def get_prediction_params(fit_model, start_interval, end_interval):
    """Gets the prediction params for the given intervals."""
    print(f"Intervals to predict: {start_interval} to {end_interval}")
    forecasts = fit_model.get_prediction(start=start_interval, end=end_interval)

    pdf_params = []
    confidence_level = 0.68
    alpha = 1 - confidence_level
    summary = forecasts.summary_frame(alpha=alpha)
    print(summary)
    for index, row in summary.iterrows():
        mu = row['mean']
        sigma = row['mean_ci_upper'] - mu
        pdf_params.append({'mean': mu, 'std_dev': sigma})

    return pdf_params