Resample (unsupervised)
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 |