quantified.uncertainty/squiggle
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Adds jsDoc

Browse Source
This commit is contained in:
Roman Galochkin 2020-03-02 10:05:39 +03:00
parent a2c5eaac89
commit 5ee9a6d227
1 changed files with 60 additions and 31 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

89
src/utility/GuesstimatorLibrary.js
View File

@ -34,15 +34,29 @@ const ratioSize = samples => {
};
/**
* @param values
* @param outputResolutionCount
* @param min
* @param max
* @returns {{discrete: {ys: *, xs: *}, continuous: {ys: [], xs: []}}}
*/
const toPdf = (values, outputResolutionCount, min, max) => {
let duplicateSamples = _(values).groupBy().pickBy(x => x.length > 1).keys().value();
let totalLength = _.size(values);
let frequencies = duplicateSamples.map(s => ({value: parseFloat(s), percentage: _(values).filter(x => x ==s).size()/totalLength}));
let frequencies = duplicateSamples.map(s => ({
value: parseFloat(s),
percentage: _(values).filter(x => x == s).size() / totalLength
}));
let continuousSamples = _.difference(values, frequencies.map(f => f.value));
let discrete = {xs: frequencies.map(f => f.value), ys: frequencies.map(f => f.percentage)};
let continuous = {ys: [], xs: []};
if (continuousSamples.length > 20){
let discrete = {
xs: frequencies.map(f => f.value),
ys: frequencies.map(f => f.percentage)
};
let continuous = { ys: [], xs: [] };
if (continuousSamples.length > 20) {
const samples = new Samples(continuousSamples);
const ratioSize$ = ratioSize(samples);
@ -51,37 +65,52 @@ const toPdf = (values, outputResolutionCount, min, max) => {
const pdf = samples.toPdf({ size: outputResolutionCount, width, min, max });
continuous = pdf;
}
return {continuous, discrete};
return { continuous, discrete };
};
let run = (text, sampleCount, outputResolutionCount, inputs=[], min=false, max=false) => {
let [_error, item] = Guesstimator.parse({ text: "=" + text });
const { parsedInput } = item;
const { guesstimateType } = parsedInput;
/**
* @param text
* @param sampleCount
* @param outputResolutionCount
* @param inputs
* @param min
* @param max
* @returns {{discrete: {ys: *, xs: *}, continuous: {ys: *[], xs: *[]}}}
*/
const run = (
text,
sampleCount,
outputResolutionCount,
inputs = [],
min = false,
max = false,
) => {
const [_error, item] = Guesstimator.parse({ text: "=" + text });
const { parsedInput } = item;
const guesstimator = new Guesstimator({ parsedInput });
const value = guesstimator.sample(
sampleCount,
inputs,
);
const samplerType = guesstimator.samplerType();
const guesstimator = new Guesstimator({ parsedInput });
const value = guesstimator.sample(
sampleCount,
inputs,
);
const values = _.filter(value.values, _.isFinite);
const values = _.filter(value.values, _.isFinite);
let update;
let blankResponse = {
continuous: {ys: [], xs: []},
discrete: {ys: [], xs: []}
};
if (values.length === 0) {
update = blankResponse;
} else if (values.length === 1) {
update = blankResponse;
} else {
update = toPdf(values, outputResolutionCount, min, max);
}
return update;
}
let update;
let blankResponse = {
continuous: { ys: [], xs: [] },
discrete: { ys: [], xs: [] }
};
if (values.length === 0) {
update = blankResponse;
} else if (values.length === 1) {
update = blankResponse;
} else {
update = toPdf(values, outputResolutionCount, min, max);
}
return update;
};
module.exports = {
run,