MIML - MeteoInfo Machine Learning Toolbox

• Classification
  • K-Nearest Neighbor
  • Linear discriminant analysis
  • Fisher’s linear discriminant
  • Quadratic discriminant analysis
  • Regularized discriminant analysis
  • Logistic regression
  • Multilayer perceptron neural network
  • Radial basis function network
  • Support vector machine
  • Decision tree
  • Random forest
  • Gradient boosted trees
  • Adaptive Boosting
• Regression
  • Ordinary Least Squares
  • Ridge Regression
  • Lasso Regression
  • Radial Basis Function Networks
  • Support Vector Regression
  • Regression Tree
  • Random Forest
  • Gradient Boosting
  • Gaussian Process
• Clustering
  • Agglomerative Hierarchical Clustering
  • K-Means
  • X-Means
  • G-Means
  • Clustering Large Applications based upon RANdomized Search
  • Balanced Iterative Reducing and Clustering using Hierarchies
  • Deterministic Annealing Clustering
  • Density-Based Spatial Clustering of Applications with Noise
  • DENsity CLUstering
  • Sequential Information Bottleneck
  • Spectral Clustering
  • Minimum Entropy Clustering
• Neural Network
  • XOR with Neural Network
  • Fit Sine
• Deep learning
  • Classification linear
  • Classification iris
  • Convolution mnist
• Model selection
  • K-Folds cross-validator
  • Get cross validate score