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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
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Site Navigation

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

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  • 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
  • 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

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Mutual Information for Genuine Hypothesis Testing (MIGHT) with Imbalanced Data

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

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