deslib
v0.3
  • User guide
  • API Reference
  • General examples
    • Simple example
    • Measuring the influence of the region of competence
    • Dynamic selection vs K-NN: Using instance hardness
    • Calibrating base classifiers to estimate probabilities
    • Using the Dynamic Frienemy Pruning (DFP)
    • Comparing dynamic selection with baseline static methods
    • Comparing dynamic selection with Random Forest
    • Example using heterogeneous ensemble
    • Dynamic selection with linear classifiers: XOR example
    • Visualizing decision boundaries on the P2 problem
  • Release history
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General examplesΒΆ

Examples showing how to use different aspect of the library

../_images/sphx_glr_simple_example_thumb.png

Simple example

../_images/sphx_glr_plot_influence_k_value_thumb.png

Measuring the influence of the region of competence

../_images/sphx_glr_plot_using_instance_hardness_thumb.png

Dynamic selection vs K-NN: Using instance hardness

../_images/sphx_glr_example_calibrating_classifiers_thumb.png

Calibrating base classifiers to estimate probabilities

../_images/sphx_glr_plot_example_DFP_thumb.png

Using the Dynamic Frienemy Pruning (DFP)

../_images/sphx_glr_plot_comparing_dynamic_static_thumb.png

Comparing dynamic selection with baseline static methods

../_images/sphx_glr_plot_random_forest_thumb.png

Comparing dynamic selection with Random Forest

../_images/sphx_glr_example_heterogeneous_thumb.png

Example using heterogeneous ensemble

../_images/sphx_glr_plot_xor_example_thumb.png

Dynamic selection with linear classifiers: XOR example

../_images/sphx_glr_plot_example_P2_thumb.png

Visualizing decision boundaries on the P2 problem

Download all examples in Python source code: auto_examples_python.zip
Download all examples in Jupyter notebooks: auto_examples_jupyter.zip

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