Created
February 21, 2019 15:08
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def model(X_train, Y_train, X_test, Y_test, num_iterations=2000, learning_rate=0.5, print_cost=False): | |
#Initialize parameters with 0s | |
w, b = initialize_with_zeros(X_train.shape[0]) | |
#Gradient descent | |
parameters, grads, costs = optimize(w, b, X_train, Y_train, num_iterations, learning_rate, print_cost) | |
#Retrive parameters w, b from dictionary | |
w = parameters['w'] | |
b = parameters['b'] | |
#Predict test/train set examples | |
Y_prediction_test = predict(w, b, X_test) | |
Y_prediction_train = predict(w, b, X_train) | |
#Print test/train errors | |
print("train accuracy: {} %".format(100 - np.mean(np.abs(Y_prediction_train - Y_train)) * 100)) | |
print("test accuracy: {} %".format(100 - np.mean(np.abs(Y_prediction_test - Y_test)) * 100)) | |
d = {'costs': costs, | |
'Y_prediction_test': Y_prediction_test, | |
'Y_prediction_train': Y_prediction_train, | |
'w': w, | |
'b': b, | |
'learning_rate': learning_rate, | |
'num_iterations': num_iterations} | |
return d |
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