Files

T

Ryan Curtin c8eb3dceac Overhaul documentation homepage (#3836 )

* Add pipeline to documentation homepage.

* Fix for mobile devices.

* Add little pipelines to go at the top of each page.

* Overhaul index page.

* Overhaul README to remove redundant material.

* Add installation documentation.

* Update pipelines.

* Allow nesting of deeper details.

* Add a pipeline to the top of the load/save page.

* Add prerequisites link to main pipeline.

* Add better but not finished sidebar.

* Add a couple new documentation pages.

* Fix URLs in svg.

* Incremental checkin.

* Fix Youtube URLs.

* Incremental checkin.

* Minor fixes.

* Add first pass at evaluation/deployment pages.

* Minor spacing and link fixes.

* Flesh out a number of additional pages and write basic compilation documentation.

* Fix some minor issues, and add Docker deployment page (not totally finished yet).

* Add developer documentation landing page.

* Hopefully getting close to the final set of changes here.

* Remove this documentation for now.

* Fix a few links, and the size of the sidebar.

* Fix some additional links.

* Fix a bunch more links.

* Fix another link that now has a better place.

* Refactor test-docs.sh to handle documentation that is a standalone program.

* Fix file exclusions.

* Fully qualify typename.

* Update name of file.

* Fix syntax error.

* Remove files that are not meant to be compiled.

* Also skip the quickstart.

* Move quickstart entry to the top.

* Remove gray coloring of binding documentation.

* Update name of sidebar link.

* Update to working link.

* Fix Wikipedia anchor.

2024-12-20 13:36:12 -05:00

2.4 KiB

Raw Blame History

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: Adaptive Boosting
DecisionTree: ID3-style decision tree classifier
HoeffdingTree: streaming/incremental decision tree classifier
LinearSVM: simple linear support vector machine classifier
LogisticRegression: L2-regularized logistic regression (two-class only)
NaiveBayesClassifier: simple multi-class naive Bayes classifier
Perceptron: simple Perceptron classifier
RandomForest: parallelized random forest classifier
SoftmaxRegression: L2-regularized softmax regression (i.e. multi-class logistic regression)

Regression

Predict continuous values.

BayesianLinearRegression: Bayesian L2-penalized linear regression
DecisionTreeRegressor: ID3-style decision tree regressor
LARS: Least Angle Regression (LARS), L1-regularized and L2-regularized
LinearRegression: 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 for a full list of algorithms.

Group points into clusters.

MeanShift: 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 for a full list of algorithms.

Computations based on distance metrics.

2.4 KiB Raw Blame History