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
  • Multi-view...

Multi-view learning with Decision-trees#

Examples demonstrating multi-view learning using random forest variants.

Analyze a multi-view dataset with a multi-view random forest

Analyze a multi-view dataset with a multi-view random forest

previous

Plot honest forest calibrations on overlapping gaussian simulations

next

Analyze a multi-view dataset with a multi-view random forest

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

Built with the PyData Sphinx Theme 0.14.1.