rounded output
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23
index.js
23
index.js
@ -1,23 +1,10 @@
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import { Build, Learn, Label } from "./nn.ts";
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import { default as Clean } from "./iris.js";
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const [ inputs, labels ] = Clean();
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let [ inputs, labels ] = Clean();
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let layers = Build(4, 10, 3);
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let errors = Learn(inputs, layers, labels, 500, 0.1);
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let output = Label(inputs, layers, true);
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const layers = Build(4, 100, 3);
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const errors = Learn(inputs, layers, labels, 400, 0.1);
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const output = Label(inputs, layers);
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let Two = inCloud =>
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{
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inCloud.forEach(row=>
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{
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row.forEach((cell, i)=>
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{
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row[i] = (Math.round(cell * 100) / 100).toFixed(2);
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});
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});
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return inCloud;
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}
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console.log(Two(output));
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console.log(output);
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2
iris.js
2
iris.js
@ -6,7 +6,7 @@ export default () =>
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let min = [999, 999, 999, 999];
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let max = [-99, -99, -99, -99];
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Data.split("\n").forEach((inRowValue, inRowIndex)=>
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DataBig.split("\n").forEach((inRowValue, inRowIndex)=>
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{
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let currentInput = [];
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let currentLabel = [];
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15
nn.ts
15
nn.ts
@ -58,10 +58,21 @@ const Build = (...inLayers:Array<number>):N =>
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}
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return output;
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};
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const Label = (inData:Cloud.M, inLayers:N):Cloud.M =>
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const Label = (inData:Cloud.M, inLayers:N, inRound:boolean):Cloud.M =>
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{
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let stages:N = Forward(M.Create.Padded(inData), inLayers);
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return stages[stages.length-1];
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let output = stages[stages.length-1];
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if(inRound)
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{
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output.forEach(row=>
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{
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row.forEach((cell, i)=>
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{
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row[i] = (Math.round(cell * 100) / 100);
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});
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});
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}
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return output;
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};
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const Learn = (inData:Cloud.M, inLayers:N, inLabels:Cloud.M, inIterations:number, inRate:number):Cloud.M =>
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{
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