LogoLogo
search
⌘Ctrlk
LogoLogo
  • Overview
  • Getting Started
  • Algorithm Overview
  • Saving and Loading
  • Detector Configuration Files
  • Outlier Detection
  • Drift Detection
    • Methods
      • Offline
        • Chi-Squared
        • Kolmogorov-Smirnov
        • Cramér-von Mises
        • Fisher’s Exact Test
        • Maximum Mean Discrepancy
        • Least-Squares Density Difference
        • Learned Kernel
        • Classifier
        • Spot-the-diff
        • Model Uncertainty
        • Mixed-type tabular data
        • Context-Aware Maximum Mean Discrepancy
      • Online
    • Examples
  • Adversarial Detection
  • Deployment
  • Datasets
  • Models
  • Bibliography
  • API Reference
    • alibi_detect.ad
    • alibi_detect.base
    • alibi_detect.cd
    • alibi_detect.datasets
    • alibi_detect.exceptions
    • alibi_detect.models
    • alibi_detect.od
    • alibi_detect.saving
    • alibi_detect.utils
    • alibi_detect.version
gitbookPowered by GitBook
block-quoteOn this pagechevron-down
githubEdit
  1. Drift Detectionchevron-right
  2. Methods

Offline

Chi-Squaredchevron-rightKolmogorov-Smirnovchevron-rightCramér-von Miseschevron-rightFisher’s Exact Testchevron-rightMaximum Mean Discrepancychevron-rightLeast-Squares Density Differencechevron-rightLearned Kernelchevron-rightClassifierchevron-rightSpot-the-diffchevron-rightModel Uncertaintychevron-rightMixed-type tabular datachevron-rightContext-Aware Maximum Mean Discrepancychevron-right
PreviousMethodschevron-leftNextChi-Squaredchevron-right

Last updated 1 year ago

Was this helpful?

Was this helpful?