Advance a fitted drift detector over a new batch

Feeds a new batch of observations (any size, including 1 — stream mode) to the detector and returns a NEW fitted object with the engine state advanced and the annotated batch appended to the history (truncated to the last keep rows of the spec). The original object is not modified. This is the only way to persist state; see augment() for a read-only preview.

Usage

advance(object, ...)

# S3 method for class 'drift_detector_fit'
advance(object, new_data, ...)

Arguments

object: A drift_detector_fit.
...: Passed to methods.
new_data: A data frame with the new batch, in temporal order, containing the same signal column used in fit(). It must have the same columns as the data given to fit(); deriva's own columns (.warning, .drift, .phase) must not be present.

Value

A new drift_detector_fit.

Details

Why not update(): in the tidymodels ecosystem update() on a spec means "change hyperparameters", so deriva defines its own verb.

Examples

base <- sim_drift_stream(n_pre = 100, n_post = 0, seed = 1)
f0 <- fit(drift_detector("ddm"), base, signal = error)
f1 <- advance(f0, sim_drift_stream(n_pre = 0, n_post = 50, seed = 2))