Package

weka.filters.unsupervised.instance

Synopsis

Produces a random subsample of a dataset using either sampling with replacement or without replacement. The original dataset must fit entirely in memory. The number of instances in the generated dataset may be specified. When used in batch mode, subsequent batches are NOT resampled.

Options

The table below describes the options available for Resample.

Option	Description
invertSelection	Inverts the selection (only if instances are drawn WITHOUT replacement).
noReplacement	Disables the replacement of instances.
randomSeed	The seed used for random sampling.
sampleSizePercent	Size of the subsample as a percentage of the original dataset.

Capabilities

The table below describes the capabilites of Resample.

Capability	Supported
Class	Date class, Binary class, Missing class values, No class, Nominal class, String class, Empty nominal class, Relational class, Unary class, Numeric class
Attributes	Missing values, String attributes, Numeric attributes, Empty nominal attributes, Binary attributes, Unary attributes, Nominal attributes, Date attributes, Relational attributes
Min # of instances	0