Shogun 5.0

    Binary classifier

    • Kernel Support Vector Machine
    • Linear Discriminant Analysis
    • Linear Support Vector Machine

    Multiclass classifier

    • Gaussian Naive Bayes
    • K Nearest neighbours
    • Large Margin Nearest Neighbours
    • Linear Discriminant Analysis
    • Multi-class Error-Correcting Output Codes
    • Multi-class Linear Machine
    • Multi-class Logistic Regression
    • Quadratic Discriminant Analysis
    • Random Forest
    • Relaxed Tree
    • ShareBoost
    • Multi-class Support Vector Machine

    Regression

    • Kernel Ridge Regression
    • Linear Ridge Regression
    • Multiple Kernel Learning
    • Random Forest
    • Support Vector Regression

    Kernels

    Gaussian Processes

    • Gaussian Process Classifier
    • Gaussian Process Regression

    Clustering

    • Gaussian Mixture Models
    • Hierarchical Clustering
    • K-means

    Distance

    • Euclidean Distance

    Neural Netwroks

    • Feedforward Network for Classification
    • Feedforward Network for Regression

The Shogun API cookbook¶

This is a collection of cookbook-style examples for using Shogun. Every example contains code listings in all of Shogun’s supported target languages.

Binary classifier¶

Binary classifier¶

  • Kernel Support Vector Machine
  • Linear Discriminant Analysis
  • Linear Support Vector Machine

Multiclass classifier¶

Multiclass classifier¶

  • Gaussian Naive Bayes
  • K Nearest neighbours
  • Large Margin Nearest Neighbours
  • Linear Discriminant Analysis
  • Multi-class Error-Correcting Output Codes
  • Multi-class Linear Machine
  • Multi-class Logistic Regression
  • Quadratic Discriminant Analysis
  • Random Forest
  • Relaxed Tree
  • ShareBoost
  • Multi-class Support Vector Machine

Regression¶

Regression¶

  • Kernel Ridge Regression
  • Linear Ridge Regression
  • Multiple Kernel Learning
  • Random Forest
  • Support Vector Regression

Kernels¶

Kernels¶

Gaussian Processes¶

Gaussian Processes¶

  • Gaussian Process Classifier
  • Gaussian Process Regression

Clustering¶

Clustering¶

  • Gaussian Mixture Models
  • Hierarchical Clustering
  • K-means

Distance¶

Distance¶

  • Euclidean Distance

Neural Networks¶

Neural Netwroks¶

  • Feedforward Network for Classification
  • Feedforward Network for Regression

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