Class Summary |
CrossValidation |
Splits the training data up into CV folds with a given seed. |
Default |
The most lame of InstanceGenerators, does nothing |
MultiLevel |
Experimental InstanceGenerator that takes as input a child classifier, and creates multiple levels of training data. |
RandomSubSampling |
Experimental InstanceGenerator that splits the data up into random folds, with a fixed percentage used for training
instanceGeneratorArguments: A property string with the following
startingseed - the initial seed of the splits
numsamples - the number of folds to gererate
percent - the percentage of data to use in the training set
bias - the bias towards a uniform partition
instance string format:
seed - the seed used to split up data
percent - the percentage of data to use in the training set
bias - the bias towards a uniform partition |
TerminationHoldout |
Experimental InstanceGenerator that takes as input a child classifier, and holds back a bunch of data as a 'Termination' set from the SMBO methods. |