Technical Deep Dive, Forecasting, Data Science, Model Validation, Evaluation Metric.
implemented from scratch. import numpy as np import matplotlib.pyplot as plt # Naïve Forecast def naive_forecast(history, horizon): return np.ones(horizon) * history[-1] # Seasonal Naïve Forecast def seasonal_naive_forecast(history, k, horizon): for i in range(horizon): history.append(history[-k])