I can see from your code that you’re doing it wrong as I’ve successfully used likelihood, and although the first 400-ish values were indeed 0.5, all the rest were other than 0.5.
Insert these lines inside my template code in process_input.py at the corresponding line numbers
31 | from nupic.algorithms import anomaly_likelihood
44 | anomaly_likelihood_helper = anomaly_likelihood.AnomalyLikelihood()
218 | outputRow = [row[0], row[predicted_field_row], “prediction”, “anomaly score”, “anomaly likelihood”]
251 | anomaly_likelihood_score = anomaly_likelihood_helper.anomalyProbability(original_value, anomaly_score, time_index)
254 | outputRow = [time_index, original_value, “%0.2f” % inference, anomaly_score, anomaly_likelihood_score]