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scikit-tree 0.5.0dev0 documentation

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  • API Documentation
  • User Guide
  • Release History
  • Installation
  • Examples using scikit-tree
  • GitHub

Site Navigation

  • API Documentation
  • User Guide
  • Release History
  • Installation
  • Examples using scikit-tree
  • GitHub

Section Navigation

  • Calibrated decision trees via honesty
    • Plot honest forest calibrations on overlapping gaussian simulations
  • Hypothesis testing with decision trees
    • Co-MIGHT when Data Exhibits Conditional Independence
    • Compute partial AUC using Mutual Information for Genuine Hypothesis Testing (MIGHT)
    • Compute partial AUC using multi-view MIGHT (MV-MIGHT)
    • Demonstrate Conditional Mutual Information for Genuine Hypothesis Testing (Co-MIGHT)
    • Mutual Information for Genuine Hypothesis Testing (MIGHT)
    • Mutual Information for Genuine Hypothesis Testing (MIGHT) with Imbalanced Data
  • 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 vs. standard and oblique regression forest
  • Comparing sklearn and sktree 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
    • Compare the decision surfaces of oblique extra-trees with standard oblique trees
    • Plot oblique forest and axis-aligned random forest predictions on cc18 datasets
    • Plot oblique forest and axis-aligned random forest predictions on sparse parity simulation
    • Speed of Extra Oblique Random Forest vs Oblique Random Forest on different dataset sizes
  • 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
  • Examples using scikit-tree
  • Comparing...

Comparing sklearn and sktree decision trees#

Examples demonstrating the difference between sklearn and sktree decision trees.

Plot the decision surface of decision trees trained on the iris dataset

Plot the decision surface of decision trees trained on the iris dataset

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Quantile regression vs. standard and oblique regression forest

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Plot the decision surface of decision trees trained on the iris dataset

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