# Modeling mlpack contains numerous different machine learning algorithms that can be used for modeling. *Note: this section is under construction and not all functionality is documented yet.* ## Classification Classify points as discrete labels (`0`, `1`, `2`, ...). * [`AdaBoost`](methods/adaboost.md): Adaptive Boosting * [`DecisionTree`](methods/decision_tree.md): ID3-style decision tree classifier * [`HoeffdingTree`](methods/hoeffding_tree.md): streaming/incremental decision tree classifier * [`LinearSVM`](methods/linear_svm.md): simple linear support vector machine classifier * [`LogisticRegression`](methods/logistic_regression.md): L2-regularized logistic regression (two-class only) * [`NaiveBayesClassifier`](methods/naive_bayes_classifier.md): simple multi-class naive Bayes classifier * [`Perceptron`](methods/perceptron.md): simple Perceptron classifier * [`RandomForest`](methods/random_forest.md): parallelized random forest classifier * [`SoftmaxRegression`](methods/softmax_regression.md): L2-regularized softmax regression (i.e. multi-class logistic regression) ## Regression Predict continuous values. * [`BayesianLinearRegression`](methods/bayesian_linear_regression.md): Bayesian L2-penalized linear regression * [`DecisionTreeRegressor`](methods/decision_tree_regressor.md): ID3-style decision tree regressor * [`LARS`](methods/lars.md): Least Angle Regression (LARS), L1-regularized and L2-regularized * [`LinearRegression`](methods/linear_regression.md): L2-regularized linear regression (ridge regression) ## Clustering ***NOTE:*** this documentation is still under construction and so some algorithms that mlpack implements are not yet listed here. For now, see [the mlpack/methods directory](https://github.com/mlpack/mlpack/tree/master/src/mlpack/methods) for a full list of algorithms. Group points into clusters. * [`MeanShift`](methods/mean_shift.md): clustering with the density-based mean shift algorithm ## Geometric algorithms ***NOTE:*** this documentation is still under construction and so no geometric algorithms in mlpack are documented yet. For now, see [the mlpack/methods directory](https://github.com/mlpack/mlpack/tree/master/src/mlpack/methods) for a full list of algorithms. Computations based on distance metrics.