MultiDML_kNN: Multi-DML k-NN

Description Usage Arguments Value

Description

An interface that allows learning k-NN with different distance metric learners simultaneously.

Usage

1
MultiDML_kNN(n_neighbors, dmls = NULL, verbose = FALSE, ...)

Arguments

n_neighbors

The number of neighbors for k-NN. Integer.

dmls

A list of distance metric learning algorithms to be learned for k-NN. By default, euclidean distance will be added at the first place of the dml list.

verbose

Boolean. If True, console message about the algorithms execution will be printed.

...

Additional arguments for Scikit-Learn k-Neighbors Classifier.

Value

The MultiDML_kNN classifier, structured as a named list.


jlsuarezdiaz/rDML documentation built on May 24, 2019, 12:35 a.m.