InterruptedTimeSeries.get_plot_data_bayesian#
- InterruptedTimeSeries.get_plot_data_bayesian(hdi_prob=0.94, response_type='expectation')[source]#
Recover the data of the experiment along with the prediction and causal impact information.
- Parameters:
hdi_prob (float, default=0.94) – Probability for which the highest density interval will be computed. The default value is defined as the default from the
arviz.hdi()function.response_type ({"expectation", "prediction"}, default="expectation") –
The response type to use for predictions and impact:
"expectation": Uses the model expectation (μ). Excludes observation noise, focusing on the systematic causal effect."prediction": Uses the full posterior predictive (ŷ). Includes observation noise, showing the full predictive uncertainty.
- Return type: