Skip to main content
Ctrl+K

treeple 0.9.0dev0 documentation

Site Navigation

  • API Documentation
  • User Guide
  • Release History
  • Installation
  • Examples using treeple
  • GitHub

Site Navigation

  • API Documentation
  • User Guide
  • Release History
  • Installation
  • Examples using treeple
  • GitHub

Section Navigation

  • Calibrated decision trees via honesty
    • Plot honest forest calibrations on overlapping gaussian simulations
  • Multi-view learning with Decision-trees
    • Analyze a multi-view dataset with a multi-view random forest
  • Outlier-detection
    • ExtendedIsolationForest example
  • Quantile Predictions with Random Forest
    • Predicting with different quantile interpolation methods
    • Quantile prediction intervals with Random Forest Regressor
    • Quantile prediction with Random Forest Regressor class
    • Quantile regression with oblique regression forest
  • Comparing sklearn and treeple decision trees
    • Plot the decision surface of decision trees trained on the iris dataset
  • Sparse oblique projections with oblique decision-trees
    • Compare extra oblique forest and oblique random forest predictions on cc18 datasets
    • Speed of Extra Oblique Random Forest vs Oblique Random Forest on different dataset sizes
    • Plot oblique forest and axis-aligned random forest predictions on sparse parity simulation
    • Compare the decision surfaces of oblique extra-trees with standard oblique trees
    • Plot oblique forest and axis-aligned random forest predictions on cc18 datasets
  • Decision-tree splitters
    • Demonstrate and visualize a multi-view projection matrix for an axis-aligned tree
    • Plot the projection matrices of an oblique tree for sampling images, or time-series
    • Plot the sparse projection matrices of an oblique tree
  • Treeple for Hypothesis Testing
    • Estimating true posteriors & statistics
    • Calculating S@98
    • Calculating MI
    • Calculating pAUC
    • Calculating Hellinger Distance
    • Calculating p-value (MIGHT)
    • Calculating S@98 with multiview data
    • Calculating CMI
    • Calculating p-value with multiview data (CoMIGHT)
  • Examples using treeple
  • Calibrated...

Calibrated decision trees via honesty#

Examples demonstrating the usage of honest decision trees to obtain calibrated predictions.

Plot honest forest calibrations on overlapping gaussian simulations

Plot honest forest calibrations on overlapping gaussian simulations

previous

Examples using treeple

next

Plot honest forest calibrations on overlapping gaussian simulations

© Copyright 2022-2024, treeple Developers. Last updated on 2024-10-11.

Built with the PyData Sphinx Theme 0.14.1.