def load():
data = load_data.load_mat('ex3data1.mat')
X_Origin = data['X']
ones = np.ones((X_Origin.shape[0], 1))
X = np.c_[ones, X_Origin]
y = data['y']
weight = load_data.load_mat('ex3weights.mat')
theta1 = weight['Theta1']
theta2 = weight['Theta2']
print('theta1 and theta2 are {0} and {1}'.format(theta1.shape,
theta2.shape))
return X, y, theta1, theta2
def load(show = False):
data = load_data.load_mat('ex8data1.mat')
if show:
print('X ================')
print(data['X'])
print('Xval ================')
print(data['Xval'])
print('yval ================')
print(data['yval'])
return data['X'], data['Xval'], data['yval']
def main():
data = load_data.load_mat('ex3data1.mat')
X_Orign = data['X']
y = data['y']
ones = np.ones((X_Orign.shape[0], 1))
X = np.c_[ones, X_Orign]
print('X and y shapes are {0} {1}'.format(X.shape, y.shape))
all_theta = calc(10, 0.2, X, y)
predict_values = predict(all_theta, X)
print('Training set accuracy: {} %'.format(np.mean(predict_values == y.ravel()) * 100))
def load():
data = load_data.load_mat('ex7data1.mat')
return data['X']
def load():
data = load_data.load_mat('ex6data3.mat')
X = data['X']
y = data['y']
return X, y