An anomaly detector is a predictive model that can help identify the instances within a dataset that do not conform to a regular pattern. It can be useful for tasks like data cleansing, identifying unusual instances, or, given a new data point, deciding whether a model is competent to make a prediction or not. The complete and updated reference with all available parameters is in our
documentation website.
