90 lines
31 KiB
Plaintext
Vendored
90 lines
31 KiB
Plaintext
Vendored
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Regressions\n",
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"\n",
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"$X = (0,1)$\n",
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"\n",
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"$Y = sin(2\\pi X)$"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 24,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/markdown": [
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""
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]
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},
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"execution_count": 24,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"// deno-lint-ignore-file\n",
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"\n",
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"import { display } from \"https://deno.land/x/display@v0.1.1/mod.ts\";\n",
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"import pl from \"npm:nodejs-polars\";\n",
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"import plot from \"../plot/mod.ts\";\n",
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"\n",
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"const data = await Deno.readTextFile(\"assets/X_Y_Sinusoid_Data.csv\");\n",
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"const df = pl.readCSV(data, { sep: \",\" });\n",
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"\n",
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"const real = pl.DataFrame({ x: new Array(100).fill(0).map((_, i) => i / 100)}).select(\n",
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" pl.col('x'),\n",
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" pl.col('x').mul(2).mul(3.14).sin().alias('y')\n",
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");\n",
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"\n",
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"const draw = (x, y, title = \"Sinusoid Data\") => \n",
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" plot.DrawPlot(\n",
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" { \n",
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" title,\n",
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" width: 7,\n",
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" height: 4,\n",
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" XLabel: \"X\", \n",
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" YLabel: \"Y\", \n",
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" }, \n",
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" { type: \"line\", data: [real.x, real.y], legend: \"Sinusoid\", lineDashes: [3, 4], lineColor: \"#ff8888\", lineWidth: 1 },\n",
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" { type: \"scatter\", data: [x, y], legend: \"Data\", lineDashes: [3, 4], lineWidth: 2, glyphColor: \"#4444ff\", glyphShape: \"circle\" },\n",
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" { type: \"trend\", data: [x, y], legend: \"Trend\", lineDashes: [4, 2], lineColor: '#aacccc', lineWidth: .5 },\n",
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" );\n",
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"\n",
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"\n",
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"draw(df.x, df.y);"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Deno",
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"language": "typescript",
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"name": "deno"
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},
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"language_info": {
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"codemirror_mode": "typescript",
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"file_extension": ".ts",
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"mimetype": "text/x.typescript",
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"name": "typescript",
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"nbconvert_exporter": "script",
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"pygments_lexer": "typescript",
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"version": "5.6.2"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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