ReservoirSample
Package
weka.filters.unsupervised.instance
Synopsis
Produces a random subsample of a dataset using the reservoir sampling Algorithm "R" by Vitter. The original data set does not have to fit into main memory, but the reservoir does.
Options
The table below describes the options available for ReservoirSample.
Option |
Description |
|---|---|
randomSeed |
The seed used for random sampling. |
sampleSize |
Size of the subsample (reservoir). i.e. the number of instances. |
Capabilities
The table below describes the capabilites of ReservoirSample.
Capability |
Supported |
|---|---|
Class |
Relational class, Binary class, No class, Date class, Numeric class, Nominal class, String class, Empty nominal class, Unary class, Missing class values |
Attributes |
Date attributes, Empty nominal attributes, Missing values, Unary attributes, String attributes, Nominal attributes, Relational attributes, Binary attributes, Numeric attributes |
Min # of instances |
0 |