Tue 27 Aug 00:14:56 CEST 2024
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								test/test-dt1.js
									
									
									
									
									
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								test/test-dt1.js
									
									
									
									
									
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var x = [[0, 0, 0], [0, 1, 1], [1, 1, 0], [2, 2, 2], [1, 2, 2], [2, 1, 2]];
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var y = ['A', 'A', 'B', 'B', 'C', 'C'];
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var model = ml.learn({
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  algorithm:ml.ML.DT,
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  x:x, 
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  y:y,
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  eps:0.2
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});
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print(toJSON(model).length+' Bytes')
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var test_data =[[0, 1.2, 0],
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                [2.1, 2, 3],
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                [2.1,1.1,2.0]];
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print(ml.print(model))
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print(ml.classify(model,x))
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print(ml.classify(model,x.map(function (row) { return row.map(function (col) { return col+random(-0.3,0.3,0.001) })})))
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print(ml.classify(model,test_data))
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print(ml.classify(model,[1,2,3]))
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