R: Tidy Drift Detection for Monitored Machine Learning Models

# Tidy Drift Detection for Monitored Machine Learning Models

## Documentation for package ‘deriva’ version 0.1.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

add_prediction_error | Build a drift signal from model predictions
advance | Advance a fitted drift detector over a new batch
advance.drift_detector_fit | Advance a fitted drift detector over a new batch
augment.drift_detector_fit | Annotated observations from a fitted drift detector
autoplot.drift_detector_fit | Plot the monitored signal with drift markings
detect_drift | Detect drift in a signal column (one-shot shortcut)
drift_detector | Specify a drift detector
fit.drift_detector | Fit a drift detector on a baseline period
glance.drift_detector_fit | One-row summary of a fitted detector
sim_dist_stream | Simulate a continuous stream with a known distribution-shift point
sim_drift_stream | Simulate a binary error stream with a known drift point
tidy.drift_detector_fit | Drift points of a fitted detector