30:T809,{ mutable ll = 0 const svgDims = [600,300] const svg = d3.select(DOM.svg(svgDims[0],svgDims[1])).attr("style","background:white;border:1px solid white") const xScale = d3.scaleLinear().domain([-10,10]).range([30,570]) const yScale = d3.scaleLinear().domain([-1,1]).range([270,30]) const xAxis = svg.append("g").attr("transform",`translate(0,${yScale(0)})`).call(d3.axisBottom(xScale)) const yAxis = svg.append("g").attr("transform",`translate(${xScale(0)},0)`).call(d3.axisLeft(yScale).ticks(5)) const f = (d) => { return exp(slope*d+intercept) } const f2 = (d) => { const s = model.theta[1] const int = model.theta[0] return exp(s*d+int) } const pathData = d3.line().x(d => xScale(d)).y(d => yScale(f(d)/(1+f(d))))(data) svg.append("path").attr("d",pathData).attr("fill","none").attr("stroke","black").attr("stroke-width",2) const pathData2 = d3.line().x(d => xScale(d)).y(d => yScale(f2(d)/(1+f2(d))))(data) svg.append("path").attr("d",pathData2).attr("fill","none").attr("stroke","lime").attr("stroke-width",2) .attr("opacity",()=>{ return hide == false?0:1 }) for(let i = 0;i``})","pinned":false,"hidden":false,"mode":"ojs"},{"id":50,"value":"tex`y = \\dfrac{${odds}}{1+${odds}}`","pinned":false,"hidden":false,"mode":"ojs"},{"id":103,"value":"tex`\\text{log-loss (visual)} = ${ll}`","pinned":false,"hidden":false,"mode":"ojs"},{"id":186,"value":"tex`\\text{log-loss (optimization algorithm)} = ${bll}`","pinned":false,"hidden":false,"mode":"ojs"},{"id":47,"value":"$30","pinned":false,"hidden":false,"mode":"ojs"},{"id":81,"value":"viewof hide = checkbox({options:[\"show best fit\"]})","pinned":false,"hidden":false,"mode":"ojs"},{"id":26,"value":"html`

Variables and Code

`","pinned":false,"hidden":false,"mode":"ojs"},{"id":28,"value":"data = {\n const data = []\n for(var i = -10; i <= 10; i = i + .01){\n data.push(i)\n }\n return data\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":30,"value":"blue = {\n b\n const blue = []\n for(let i = 0;i < 10;i++){\n blue.push({x:normal(0,2),y:0})\n }\n return blue\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":35,"value":"red = {\n b\n const red = []\n for(let i = 0;i < 10;i++){\n red.push({x:normal(0,2),y:1})\n }\n return red\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":138,"value":"test = {\n const test=[]\n for(let i = 0;i<10;i++){\n test.push([blue[i].x-overlap,blue[i].y])\n }\n for(let i = 0;i<10;i++){\n test.push([red[i].x+overlap,red[i].y])\n }\n return test\n\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":141,"value":"model = {\n const logistic = new jsregression.LogisticRegression({\n alpha: 1,\n iterations: 30000,\n lambda: 0.0\n });\n const model = logistic.fit(test);\n return model\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":38,"value":"odds = {\n if(slope == 1){\n var a = \"x\"\n }else if(slope == -1){\n var a = \"-x\"\n }else if(slope == 0){\n var a = \"\"\n }else{\n var a = `${slope}x`\n }\n\n if(intercept == 0 && slope == 0 ){\n return `e^{0}`\n }else if(intercept == 0 ){\n return `e^{${a}}`\n }else if(intercept > 0 && slope == 0){\n return ` e^{${intercept}}`\n }else if(intercept > 0){\n return `e^{${a} + ${intercept}}`\n }else if(intercept < 0 ){\n return ` e^{${a} - ${-1*intercept}}`\n }else{\n return ``\n }\n\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":96,"value":"mutable ll = 0","pinned":false,"hidden":false,"mode":"ojs"},{"id":212,"value":"mutable bll = 0","pinned":false,"hidden":false,"mode":"ojs"},{"id":5,"value":"html`

Libraries

`","pinned":false,"hidden":false,"mode":"ojs"},{"id":7,"value":"import {slider,button,select,text,radio,checkbox,number} from \"@jashkenas/inputs\"","pinned":false,"hidden":false,"mode":"ojs"},{"id":9,"value":"d3 = require(\"d3@5\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":11,"value":"stdlib = require( \"https://unpkg.com/@stdlib/stdlib@0.0.32/dist/stdlib-flat.min.js\" )","pinned":false,"hidden":false,"mode":"ojs"},{"id":13,"value":"normal = stdlib.base.random.normal","pinned":false,"hidden":false,"mode":"ojs"},{"id":15,"value":"ss = require(\"https://unpkg.com/simple-statistics@6.1.0/dist/simple-statistics.min.js\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":17,"value":"exp = stdlib.base.exp","pinned":false,"hidden":false,"mode":"ojs"},{"id":98,"value":"ln = stdlib.base.ln","pinned":false,"hidden":false,"mode":"ojs"},{"id":128,"value":"jsregression = require('https://bundle.run/js-regression@1.0.10')","pinned":false,"hidden":false,"mode":"ojs"}],"files":"$W31","stdlib":"1","titling":"auto"}