Package pycv :: Package cs :: Package ml :: Package cla :: Module score :: Class ScoringCDataset

Class ScoringCDataset

ml.Dataset --+    
             |    
  cla.CDataset --+
                 |
                ScoringCDataset

A binary CDataset with score s[i] associated with sample i.

Instance Methods

__init__(self, separated_input_data, separated_scores=None)

source code

new(self)
Make a copy of ScoringCDataset with a copy of scores and a reference to input_data.

source code

set_scores(self, value=0)
Set all weight values to 'value', initialize if necessary

source code

dofilter(self, j, filterarray)
Filter away some samples in class j.

source code

concat(self, j, input_data, scores)
Concatenate a few samples to class j.

source code

Method Details

Filter away some samples in class j.

Parameters:

j (int) - class j
filterarray (a 'bool' numpy.array of size self.nspc[j]) - for each element, True if the associating example is to be kept

Returns:

fr: filtering rate, the new number of samples of class j divided: by the old number of samples of class j. The class is updated.

Concatenate a few samples to class j.

Parameters: