Package index • vennabers

Package overview

vennabers vennabers-package: Venn-Abers Classification and Regression Calibration
vennabers_examples: Find and Run Venn-Abers Example Scripts

venn_abers(): Fit an Inductive Venn-Abers Calibrator
cross_venn_abers(): Fit a Binary or Multiclass Cross Venn-Abers Calibrator
venn_abers_regression() predict(<venn_abers_regression>): Moderated Inductive Venn-Abers Regression
cross_venn_abers_regression() predict(<cross_venn_abers_regression>): Manual Cross Venn-Abers Regression with Matched Fold Models
predict(<venn_abers>): Predict with a Venn-Abers Calibrator
predict(<cross_venn_abers>): Predict with Matched Fold-Model Probabilities

calibrated_workflow() predict(<_vennabers_fit>): Train a Calibrated Classification or Regression Workflow
calibrate_workflow() predict(<vennabers_frozen>) print(<vennabers_frozen>): Calibrate a Frozen Workflow
model_adapter(): Own Fit and Predict Functions as a Workflow Model
local_calibration_splits(): Resolve Prepared Local Calibration Splits
venn_abers_schema() venn_abers_encode() venn_abers_decode(): Reversible Names for Calibrated Workflows
workflow_training: Calibrated Workflow Training Reference
workflow_postprocessing: Postprocessing Before Workflow Calibration
venn_abers_tuning(): Inspect Classification or Regression Grid or Bayes Selection
venn_abers_details(): Inspect Calibrated Workflow Predictions

brier_score() log_loss(): Score Classification Probabilities
calibration_plot(): Plot Classification Probability Calibration
corp_plot() corp_decomposition_plot(): Assess Calibration with CORP Reliability Diagrams
regression_plot(): Assess Regression Predictions on Held-Out Pairs
plot(<venn_abers>) plot(<cross_venn_abers>) plot(<venn_abers_regression>) plot(<cross_venn_abers_regression>) plot(<vennabers_fit>): Plot the Calibration Map of a Fitted Venn-Abers Calibrator
venn_abers_one_hot(): One-Hot Matrices of Class Decisions
print(<venn_abers>): Print a Venn-Abers Calibrator
print(<cross_venn_abers>): Print a Cross Venn-Abers Calibrator