Name | Description | Type | Package | Framework |
NonSparseToSparse | An instance filter that converts all incoming instances into sparse format. | Class | weka.filters.unsupervised.instance | Weka |
Randomize | Randomly shuffles the order of instances passed through it. | Class | weka.filters.unsupervised.instance | Weka |
RemoveDuplicates | Removes all duplicate instances from the first batch of data it receives. | Class | weka.filters.unsupervised.instance | Weka |
RemoveFolds | This filter takes a dataset and outputs a specified fold for cross validation. | Class | weka.filters.unsupervised.instance | Weka |
RemoveFrequentValues | Determines which values (frequent or infrequent ones) of an (nominal) attribute are retained and filters the instances | Class | weka.filters.unsupervised.instance | Weka |
RemoveMisclassified | A filter that removes instances which are incorrectly classified. | Class | weka.filters.unsupervised.instance | Weka |
RemovePercentage | A filter that removes a given percentage of a Valid options are: | Class | weka.filters.unsupervised.instance | Weka |
RemoveRange | A filter that removes a given range of instances of Valid options are: | Class | weka.filters.unsupervised.instance | Weka |
RemoveWithValues | Filters instances according to the value of an Valid options are: | Class | weka.filters.unsupervised.instance | Weka |
Resample | Produces a random subsample of a dataset using either sampling with replacement or without replacement. | Class | weka.filters.unsupervised.instance | Weka |
ReservoirSample | Produces a random subsample of a dataset using the reservoir sampling Algorithm "R" by Vitter. | Class | weka.filters.unsupervised.instance | Weka |
SparseToNonSparse | An instance filter that converts all incoming sparse instances into non-sparse format. | Class | weka.filters.unsupervised.instance | Weka |
SubsetByExpression | Filters instances according to a user-specified expression. | Class | weka.filters.unsupervised.instance | Weka |