Data Science, Machine Learning, Causal Inference, AI, Linear Programming.
different treatment interactions to allow us to simulate different treatment effects. User generated image def data_generator(tau_weight, interaction_num): # Set number of observations n=10000 # Set number of features p=10 # Create features X = np.random.uniform(size=n * p).reshape((n, -1)) #