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Statistics and Machine Learning Toolbox modeling builtins.
Modulesยง
- bayesopt
- Deterministic MATLAB-compatible
bayesoptsurface for small in-memory workflows. - classification
- Discriminant classification compatibility surface.
- classification_
linear - Linear classification model compatibility surface.
- classification_
tree - Numeric classification tree compatibility surface.
- confusionmat
- Confusion matrix compatibility surface.
- crossvalind
- MATLAB-compatible
crossvalindbuiltin. - cvpartition
- Cross-validation partition helpers for Statistics and Machine Learning workflows.
- distance
- Pairwise distance and squareform helpers for Statistics and Machine Learning workflows.
- kmeans
- k-means clustering compatibility surface.
- lasso
- Lasso and elastic-net regularized linear regression.
- lassoglm
- Lasso and elastic-net regularized generalized linear models.
- linear_
model - Linear regression model compatibility surface.
- linkage
- Hierarchical agglomerative clustering compatibility surface.
- lscov
- Linear least-squares with observation covariance weighting.
- mnrfit
- Multinomial logistic regression compatibility helper.
- optimizable_
variable - MATLAB-compatible
optimizableVariablemetadata constructor. - perfcurve
- Classification performance curve compatibility surface.
- predict
- Generic model prediction dispatcher.
- regress
- Multiple linear regression compatibility surface.
- ridge
- Ridge regression compatibility surface.
- tsne
- t-SNE dimensionality reduction compatibility surface.