- getFeature(int) - Method in class cs2.introml.DenseExample
-
- getFeature(int) - Method in class cs2.introml.Example
-
- getFeature() - Method in interface cs2.introml.FeatureEntry
-
Gets the feature value
- getFeature(int) - Method in class cs2.introml.SparseExample
-
- getFeature(int) - Method in interface cs2.introml.TestingExample
-
Gets a feature given its number
- getNumber() - Method in interface cs2.introml.FeatureEntry
-
Gets the feature number
- getNumExamples() - Method in class cs2.introml.DataSet
-
Gets the number of examples in the dataset
(might change over time).
- getNumExamples() - Method in class cs2.introml.HiddenPatternDataSet
-
- getNumExamples() - Method in class cs2.introml.ListDataSet
-
- getNumFeatures() - Method in class cs2.introml.DataSet
-
Gets the number of features of
each example.
- getNumFeatures() - Method in class cs2.introml.Example
-
- getNumFeatures() - Method in interface cs2.introml.TestingExample
-
Gets the number of features
- getResult() - Method in class cs2.introml.Example
-
Gets the example result
- getWinner() - Method in class cs2.introml.TieBreaker
-
Based upon stream of candidates since the last
reset (or construction), returns the winning
candidate (lowest cost; selected randomly from
any ties).