CVBpy 15.0
LearnParameters Class Reference

The set of parameters, which controls, how a classifier is being learned from a training set. More...

Inherits object.

Properties

 contrast_trigger = property
 int: Minimum gray value difference the two regions of one pair feature must have to be eligible to become a classifier feature.
 
 contrast_trigger_default = property
 int: Default value for the contrast_trigger.
 
 ensemble_size = property
 int: Maximum size of the Ensembles of similar instance images to be used for pair feature calculation.
 
 ensemble_size_default = property
 int: Default value for the ensemble_size.
 
 indifference_radius = property
 int: Radius (L1 norm!) around a positive instance from which no counter sample is to be extracted.
 
 indifference_radius_default = property
 int: Default value for the indifference_radius.
 
 min_feature_count = property
 int: Minimum feature count defining, how many features must be extracted at the very least per class in a classifier.
 
 min_feature_count_default = property
 int: Default value for the min_feature_count.
 
 negative_density = property
 float: Density at which counter samples are extracted from the training set images during the learning phase.
 
 negative_density_default = property
 float: Default value for the negative_density.
 
 polydromy = property
 int: Polydromy value controlling the complexity of the feature search tree in the classifier.
 
 polydromy_default = property
 int: Default value for the polydromy.
 

Detailed Description

The set of parameters, which controls, how a classifier is being learned from a training set.

Instantiates a LearnParameters object.