multidim.models.CDER.fit

CDER.fit(*training)

Fit this estimator to training data. This is the step that runs the actual predictor.

Parameters:

*training

Can be any of the following:

• a pair of list-like objects: pointclouds_train and labels_train The items in pointclouds_train should be numpy.ndarray objects. The items in labels_train should be strings (preferably, color names).
• a single labelled and weighted multidim.PointCloud
• a single multidim.covertree.CoverTree obtained from a labelled and weighted multidim.PointCloud