Data Science, Causal Inference, Machine Learning, Optimization, Notes From Industry.
np.random.seed(1234) n=100000 y_train_1, X_train_1, T_mm_1, tau_1 = data_generator(n, 1.00, 2, 5000) y_train_2, X_train_2, T_mm_2, tau_2 = data_generator(n, 0.25, 2, 5000) y_train_3, X_train_3, T_mm_3, tau_3 = data_generator(n, 2.00, 2, 5000) S-Learner We can train an S-Learner by using any machine