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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
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