def main():
hsic_lasso = HSICLasso()
hsic_lasso.input("../tests/test_data/csv_data_mv.csv",
output_list=['output1', 'output2'])
hsic_lasso.regression(5)
hsic_lasso.dump()
hsic_lasso.plot_path()
def main():
#Numpy array input example
hsic_lasso = HSICLasso()
data = sio.loadmat("../tests/test_data/matlab_data.mat")
X = data['X'].transpose()
Y = data['Y'][0]
featname = ['Feat%d' % x for x in range(1, X.shape[1] + 1)]
hsic_lasso.input(X, Y, featname=featname)
hsic_lasso.regression(5)
hsic_lasso.dump()
hsic_lasso.plot_path()
#Save parameters
hsic_lasso.save_param()
def main():
hsic_lasso = HSICLasso()
hsic_lasso.input("../tests/test_data/matlab_data.mat")
hsic_lasso.regression(5)
hsic_lasso.dump()
hsic_lasso.plot_path()
