Data Science, Causal Inference, Machine Learning, Optimization, Notes From Industry.
learning algorithm and including the treatment and covariates as features: def train_slearner(X_train, y_train): model = LGBMRegressor(random_state=42) model.fit(X_train, y_train) yhat_train = model.predict(X_train) mse_train = mean_squared_error(y_train, yhat_train) r2_train = r2_score(y_train,