kshirsagarsiddharth
/ simple_generator.py
Created
July 27, 2020 07:26
example of a generator function
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| def generator_function(): | |
| value = 1 | |
| print("This is printed first") | |
| yield value | |
| value += 1 | |
| print("This is printed second") | |
| yield value | |
| value += 1 |
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| class HashTable(object): | |
| def __init__(self): | |
| self.max_length = 8 | |
| self.max_load_factor = 0.75 | |
| self.length = 0 | |
| self.table = [None] * self.max_length | |
| def __len__(self): | |
| return self.length |
Leon-Ray
/ lrCostFunction
Last active
January 31, 2022 22:40
Vectorized logistic regression with regularization using gradient descent for the Coursera course Machine Learning. Cost function (J) and partial derivatives of the cost w.r.t. each parameter in theta (grad).
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| len = size(theta); | |
| J = 1/m*(-y'*log(sigmoid(X*theta))-(1-y)'*log(1-sigmoid(X*theta))) + lambda/(2*m)*sum(theta(2:len).^2); | |
| grad = 1./m*((sigmoid(X*theta)-y)'*X); | |
| temp = theta; | |
| temp(1) = 0; | |
| grad = grad + (lambda/m.*temp)'; |