56 lines
2.2 KiB
JavaScript
56 lines
2.2 KiB
JavaScript
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/*
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Copyright (c) 2012 Andrej Karpathy
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Permission is hereby granted, free of charge, to any person obtaining
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a copy of this software and associated documentation files (the
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"Software"), to deal in the Software without restriction, including
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without limitation the rights to use, copy, modify, merge, publish,
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distribute, sublicense, and/or sell copies of the Software, and to
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permit persons to whom the Software is furnished to do so, subject to
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the following conditions:
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The above copyright notice and this permission notice shall be
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included in all copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
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EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
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MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
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NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
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LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
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OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
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WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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*/
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var RandomForestClassifier = new require('../lib/apparatus/classifier/randomforest_classifier');
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describe('randomforest', function() {
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it('should perform binary classifcation', function() {
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var randomforest = new RandomForestClassifier();
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randomforest.addExample([-0.4326, 1.1909 ], 1);
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randomforest.addExample([1.5 , 3.0 ], 1);
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randomforest.addExample([0.1253 , -0.0376 ], 1);
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randomforest.addExample([0.2877 , 0.3273 ], 1);
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randomforest.addExample([-1.1465, 0.1746 ], 1);
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randomforest.addExample([1.8133 , 2.1139 ], -1);
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randomforest.addExample([2.7258 , 3.0668 ], -1);
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randomforest.addExample([1.4117 , 2.0593 ], -1);
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randomforest.addExample([4.1832 , 1.9044 ], -1);
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randomforest.addExample([1.8636 , 1.1677 ], -1);
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randomforest.train();
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expect(randomforest.classify([-0.5 , -0.5 ])).toBe(1);
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// random forest are not deterministic, check on average it works
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var count = 0;
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for(var tests=0; tests<200; tests++){
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randomforest.train();
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if(randomforest.classify([1.0, 2.0]) == 1) {
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count++;
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}
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}
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expect(count).toBeGreaterThan(50);
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});
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});
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