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Ozzie Gooen 2022-07-29 10:26:14 -07:00
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3
packages/website/docs/Api/List.md
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@ -78,6 +78,7 @@ See [Rescript implementation](https://rescript-lang.org/docs/manual/latest/api/b
``` ```
filter: (list<'a>, 'a => bool) => list<'a> filter: (list<'a>, 'a => bool) => list<'a>
``` ```
See [Rescript implementation of keep](https://rescript-lang.org/docs/manual/latest/api/belt/array#keep), which is functionally equivalent. See [Rescript implementation of keep](https://rescript-lang.org/docs/manual/latest/api/belt/array#keep), which is functionally equivalent.
### reduce ### reduce
@ -104,4 +105,4 @@ 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. 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). See [Rescript implementation](https://rescript-lang.org/docs/manual/latest/api/belt/array#reducereverse).

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packages/website/docs/Discussions/Gallery.md
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@ -3,8 +3,8 @@ sidebar_position: 2
title: Gallery title: Gallery
--- ---
* [GiveWell's GiveDirectly cost effectiveness analysis](https://observablehq.com/@hazelfire/givewells-givedirectly-cost-effectiveness-analysis) by Sam Nolan - [GiveWell's GiveDirectly cost effectiveness analysis](https://observablehq.com/@hazelfire/givewells-givedirectly-cost-effectiveness-analysis) by Sam Nolan
* [A Critical Review of Open Philanthropy’s Bet On Criminal Justice Reform](https://forum.effectivealtruism.org/posts/h2N9qEbvQ6RHABcae/a-critical-review-of-open-philanthropy-s-bet-on-criminal) by Nuño Sempere - [A Critical Review of Open Philanthropy’s Bet On Criminal Justice Reform](https://forum.effectivealtruism.org/posts/h2N9qEbvQ6RHABcae/a-critical-review-of-open-philanthropy-s-bet-on-criminal) by Nuño Sempere
* [Samotsvety Nuclear Risk Forecasts — March 2022](https://forum.effectivealtruism.org/posts/KRFXjCqqfGQAYirm5/samotsvety-nuclear-risk-forecasts-march-2022) by Nuño Sempere, Misha Yagudin, Eli Lifland - [Samotsvety Nuclear Risk Forecasts — March 2022](https://forum.effectivealtruism.org/posts/KRFXjCqqfGQAYirm5/samotsvety-nuclear-risk-forecasts-march-2022) by Nuño Sempere, Misha Yagudin, Eli Lifland
* [Adjusting probabilities for the passage of time](https://www.lesswrong.com/s/rDe8QE5NvXcZYzgZ3/p/j8o6sgRerE3tqNWdj) by Nuño Sempere - [Adjusting probabilities for the passage of time](https://www.lesswrong.com/s/rDe8QE5NvXcZYzgZ3/p/j8o6sgRerE3tqNWdj) by Nuño Sempere
* [List of QURI Squiggle Models](https://github.com/quantified-uncertainty/squiggle-models) by Nuño Sempere, Sam Nolan, and Ozzie Gooen - [List of QURI Squiggle Models](https://github.com/quantified-uncertainty/squiggle-models) by Nuño Sempere, Sam Nolan, and Ozzie Gooen

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packages/website/docs/Guides/Gotchas.mdx
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@ -7,28 +7,35 @@ import { SquiggleEditor } from "../../src/components/SquiggleEditor";
import Admonition from "@theme/Admonition"; import Admonition from "@theme/Admonition";
## Point Set Distributions Conversions ## Point Set Distributions Conversions
Point Set conversions are done with [kernel density estimation](https://en.wikipedia.org/wiki/Kernel_density_estimation), which is lossy. This might be particularly noticeable in cases where distributions should be entirely above zero. Point Set conversions are done with [kernel density estimation](https://en.wikipedia.org/wiki/Kernel_density_estimation), which is lossy. This might be particularly noticeable in cases where distributions should be entirely above zero.
In this example, we see that the median of this (highly skewed) distribution is positive when it's in a Sample Set format, but negative when it's converted to a Point Set format. In this example, we see that the median of this (highly skewed) distribution is positive when it's in a Sample Set format, but negative when it's converted to a Point Set format.
<SquiggleEditor defaultCode={`dist = SampleSet.fromDist(5 to 100000000) <SquiggleEditor
defaultCode={`dist = SampleSet.fromDist(5 to 100000000)
{ {
sampleSetMedian: quantile(dist, .5), sampleSetMedian: quantile(dist, .5),
pointSetMedian: quantile(PointSet.fromDist(dist), .5), pointSetMedian: quantile(PointSet.fromDist(dist), .5),
dist: dist dist: dist
}`} /> }`}
/>
--- ---
This can be particularly confusing for visualizations. Visualizations automatically convert distributions into Point Set formats. Therefore, they might often show negative values, even if the underlying distribution is fully positive. This can be particularly confusing for visualizations. Visualizations automatically convert distributions into Point Set formats. Therefore, they might often show negative values, even if the underlying distribution is fully positive.
We plan to later support more configuration of kernel density estimation, and for visualiations of Sample Set distributions to instead use histograms. We plan to later support more configuration of kernel density estimation, and for visualiations of Sample Set distributions to instead use histograms.
## Sample Set Correlations ## Sample Set Correlations
Correlations with Sample Set distributions are a bit complicated. Monte Carlo generations with Squiggle are ordered. The first sample in one Sample Set distribution will correspond to the first sample in a distribution that comes from a resulting Monte Carlo generation. Therefore, Sample Set distributions in a chain of Monte Carlo generations are likely to all be correlated with each other. This connection breaks if any node changes to the Point Set or Symbolic format. Correlations with Sample Set distributions are a bit complicated. Monte Carlo generations with Squiggle are ordered. The first sample in one Sample Set distribution will correspond to the first sample in a distribution that comes from a resulting Monte Carlo generation. Therefore, Sample Set distributions in a chain of Monte Carlo generations are likely to all be correlated with each other. This connection breaks if any node changes to the Point Set or Symbolic format.
In this example, we subtract all three types of distributions by themselves. Notice that the Sample Set distribution returns 1. The other two return the result of subtracting one normal distribution from a separate uncorrelated distribution. These results are clearly very different to each other. In this example, we subtract all three types of distributions by themselves. Notice that the Sample Set distribution returns 1. The other two return the result of subtracting one normal distribution from a separate uncorrelated distribution. These results are clearly very different to each other.
<SquiggleEditor defaultCode={`sampleSetDist = normal(5,2) |> SampleSet.fromDist <SquiggleEditor
defaultCode={`sampleSetDist = normal(5,2) |> SampleSet.fromDist
sampleSetDistToPointSet = sampleSetDist |> PointSet.fromDist sampleSetDistToPointSet = sampleSetDist |> PointSet.fromDist
symbolicDist = normal(5,2) symbolicDist = normal(5,2)
[sampleSetDist-sampleSetDist, sampleSetDistToPointSet-sampleSetDistToPointSet, symbolicDist-symbolicDist]`} /> [sampleSetDist-sampleSetDist, sampleSetDistToPointSet-sampleSetDistToPointSet, symbolicDist-symbolicDist]`}
/>

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packages/website/docs/Integrations.md
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@ -4,6 +4,7 @@ title: "Integrations"
--- ---
## Node Packages ## Node Packages
There are two JavaScript packages currently available for Squiggle: There are two JavaScript packages currently available for Squiggle:
- [`@quri/squiggle-lang`](https://www.npmjs.com/package/@quri/squiggle-lang) - [`@quri/squiggle-lang`](https://www.npmjs.com/package/@quri/squiggle-lang)
@ -11,10 +12,12 @@ There are two JavaScript packages currently available for Squiggle:
Types are available for both packages. Types are available for both packages.
## [Squiggle Language](https://www.npmjs.com/package/@quri/squiggle-lang) ![npm version](https://badge.fury.io/js/@quri%2Fsquiggle-lang.svg) ## [Squiggle Language](https://www.npmjs.com/package/@quri/squiggle-lang) ![npm version](https://badge.fury.io/js/@quri%2Fsquiggle-lang.svg)
[_See `README.md` in Github_](https://github.com/quantified-uncertainty/squiggle/tree/develop/packages/squiggle-lang#use-the-npm-package) [_See `README.md` in Github_](https://github.com/quantified-uncertainty/squiggle/tree/develop/packages/squiggle-lang#use-the-npm-package)
## [Squiggle Components](https://www.npmjs.com/package/@quri/squiggle-components) ![npm version](https://badge.fury.io/js/@quri%2Fsquiggle-components.svg) ## [Squiggle Components](https://www.npmjs.com/package/@quri/squiggle-components) ![npm version](https://badge.fury.io/js/@quri%2Fsquiggle-components.svg)
[_See `README.md` in Github_](https://github.com/quantified-uncertainty/squiggle/tree/develop/packages/components#usage-in-a-react-project) [_See `README.md` in Github_](https://github.com/quantified-uncertainty/squiggle/tree/develop/packages/components#usage-in-a-react-project)
This documentation uses `@quri/squiggle-components` frequently. This documentation uses `@quri/squiggle-components` frequently.
@ -22,8 +25,10 @@ This documentation uses `@quri/squiggle-components` frequently.
We host [a storybook](https://squiggle-components.netlify.app/) with details We host [a storybook](https://squiggle-components.netlify.app/) with details
and usage of each of the components made available. and usage of each of the components made available.
## [Visual Studio Code Extension](https://marketplace.visualstudio.com/items?itemName=QURI.vscode-squiggle) ![npm version](https://vsmarketplacebadge.apphb.com/version/QURI.vscode-squiggle.svg) ## [Visual Studio Code Extension](https://marketplace.visualstudio.com/items?itemName=QURI.vscode-squiggle) ![npm version](https://vsmarketplacebadge.apphb.com/version/QURI.vscode-squiggle.svg)
This extention allows you to run and visualize Squiggle code.
This extention allows you to run and visualize Squiggle code.
## [Observable Library](https://observablehq.com/@hazelfire/squiggle) ## [Observable Library](https://observablehq.com/@hazelfire/squiggle)
An exportable [Observable Notebook](https://observablehq.com/@hazelfire/squiggle) of the key components that you can directly import and use in Observable notebooks.
An exportable [Observable Notebook](https://observablehq.com/@hazelfire/squiggle) of the key components that you can directly import and use in Observable notebooks.