|
Class Summary |
| NonSparseToSparse |
An instance filter that converts all incoming instances into sparse format. |
| Normalize |
An instance filter that normalize instances considering only numeric attributes and ignoring class index. |
| Randomize |
Randomly shuffles the order of instances passed through it. |
| 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" of Vitter. |
| SparseToNonSparse |
An instance filter that converts all incoming sparse instances into non-sparse format. |