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Prateeksha Singh pratu16x7
arsenyturin
/ logistic-regression.py
Last active
October 3, 2021 00:13
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| from numpy import log, dot, e | |
| from numpy.random import rand | |
| class LogisticRegression: | |
| def sigmoid(self, z): return 1 / (1 + e**(-z)) | |
| def cost_function(self, X, y, weights): | |
| z = dot(X, weights) | |
| predict_1 = y * log(self.sigmoid(z)) |
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