import * as assert from "assert"; import {AttributeType} from "../../dist/Attribute/AttributeType"; import {DataDefinition} from "../../dist/DataSet/DataDefinition"; import {DataSet} from "../../dist/DataSet/DataSet"; import {KnnParameter} from "../../dist/Parameter/KnnParameter"; import {EuclidianDistance} from "../../dist/DistanceMetric/EuclidianDistance"; import {KnnModel} from "../../dist/Model/NonParametric/KnnModel"; describe('KnnTest', function() { describe('KnnTest', function() { let knn = new KnnModel() let knnParameter = new KnnParameter(1, 3, new EuclidianDistance()) let attributeTypes = new Array(); for (let i = 0; i < 4; i++){ attributeTypes.push(AttributeType.CONTINUOUS) } let dataDefinition = new DataDefinition(attributeTypes) let iris = new DataSet(dataDefinition, ",", "datasets/iris.data") attributeTypes = new Array(); for (let i = 0; i < 6; i++){ attributeTypes.push(AttributeType.CONTINUOUS) } dataDefinition = new DataDefinition(attributeTypes) let bupa = new DataSet(dataDefinition, ",", "datasets/bupa.data") attributeTypes = new Array() for (let i = 0; i < 34; i++){ attributeTypes.push(AttributeType.CONTINUOUS) } dataDefinition = new DataDefinition(attributeTypes) let dermatology = new DataSet(dataDefinition, ",", "datasets/dermatology.data") attributeTypes = new Array() for (let i = 0; i < 6; i++){ attributeTypes.push(AttributeType.DISCRETE) } dataDefinition = new DataDefinition(attributeTypes); let car = new DataSet(dataDefinition, ",", "datasets/car.data"); attributeTypes = new Array() for (let i = 0; i < 9; i++){ attributeTypes.push(AttributeType.DISCRETE) } dataDefinition = new DataDefinition(attributeTypes); let tictactoe = new DataSet(dataDefinition, ",", "datasets/tictactoe.data") it('testTrain', function() { knn.train(iris.getInstanceList(), knnParameter); assert.ok(Math.abs(4.00 - 100 * knn.test(iris.getInstanceList()).getErrorRate()) <= 0.01); knn.train(bupa.getInstanceList(), knnParameter); assert.ok(Math.abs(19.42 - 100 * knn.test(bupa.getInstanceList()).getErrorRate()) <= 0.01); knn.train(dermatology.getInstanceList(), knnParameter); assert.ok(Math.abs(3.00 - 100 * knn.test(dermatology.getInstanceList()).getErrorRate()) <= 0.01); knn.train(car.getInstanceList(), knnParameter); assert.ok(Math.abs(20.31 - 100 * knn.test(car.getInstanceList()).getErrorRate()) <= 0.01); knn.train(tictactoe.getInstanceList(), knnParameter); assert.ok(Math.abs(32.57 - 100 * knn.test(tictactoe.getInstanceList()).getErrorRate()) <= 0.01); }); it('testLoad', function() { knn.loadModel("models/knn-iris.txt"); assert.ok(Math.abs(4.00 - 100 * knn.test(iris.getInstanceList()).getErrorRate()) <= 0.01); knn.loadModel("models/knn-bupa.txt"); assert.ok(Math.abs(19.42 - 100 * knn.test(bupa.getInstanceList()).getErrorRate()) <= 0.01); knn.loadModel("models/knn-dermatology.txt"); assert.ok(Math.abs(3.00 - 100 * knn.test(dermatology.getInstanceList()).getErrorRate()) <= 0.01); knn.loadModel("models/knn-car.txt"); assert.ok(Math.abs(29.98 - 100 * knn.test(car.getInstanceList()).getErrorRate()) <= 0.01); knn.loadModel("models/knn-tictactoe.txt"); assert.ok(Math.abs(34.66 - 100 * knn.test(tictactoe.getInstanceList()).getErrorRate()) <= 0.01); }); }); });