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| let testData = createData(100) | |
| func evaluatePerceptron(p: Perceptron, testData: [PerceptronDataPair]) -> Double { | |
| var correct = 0 | |
| for d in testData { | |
| let prediction = p.feedForward(d.input) | |
| if (prediction == d.output) { | |
| correct += 1 | |
| } | |
| } | |
| return Double(correct) / Double(testData.count) | |
| } | |
| evaluatePerceptron(p, testData: testData) | |
| let pUntrained = Perceptron(numInputs: 1, offState: -1, bias: 1) | |
| evaluatePerceptron(pUntrained, testData: testData) |
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