Function reference • datadriftR

High-Level Interface

Simple function for quick drift detection

detect_drift(): Detect Data Drift in Streaming Data

Error-Rate Based Detectors

Detectors that monitor error rates

DDM: DDM (Drift Detection Method)

EDDM: EDDM (Early Drift Detection Method)

Hoeffding Bound Methods

Detectors using Hoeffding’s inequality

HDDM_A: HDDM_A: Drift Detection Method based on Adaptive Windows

HDDM_W: KSWIN (Kolmogorov-Smirnov WINdowing) for Change Detection

Distribution-Based Detectors

Statistical test-based methods

KSWIN: KSWIN (Kolmogorov-Smirnov WINdowing) for Change Detection

KLDivergence: Kullback-Leibler Divergence (KLD) for Change Detection

ADWIN: ADWIN (ADaptive WINdowing) Drift Detector

Sequential Analysis Methods

Cumulative statistics methods

PageHinkley: Page-Hinkley Test for Change Detection

Profile-Based Methods

Functional data analysis methods

ProfileDifference: Profile Difference Calculation for Change Detection