PUNCC

Contents

  • 🚀 Quickstart
    • 📈 Conformal Regression
      • 💾 Diabetes Dataset
      • 🔮 Prediction model
      • ⚙️ Conformal prediction
    • 📊 Conformal Classification
      • 💾 MNIST Dataset
      • 🔮 Prediction Model
      • ⚙️ Conformal prediction
    • 🚩 Conformal Anomaly Detection
      • 💾 Two moons Dataset
      • 🔮 Anomaly detection model
      • ⚙️ Conformal Anomaly Detection
  • 📈 Regression
    • SplitCP
      • SplitCP.fit()
      • SplitCP.get_nonconformity_scores()
      • SplitCP.predict()
    • LocallyAdaptiveCP
      • LocallyAdaptiveCP.fit()
      • LocallyAdaptiveCP.get_nonconformity_scores()
      • LocallyAdaptiveCP.predict()
    • CQR
      • CQR.fit()
      • CQR.get_nonconformity_scores()
      • CQR.predict()
    • CVPlus
      • CVPlus.fit()
      • CVPlus.get_nonconformity_scores()
      • CVPlus.predict()
    • EnbPI
      • EnbPI.fit()
      • EnbPI.predict()
    • AdaptiveEnbPI
      • AdaptiveEnbPI.fit()
      • AdaptiveEnbPI.predict()
  • 📊 Classification
    • LAC
      • LAC.fit()
      • LAC.get_nonconformity_scores()
      • LAC.predict()
    • RAPS
      • RAPS.fit()
      • RAPS.predict()
    • APS
      • APS.fit()
      • APS.predict()
  • 🖼️ Object Detection
    • SplitBoxWise
      • SplitBoxWise.fit()
      • SplitBoxWise.get_nonconformity_scores()
      • SplitBoxWise.predict()
  • 🚩 Anomaly detection
    • SplitCAD
      • SplitCAD.fit()
      • SplitCAD.predict()
  • 💻 API
    • API’s Modules
      • Conformalization
        • ConformalPredictor
        • CrossValCpAggregator
      • Prediction
        • BasePredictor
        • DualPredictor
        • IdPredictor
        • MeanVarPredictor
      • Experimental
        • TorchPredictor
      • Calibration
        • BaseCalibrator
        • CvPlusCalibrator
        • ScoreCalibrator
      • Splitting
        • BaseSplitter
        • IdSplitter
        • RandomSplitter
        • KFoldSplitter
      • Utils
        • alpha_calib_check()
        • quantile()
        • hungarian_assignment()
      • Nonconformity scores
        • absolute_difference()
        • cqr_score()
        • difference()
        • lac_score()
        • raps_score()
        • raps_score_builder()
        • scaled_ad()
        • scaled_bbox_difference()
      • Prediction sets
        • constant_bbox()
        • constant_interval()
        • cqr_interval()
        • lac_set()
        • raps_set()
        • raps_set_builder()
        • scaled_bbox()
        • scaled_interval()
    • Overview
      • ConformalPredictor
      • Predictor
      • Calibrator
      • Splitter
  • 📏 Metrics
    • classification_mean_coverage()
    • classification_mean_size()
    • iou()
    • object_detection_mean_area()
    • object_detection_mean_coverage()
    • regression_ace()
    • regression_mean_coverage()
    • regression_sharpness()
  • 🖼️ Plotting
    • draw_bounding_box()
    • plot_prediction_intervals()
  • 📈 Theory overview
    • Uncertainty Quantification
    • Conformal Prediction
    • Conformal Regression
      • Split (inductive) Conformal
        • Locally Adaptive Conformal Regression
        • Conformalized Quantile Regression (CQR)
      • Cross-validation+ (CV+), Jackknife+
      • Ensemble Batch Prediction Intervals (EnbPI)
    • Conformal Classification
      • Least Ambiguous Set-Valued Classifiers (LAC)
      • Adaptive Prediction Sets (APS)
      • Regularized Adaptive Prediction Sets (RAPS)
    • Conformal Anomaly Detection
    • Conformal Object Detection
    • References
PUNCC
  • Search

© Copyright 2022, IRT Antoine de Saint Exupéry - All rights reserved. DEEL is a research program operated by IVADO, IRT Saint Exupéry, CRIAQ and ANITI.

Built with Sphinx using a theme provided by Read the Docs.