Technical Deep Dive, Forecasting, Data Science, Model Validation, Evaluation Metric.
rng.lognormal(1, 1.01, num_samples).reshape(-1, 1) plt.figure(figsize=(12, 6)) gs = GridSpec(1, 2, width_ratios=[3, 1]) # Plot the time-series on the left subplot ax1 = plt.subplot(gs[0]) ax1.plot(synthetic_ts, color="black", label="samples") ax1.hlines(np.mean(synthetic_ts), 0, num_samples,