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No commits in common. "3d9b692d4da16d0203263a0e5ed30c6fd2307258" and "b1c95d48197f6adff424e9716c8e5a24dbd1c9dd" have entirely different histories.
3d9b692d4d
...
b1c95d4819
13
index.js
13
index.js
@ -1,10 +1,11 @@
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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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let [ inputs, labels ] = Clean();
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const inputs = [[0.10, 0.50], [0.00, 0.06], [0.99, 0.85], [0.80, 0.95]];
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const labels = [[ 0, 1 ], [ 0, 1 ], [ 1, 0 ], [ 1, 0 ]];
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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(2, 5, 2);
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const errors = Learn(inputs, layers, labels, 1000, 0.1);
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const output = Label(inputs, layers);
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console.log(output);
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console.log("error after training:", errors);
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console.log("re-classified inputs:", output);
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238
iris.js
238
iris.js
@ -1,238 +0,0 @@
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export default () =>
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{
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let inputs = [];
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let labels = [];
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let min = [999, 999, 999, 999];
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let max = [-99, -99, -99, -99];
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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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if(inRowIndex == 0){ return; }
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inRowValue.split(",").forEach((inCellValue, inCellIndex)=>
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{
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if(inCellIndex == 4)
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{
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switch(inCellValue)
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{
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case `"Setosa"`:
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currentLabel = [1, 0, 0];
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break;
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case `"Versicolor"` :
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currentLabel = [0, 1, 0];
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break;
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case `"Virginica"` :
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currentLabel = [0, 0, 1];
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break;
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}
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}
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else
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{
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let value = parseFloat(inCellValue);
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if(min[inCellIndex] > value){ min[inCellIndex] = value; }
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if(max[inCellIndex] < value){ max[inCellIndex] = value; }
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currentInput.push(value);
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}
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});
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inputs.push(currentInput);
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labels.push(currentLabel);
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});
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console.log(min, max);
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inputs.forEach((inRowValue, inRowIndex)=>
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{
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inRowValue.forEach((inCellValue, inCellIndex)=>
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{
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inputs[inRowIndex][inCellIndex] = (inCellValue - min[inCellIndex])/(max[inCellIndex] - min[inCellIndex]);
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});
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})
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return [ inputs, labels ];
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};
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const Data = `"sepal.length","sepal.width","petal.length","petal.width","variety"
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5.1,3.5,1.4,.2,"Setosa"
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4.9,3,1.4,.2,"Setosa"
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4.7,3.2,1.3,.2,"Setosa"
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4.6,3.1,1.5,.2,"Setosa"
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5,3.6,1.4,.2,"Setosa"
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5.4,3.9,1.7,.4,"Setosa"
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4.6,3.4,1.4,.3,"Setosa"
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7,3.2,4.7,1.4,"Versicolor"
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6.4,3.2,4.5,1.5,"Versicolor"
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6.9,3.1,4.9,1.5,"Versicolor"
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5.5,2.3,4,1.3,"Versicolor"
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6.5,2.8,4.6,1.5,"Versicolor"
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5.7,2.8,4.5,1.3,"Versicolor"
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6.3,3.3,4.7,1.6,"Versicolor"
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4.9,2.4,3.3,1,"Versicolor"
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6.6,2.9,4.6,1.3,"Versicolor"
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5.2,2.7,3.9,1.4,"Versicolor"
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5,2,3.5,1,"Versicolor"
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5.7,2.5,5,2,"Virginica"
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5.8,2.8,5.1,2.4,"Virginica"
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6.4,3.2,5.3,2.3,"Virginica"
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6.5,3,5.5,1.8,"Virginica"
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7.7,3.8,6.7,2.2,"Virginica"
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7.7,2.6,6.9,2.3,"Virginica"
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6,2.2,5,1.5,"Virginica"
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6.9,3.2,5.7,2.3,"Virginica"
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5.6,2.8,4.9,2,"Virginica"
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7.7,2.8,6.7,2,"Virginica"
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6.3,2.7,4.9,1.8,"Virginica"
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6.7,3.3,5.7,2.1,"Virginica"`;
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const DataBig = `"sepal.length","sepal.width","petal.length","petal.width","variety"
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5.1,3.5,1.4,.2,"Setosa"
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4.9,3,1.4,.2,"Setosa"
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4.7,3.2,1.3,.2,"Setosa"
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4.6,3.1,1.5,.2,"Setosa"
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5,3.6,1.4,.2,"Setosa"
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5.4,3.9,1.7,.4,"Setosa"
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4.6,3.4,1.4,.3,"Setosa"
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5,3.4,1.5,.2,"Setosa"
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4.4,2.9,1.4,.2,"Setosa"
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4.9,3.1,1.5,.1,"Setosa"
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5.4,3.7,1.5,.2,"Setosa"
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4.8,3.4,1.6,.2,"Setosa"
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4.8,3,1.4,.1,"Setosa"
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4.3,3,1.1,.1,"Setosa"
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5.8,4,1.2,.2,"Setosa"
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5.7,4.4,1.5,.4,"Setosa"
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5.4,3.9,1.3,.4,"Setosa"
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5.1,3.5,1.4,.3,"Setosa"
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5.7,3.8,1.7,.3,"Setosa"
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5.1,3.8,1.5,.3,"Setosa"
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5.4,3.4,1.7,.2,"Setosa"
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5.1,3.7,1.5,.4,"Setosa"
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4.6,3.6,1,.2,"Setosa"
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5.1,3.3,1.7,.5,"Setosa"
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4.8,3.4,1.9,.2,"Setosa"
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5,3,1.6,.2,"Setosa"
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5,3.4,1.6,.4,"Setosa"
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5.2,3.5,1.5,.2,"Setosa"
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5.2,3.4,1.4,.2,"Setosa"
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4.7,3.2,1.6,.2,"Setosa"
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4.8,3.1,1.6,.2,"Setosa"
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5.4,3.4,1.5,.4,"Setosa"
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5.2,4.1,1.5,.1,"Setosa"
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5.5,4.2,1.4,.2,"Setosa"
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4.9,3.1,1.5,.2,"Setosa"
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5,3.2,1.2,.2,"Setosa"
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5.5,3.5,1.3,.2,"Setosa"
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4.9,3.6,1.4,.1,"Setosa"
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4.4,3,1.3,.2,"Setosa"
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5.1,3.4,1.5,.2,"Setosa"
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5,3.5,1.3,.3,"Setosa"
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4.5,2.3,1.3,.3,"Setosa"
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4.4,3.2,1.3,.2,"Setosa"
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5,3.5,1.6,.6,"Setosa"
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5.1,3.8,1.9,.4,"Setosa"
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4.8,3,1.4,.3,"Setosa"
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5.1,3.8,1.6,.2,"Setosa"
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4.6,3.2,1.4,.2,"Setosa"
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5.3,3.7,1.5,.2,"Setosa"
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5,3.3,1.4,.2,"Setosa"
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7,3.2,4.7,1.4,"Versicolor"
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6.4,3.2,4.5,1.5,"Versicolor"
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6.9,3.1,4.9,1.5,"Versicolor"
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5.5,2.3,4,1.3,"Versicolor"
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6.5,2.8,4.6,1.5,"Versicolor"
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5.7,2.8,4.5,1.3,"Versicolor"
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6.3,3.3,4.7,1.6,"Versicolor"
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4.9,2.4,3.3,1,"Versicolor"
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6.6,2.9,4.6,1.3,"Versicolor"
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5.2,2.7,3.9,1.4,"Versicolor"
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5,2,3.5,1,"Versicolor"
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5.9,3,4.2,1.5,"Versicolor"
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6,2.2,4,1,"Versicolor"
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6.1,2.9,4.7,1.4,"Versicolor"
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5.6,2.9,3.6,1.3,"Versicolor"
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6.7,3.1,4.4,1.4,"Versicolor"
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5.6,3,4.5,1.5,"Versicolor"
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5.8,2.7,4.1,1,"Versicolor"
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6.2,2.2,4.5,1.5,"Versicolor"
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5.6,2.5,3.9,1.1,"Versicolor"
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5.9,3.2,4.8,1.8,"Versicolor"
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6.1,2.8,4,1.3,"Versicolor"
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6.3,2.5,4.9,1.5,"Versicolor"
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6.1,2.8,4.7,1.2,"Versicolor"
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6.4,2.9,4.3,1.3,"Versicolor"
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6.6,3,4.4,1.4,"Versicolor"
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6.8,2.8,4.8,1.4,"Versicolor"
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6.7,3,5,1.7,"Versicolor"
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6,2.9,4.5,1.5,"Versicolor"
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5.7,2.6,3.5,1,"Versicolor"
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5.5,2.4,3.8,1.1,"Versicolor"
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5.5,2.4,3.7,1,"Versicolor"
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5.8,2.7,3.9,1.2,"Versicolor"
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6,2.7,5.1,1.6,"Versicolor"
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5.4,3,4.5,1.5,"Versicolor"
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6,3.4,4.5,1.6,"Versicolor"
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6.7,3.1,4.7,1.5,"Versicolor"
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6.3,2.3,4.4,1.3,"Versicolor"
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5.6,3,4.1,1.3,"Versicolor"
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5.5,2.5,4,1.3,"Versicolor"
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5.5,2.6,4.4,1.2,"Versicolor"
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6.1,3,4.6,1.4,"Versicolor"
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5.8,2.6,4,1.2,"Versicolor"
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5,2.3,3.3,1,"Versicolor"
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5.6,2.7,4.2,1.3,"Versicolor"
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5.7,3,4.2,1.2,"Versicolor"
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5.7,2.9,4.2,1.3,"Versicolor"
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6.2,2.9,4.3,1.3,"Versicolor"
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5.1,2.5,3,1.1,"Versicolor"
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5.7,2.8,4.1,1.3,"Versicolor"
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6.3,3.3,6,2.5,"Virginica"
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5.8,2.7,5.1,1.9,"Virginica"
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7.1,3,5.9,2.1,"Virginica"
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6.3,2.9,5.6,1.8,"Virginica"
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6.5,3,5.8,2.2,"Virginica"
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7.6,3,6.6,2.1,"Virginica"
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4.9,2.5,4.5,1.7,"Virginica"
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7.3,2.9,6.3,1.8,"Virginica"
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6.7,2.5,5.8,1.8,"Virginica"
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7.2,3.6,6.1,2.5,"Virginica"
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6.5,3.2,5.1,2,"Virginica"
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6.4,2.7,5.3,1.9,"Virginica"
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6.8,3,5.5,2.1,"Virginica"
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5.7,2.5,5,2,"Virginica"
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5.8,2.8,5.1,2.4,"Virginica"
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6.4,3.2,5.3,2.3,"Virginica"
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6.5,3,5.5,1.8,"Virginica"
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7.7,3.8,6.7,2.2,"Virginica"
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7.7,2.6,6.9,2.3,"Virginica"
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6,2.2,5,1.5,"Virginica"
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6.9,3.2,5.7,2.3,"Virginica"
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5.6,2.8,4.9,2,"Virginica"
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7.7,2.8,6.7,2,"Virginica"
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6.3,2.7,4.9,1.8,"Virginica"
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6.7,3.3,5.7,2.1,"Virginica"
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7.2,3.2,6,1.8,"Virginica"
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6.2,2.8,4.8,1.8,"Virginica"
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6.1,3,4.9,1.8,"Virginica"
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6.4,2.8,5.6,2.1,"Virginica"
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7.2,3,5.8,1.6,"Virginica"
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7.4,2.8,6.1,1.9,"Virginica"
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7.9,3.8,6.4,2,"Virginica"
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6.4,2.8,5.6,2.2,"Virginica"
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6.3,2.8,5.1,1.5,"Virginica"
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6.1,2.6,5.6,1.4,"Virginica"
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7.7,3,6.1,2.3,"Virginica"
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6.3,3.4,5.6,2.4,"Virginica"
|
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6.4,3.1,5.5,1.8,"Virginica"
|
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6,3,4.8,1.8,"Virginica"
|
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6.9,3.1,5.4,2.1,"Virginica"
|
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6.7,3.1,5.6,2.4,"Virginica"
|
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6.9,3.1,5.1,2.3,"Virginica"
|
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5.8,2.7,5.1,1.9,"Virginica"
|
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6.8,3.2,5.9,2.3,"Virginica"
|
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6.7,3.3,5.7,2.5,"Virginica"
|
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6.7,3,5.2,2.3,"Virginica"
|
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6.3,2.5,5,1.9,"Virginica"
|
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6.5,3,5.2,2,"Virginica"
|
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6.2,3.4,5.4,2.3,"Virginica"
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5.9,3,5.1,1.8,"Virginica"`;
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31
m.test.js
31
m.test.js
@ -11,10 +11,10 @@ Deno.test("Iterate.Loop", ()=>
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assertEquals(cloud[0][0], 0);
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assertEquals(cloud[3][2], 5, "correct output");
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});
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Deno.test("Iterate.Copy", ()=>
|
||||
Deno.test("Iterate.Edit", ()=>
|
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{
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const c = [[1, 2], [3, 4]]
|
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const t = M.Iterate.Copy(c, (i)=>i);
|
||||
const t = M.Iterate.Edit(c, (i)=>i);
|
||||
assertEquals(t.length, c.length, "correct count");
|
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assertEquals(t[0][0], c[0][0], "correct dimensions");
|
||||
assertEquals(t[1][1], c[1][1], "correct placement");
|
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@ -146,39 +146,20 @@ Deno.test("Batch.Subtract", ()=>
|
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assertEquals(t[0].length, 2, "correct dimensions");
|
||||
assertEquals(t[1][0], 2.5, "correct placement");
|
||||
});
|
||||
Deno.test("Batch.Sig", ()=>
|
||||
Deno.test("Batch.Sigmoid", ()=>
|
||||
{
|
||||
const m = [[-1000, 1000]];
|
||||
const t = M.Batch.Sig(m);
|
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const t = M.Batch.Sigmoid(m);
|
||||
assertEquals(t.length, 1, "correct count");
|
||||
assertEquals(t[0].length, 2, "correct dimensions");
|
||||
assert(t[0][0]>=0 && t[0][0]<0.5);
|
||||
assert(t[0][1]<=1 && t[0][1]>0.5, "correct placement");
|
||||
|
||||
});
|
||||
Deno.test("Batch.SigDeriv", ()=>
|
||||
Deno.test("Batch.Derivative", ()=>
|
||||
{
|
||||
const m = [[-1000, 0, 1000]];
|
||||
const t = M.Batch.SigDeriv(M.Batch.Sig(m));
|
||||
const t = M.Batch.Derivative(M.Batch.Sigmoid(m));
|
||||
assertEquals(t.length, 1, "correct count");
|
||||
assertEquals(t[0].length, 3, "correct dimensions");
|
||||
assert(t[0][0]<t[0][1] && t[0][1]>t[0][2]);
|
||||
});
|
||||
|
||||
Deno.test("Batch.Rec", ()=>
|
||||
{
|
||||
const m = [[-1, 1, 10]];
|
||||
const t = M.Batch.Rec(m);
|
||||
assert(t[0][0] == 0);
|
||||
assert(t[0][1] == 1);
|
||||
assert(t[0][2] == 10);
|
||||
});
|
||||
Deno.test("Batch.RecDeriv", ()=>
|
||||
{
|
||||
const m = [[-1, 1, 10]];
|
||||
const t = M.Batch.RecDeriv(m);
|
||||
|
||||
assert(t[0][0] == 0);
|
||||
assert(t[0][1] == 1);
|
||||
assert(t[0][2] == 1);
|
||||
});
|
||||
25
m.ts
25
m.ts
@ -16,20 +16,22 @@ const Methods = {
|
||||
for(i=0; i<inCount; i++)
|
||||
{
|
||||
outputVector = [];
|
||||
for(j=0; j<inDimensions; j++){ outputVector.push(inFunction(j, i, outputVector)); }
|
||||
for(j=0; j<inDimensions; j++)
|
||||
{
|
||||
outputVector.push(inFunction(j, i, outputVector));
|
||||
}
|
||||
outputCloud.push(outputVector);
|
||||
}
|
||||
return outputCloud;
|
||||
},
|
||||
Copy: (inCloud:Cloud.M, inFunction:Cloud.HandleEdit):Cloud.M=> inCloud.map((row:Cloud.V):Cloud.V=> row.map(inFunction)),
|
||||
Edit: (inCloud:Cloud.M, inFunction:Cloud.HandleEdit):void => inCloud.forEach((row:Cloud.V):void=>row.forEach(inFunction))
|
||||
Edit: (inCloud:Cloud.M, inFunction:Cloud.HandleEdit):Cloud.M=> inCloud.map((row:Cloud.V):Cloud.V=>row.map(inFunction))
|
||||
},
|
||||
Create:
|
||||
{
|
||||
Box: (inV1:Cloud.V, inV2:Cloud.V, inCount:number):Cloud.M=> Methods.Iterate.Loop(inV1.length, inCount, i=> inV1[i]+(inV2[i]-inV1[i])*Math.random()),
|
||||
Transpose: (inCloud:Cloud.M):Cloud.M=> Methods.Iterate.Loop(inCloud.length, inCloud[0].length, (i, row)=> inCloud[i][row]),
|
||||
Outer: (inV1:Cloud.V, inV2:Cloud.V):Cloud.M=> Methods.Iterate.Loop(inV1.length, inV2.length, (i, row)=> inV1[i]*inV2[row]),
|
||||
Clone: (inCloud:Cloud.M):Cloud.M=> Methods.Iterate.Copy(inCloud, i=> i),
|
||||
Clone: (inCloud:Cloud.M):Cloud.M=> Methods.Iterate.Edit(inCloud, i=> i),
|
||||
Padded: (inCloud:Cloud.M):Cloud.M=> inCloud.map((row:Cloud.V)=> [...row, 1])
|
||||
},
|
||||
Mutate:
|
||||
@ -37,6 +39,13 @@ const Methods = {
|
||||
Pad: (inCloud:Cloud.M):Cloud.M=> {inCloud.forEach((row:Cloud.V)=> row.push(1)); return inCloud; },
|
||||
Unpad: (inCloud:Cloud.M):Cloud.M=> {inCloud.forEach((row:Cloud.V)=> row.pop()); return inCloud; }
|
||||
},
|
||||
Test:
|
||||
{
|
||||
Dot:(v1:Cloud.V, v2:Cloud.V):number=>
|
||||
{
|
||||
return v1.reduce((sum, current, index)=> sum + current*v2[index]);
|
||||
}
|
||||
},
|
||||
Single:
|
||||
{
|
||||
Subtract: (inV1:Cloud.V, inV2:Cloud.V):Cloud.V=> inV1.map((component, i)=> component-inV2[i]),
|
||||
@ -48,11 +57,9 @@ const Methods = {
|
||||
Subtract: (inCloud1:Cloud.M, inCloud2:Cloud.M):Cloud.M=> inCloud1.map((row:Cloud.V, rowIndex:number)=> Methods.Single.Subtract(row, inCloud2[rowIndex])),
|
||||
Multiply: (inCloud1:Cloud.M, inCloud2:Cloud.M):Cloud.M=> inCloud1.map((row:Cloud.V, rowIndex:number)=> Methods.Single.Multiply(row, inCloud2[rowIndex])),
|
||||
Affine: (inCloud1:Cloud.M, inCloud2:Cloud.M):Cloud.M=> inCloud1.map((row:Cloud.V)=> Methods.Single.Affine(row, inCloud2)),
|
||||
Sig: (inCloud:Cloud.M):Cloud.M=> Methods.Iterate.Copy(inCloud, i=>1/(1+Math.pow(Math.E, -i))),
|
||||
SigDeriv: (inCloud:Cloud.M):Cloud.M=> Methods.Iterate.Copy(inCloud, i=>i*(1-i)),
|
||||
Rec: (inCloud:Cloud.M):Cloud.M=> Methods.Iterate.Copy(inCloud, i=> i<=0 ? 0 : i),
|
||||
RecDeriv: (inCloud:Cloud.M):Cloud.M=> Methods.Iterate.Copy(inCloud, i=> i<=0 ? 0 : 1),
|
||||
Scale: (inCloud:Cloud.M, inScalar:number):Cloud.M=> Methods.Iterate.Copy(inCloud, i=>i*inScalar)
|
||||
Sigmoid: (inCloud:Cloud.M):Cloud.M=> Methods.Iterate.Edit(inCloud, i=>1/(1+Math.pow(Math.E, -i))),
|
||||
Derivative: (inCloud:Cloud.M):Cloud.M=> Methods.Iterate.Edit(inCloud, i=>i*(1-i)),
|
||||
Scale: (inCloud:Cloud.M, inScalar:number):Cloud.M=> Methods.Iterate.Edit(inCloud, i=>i*inScalar)
|
||||
}
|
||||
};
|
||||
|
||||
|
||||
@ -17,6 +17,7 @@ Deno.test("NN.Split", ()=>
|
||||
assert(input);
|
||||
assert(output);
|
||||
assertEquals(input.length, output.length, "data split into equal input and output");
|
||||
console.log(output);
|
||||
|
||||
assertEquals(input[0].length, 2, "unpadded input");
|
||||
assertEquals(output[0].length, 2, "unpadded output");
|
||||
@ -43,8 +44,7 @@ Deno.test("NN.Label", ()=>
|
||||
|
||||
Deno.test("NN.Learn", ()=>
|
||||
{
|
||||
let error = Learn(input, layers, output, 50, 0.2);
|
||||
console.log(error);
|
||||
let error = Learn(input, layers, output, 1000, 0.1);
|
||||
assertEquals(error.length, output.length);
|
||||
let total = 0;
|
||||
let count = error.length*error[0].length;
|
||||
|
||||
21
nn.ts
21
nn.ts
@ -5,8 +5,7 @@ const Forward = (inData:Cloud.M, inLayers:N):N =>
|
||||
{
|
||||
let i:number;
|
||||
let stages:N = [inData];
|
||||
let nonLinear = (inIndex:number):any=> inIndex >= inLayers.length-1 ? M.Batch.Sig : M.Batch.Rec;
|
||||
let process = (index:number):Cloud.M => nonLinear(index)(M.Batch.Affine(stages[index], inLayers[index]));
|
||||
let process = (index:number):Cloud.M => M.Batch.Sigmoid(M.Batch.Affine(stages[index], inLayers[index]));
|
||||
|
||||
for(i=0; i<inLayers.length-1; i++){ stages[i+1] = M.Mutate.Pad(process(i)); }
|
||||
stages[i+1] = process(i);
|
||||
@ -16,11 +15,10 @@ const Backward = (inStages:N, inLayers:N, inGoals:Cloud.M, inRate:number):N =>
|
||||
{
|
||||
let i:number;
|
||||
let errorBack:Cloud.M = M.Batch.Subtract(inStages[inStages.length-1], inGoals);
|
||||
let nonLinear = (inIndex:number):any=> inIndex >= inLayers.length-1 ? M.Batch.SigDeriv : M.Batch.RecDeriv;
|
||||
|
||||
for(i=inLayers.length-1; i>=0; i--)
|
||||
{
|
||||
let errorScaled:Cloud.M = M.Batch.Multiply(errorBack, nonLinear(i)(inStages[i+1]));
|
||||
let errorScaled:Cloud.M = M.Batch.Multiply(errorBack, M.Batch.Derivative(inStages[i+1]));
|
||||
errorBack = M.Batch.Affine(errorScaled, M.Create.Transpose(inLayers[i]));
|
||||
errorScaled.forEach((inScaledError:Cloud.V, inIndex:number)=>
|
||||
{
|
||||
@ -58,21 +56,10 @@ const Build = (...inLayers:Array<number>):N =>
|
||||
}
|
||||
return output;
|
||||
};
|
||||
const Label = (inData:Cloud.M, inLayers:N, inRound:boolean):Cloud.M =>
|
||||
const Label = (inData:Cloud.M, inLayers:N):Cloud.M =>
|
||||
{
|
||||
let stages:N = Forward(M.Create.Padded(inData), inLayers);
|
||||
let output = stages[stages.length-1];
|
||||
if(inRound)
|
||||
{
|
||||
output.forEach(row=>
|
||||
{
|
||||
row.forEach((cell, i)=>
|
||||
{
|
||||
row[i] = (Math.round(cell * 100) / 100);
|
||||
});
|
||||
});
|
||||
}
|
||||
return output;
|
||||
return stages[stages.length-1];
|
||||
};
|
||||
const Learn = (inData:Cloud.M, inLayers:N, inLabels:Cloud.M, inIterations:number, inRate:number):Cloud.M =>
|
||||
{
|
||||
|
||||
Loading…
Reference in New Issue
Block a user