Package weka.filters.unsupervised.instance

Class Summary

Class	Description
NonSparseToSparse	An instance filter that converts all incoming instances into sparse format.
Randomize	Randomly shuffles the order of instances passed through it.
RemoveDuplicates	Removes all duplicate instances from the first batch of data it receives.
RemoveFolds	This filter takes a dataset and outputs a specified fold for cross validation.
RemoveFrequentValues	Determines which values (frequent or infrequent ones) of an (nominal) attribute are retained and filters the instances accordingly.
RemoveMisclassified	A filter that removes instances which are incorrectly classified.
RemovePercentage	A filter that removes a given percentage of a dataset.
RemoveRange	A filter that removes a given range of instances of a dataset.
RemoveWithValues	Filters instances according to the value of an attribute.
Resample	Produces a random subsample of a dataset using either sampling with replacement or without replacement.
ReservoirSample	Produces a random subsample of a dataset using the reservoir sampling Algorithm "R" by Vitter.
SparseToNonSparse	An instance filter that converts all incoming sparse instances into non-sparse format.
SubsetByExpression	Filters instances according to a user-specified expression. Examples: - extracting only mammals and birds from the 'zoo' UCI dataset: (CLASS is 'mammal') or (CLASS is 'bird') - extracting only animals with at least 2 legs from the 'zoo' UCI dataset: (ATT14 >= 2) - extracting only instances with non-missing 'wage-increase-second-year' from the 'labor' UCI dataset: not ismissing(ATT3) Valid options are: