|
|
},
|
|
(),
|
|
),
|
|
],
|
|
(),
|
|
),
|
|
Function.make(
|
|
~name="toList",
|
|
~nameSpace,
|
|
~definitions=[
|
|
FnDefinition.make(
|
|
~requiresNamespace=true,
|
|
~name="toList",
|
|
~inputs=[FRTypeDict(FRTypeAny)],
|
|
~run=(inputs, _, _) =>
|
|
switch inputs {
|
|
| [IEvRecord(dict)] => dict->Internals.toList->Ok
|
|
| _ => Error(impossibleError)
|
|
},
|
|
(),
|
|
),
|
|
],
|
|
(),
|
|
),
|
|
Function.make(
|
|
~name="fromList",
|
|
~nameSpace,
|
|
~definitions=[
|
|
FnDefinition.make(
|
|
~requiresNamespace=true,
|
|
~name="fromList",
|
|
~inputs=[FRTypeArray(FRTypeArray(FRTypeAny))],
|
|
~run=(inputs, _, _) =>
|
|
switch inputs {
|
|
| [IEvArray(items)] => Internals.fromList(items)
|
|
| _ => Error(impossibleError)
|
|
},
|
|
(),
|
|
),
|
|
],
|
|
(),
|
|
),
|
|
]
|
|
}
|
|
|
|
module List = {
|
|
let nameSpace = "List"
|
|
let requiresNamespace = true
|
|
|
|
module Internals = {
|
|
let makeFromNumber = (
|
|
n: float,
|
|
value: internalExpressionValue,
|
|
): internalExpressionValue => IEvArray(Belt.Array.make(E.Float.toInt(n), value))
|
|
|
|
let upTo = (low: float, high: float): internalExpressionValue => IEvArray(
|
|
E.A.Floats.range(low, high, (high -. low +. 1.0)->E.Float.toInt)->E.A2.fmap(
|
|
Wrappers.evNumber,
|
|
),
|
|
)
|
|
|
|
let first = (v: array<internalExpressionValue>): result<internalExpressionValue, string> =>
|
|
v->E.A.first |> E.O.toResult("No first element")
|
|
|
|
let last = (v: array<internalExpressionValue>): result<internalExpressionValue, string> =>
|
|
v->E.A.last |> E.O.toResult("No last element")
|
|
|
|
let reverse = (array: array<internalExpressionValue>): internalExpressionValue => IEvArray(
|
|
Belt.Array.reverse(array),
|
|
)
|
|
}
|
|
|
|
let library = [
|
|
Function.make(
|
|
~name="List.make",
|
|
~nameSpace,
|
|
~definitions=[
|
|
//Todo: If the second item is a function with no args, it could be nice to run this function and return the result.
|
|
FnDefinition.make(
|
|
~requiresNamespace,
|
|
~name="make",
|
|
~inputs=[FRTypeNumber, FRTypeAny],
|
|
~run=(inputs, _, _) => {
|
|
switch inputs {
|
|
| [IEvNumber(number), value] => Internals.makeFromNumber(number, value)->Ok
|
|
| _ => Error(impossibleError)
|
|
}
|
|
},
|
|
(),
|
|
),
|
|
],
|
|
(),
|
|
),
|
|
Function.make(
|
|
~name="List.upTo",
|
|
~nameSpace,
|
|
~definitions=[
|
|
FnDefinition.make(
|
|
~requiresNamespace,
|
|
~name="upTo",
|
|
~inputs=[FRTypeNumber, FRTypeNumber],
|
|
~run=(_, inputs, _) =>
|
|
inputs
|
|
->Prepare.ToValueTuple.twoNumbers
|
|
->E.R2.fmap(((low, high)) => Internals.upTo(low, high)),
|
|
(),
|
|
),
|
|
],
|
|
(),
|
|
),
|
|
Function.make(
|
|
~name="List.first",
|
|
~nameSpace,
|
|
~definitions=[
|
|
FnDefinition.make(
|
|
~requiresNamespace,
|
|
~name="first",
|
|
~inputs=[FRTypeArray(FRTypeAny)],
|
|
~run=(inputs, _, _) =>
|
|
switch inputs {
|
|
| [IEvArray(array)] => Internals.first(array)
|
|
| _ => Error(impossibleError)
|
|
},
|
|
(),
|
|
),
|
|
],
|
|
(),
|
|
),
|
|
Function.make(
|
|
~name="List.last",
|
|
~nameSpace,
|
|
~definitions=[
|
|
FnDefinition.make(
|
|
~requiresNamespace=false,
|
|
~name="last",
|
|
~inputs=[FRTypeArray(FRTypeAny)],
|
|
~run=(inputs, _, _) =>
|
|
switch inputs {
|
|
| [IEvArray(array)] => Internals.last(array)
|
|
| _ => Error(impossibleError)
|
|
},
|
|
(),
|
|
),
|
|
],
|
|
(),
|
|
),
|
|
Function.make(
|
|
~name="List.reverse",
|
|
~nameSpace,
|
|
~definitions=[
|
|
FnDefinition.make(
|
|
~requiresNamespace=false,
|
|
~name="reverse",
|
|
~inputs=[FRTypeArray(FRTypeAny)],
|
|
~run=(inputs, _, _) =>
|
|
switch inputs {
|
|
| [IEvArray(array)] => Internals.reverse(array)->Ok
|
|
| _ => Error(impossibleError)
|
|
},
|
|
(),
|
|
),
|
|
],
|
|
(),
|
|
),
|
|
]
|
|
}
|
|
|
|
module Scoring = {
|
|
let nameSpace = "Dist"
|
|
let requiresNamespace = false
|
|
|
|
let runScoring = (estimate, answer, prior, env) => {
|
|
GenericDist.Score.logScore(~estimate, ~answer, ~prior, ~env)
|
|
->E.R2.fmap(FunctionRegistry_Helpers.Wrappers.evNumber)
|
|
->E.R2.errMap(DistributionTypes.Error.toString)
|
|
}
|
|
|
|
let library = [
|
|
Function.make(
|
|
~name="logScore",
|
|
~nameSpace,
|
|
~definitions=[
|
|
FnDefinition.make(
|
|
~requiresNamespace,
|
|
~name="logScore",
|
|
~inputs=[
|
|
FRTypeRecord([
|
|
("estimate", FRTypeDist),
|
|
("answer", FRTypeDistOrNumber),
|
|
("prior", FRTypeDist),
|
|
]),
|
|
],
|
|
~run=(_, inputs, env) => {
|
|
switch FunctionRegistry_Helpers.Prepare.ToValueArray.Record.threeArgs(inputs) {
|
|
| Ok([
|
|
FRValueDist(estimate),
|
|
FRValueDistOrNumber(FRValueDist(d)),
|
|
FRValueDist(prior),
|
|
]) =>
|
|
runScoring(estimate, Score_Dist(d), Some(prior), env)
|
|
| Ok([
|
|
FRValueDist(estimate),
|
|
FRValueDistOrNumber(FRValueNumber(d)),
|
|
FRValueDist(prior),
|
|
]) =>
|
|
runScoring(estimate, Score_Scalar(d), Some(prior), env)
|
|
| Error(e) => Error(e)
|
|
| _ => Error(FunctionRegistry_Helpers.impossibleError)
|
|
}
|
|
},
|
|
(),
|
|
),
|
|
FnDefinition.make(
|
|
~name="logScore",
|
|
~requiresNamespace,
|
|
~inputs=[FRTypeRecord([("estimate", FRTypeDist), ("answer", FRTypeDistOrNumber)])],
|
|
~run=(_, inputs, env) => {
|
|
switch FunctionRegistry_Helpers.Prepare.ToValueArray.Record.twoArgs(inputs) {
|
|
| Ok([FRValueDist(estimate), FRValueDistOrNumber(FRValueDist(d))]) =>
|
|
runScoring(estimate, Score_Dist(d), None, env)
|
|
| Ok([FRValueDist(estimate), FRValueDistOrNumber(FRValueNumber(d))]) =>
|
|
runScoring(estimate, Score_Scalar(d), None, env)
|
|
| Error(e) => Error(e)
|
|
| _ => Error(FunctionRegistry_Helpers.impossibleError)
|
|
}
|
|
},
|
|
(),
|
|
),
|
|
],
|
|
(),
|
|
),
|
|
Function.make(
|
|
~name="klDivergence",
|
|
~nameSpace,
|
|
~definitions=[
|
|
FnDefinition.make(
|
|
~name="klDivergence",
|
|
~requiresNamespace,
|
|
~inputs=[FRTypeDist, FRTypeDist],
|
|
~run=(_, inputs, env) => {
|
|
switch inputs {
|
|
| [FRValueDist(estimate), FRValueDist(d)] =>
|
|
runScoring(estimate, Score_Dist(d), None, env)
|
|
| _ => Error(FunctionRegistry_Helpers.impossibleError)
|
|
}
|
|
},
|
|
(),
|
|
),
|
|
],
|
|
(),
|
|
),
|
|
]
|
|
}
|
|
|
|
let registry = Belt.Array.concatMany([
|
|
PointSet.library,
|
|
Functionn.library,
|
|
Number.library,
|
|
Dict.library,
|
|
List.library,
|
|
DistributionCreation.library,
|
|
Scoring.library,
|
|
])
|