PRTools Commands

The following links refer to pages with user commands that are useful on he command line and in macros defining experiments. Routines supporting the construction of mappings are not listed here.

• Datasets: definition, multi-labeling, datafiles, generation, handling.

• Representation: handling mappings, image handling, image operations, image features, feature selection, fixed mappings, trainable mappings, density estimation.

• Classifiers: Linear and quadratic, SVMs, neural networks, various, special, combining classifiers, related,

• Evaluation: testing, plotting

• Clustering and Regression: Clustering and distances, regression

• Examples

• Support Routines

elements: datasets datafiles cells and doubles mappings classifiers mapping types.
operations: datasets datafiles cells and doubles mappings classifiers stacked parallel sequential dyadic.
user commands: datasets representation classifiers evaluation clustering examples support routines.
introductory examples: Introduction Scatterplots Datasets Datafiles Mappings Classifiers Evaluation Learning curves Feature curves Dimension reduction Combining classifiers Dissimilarities.
advanced examples.