NumericCleaner

Package

weka.filters.unsupervised.attribute

Synopsis

A filter that 'cleanses' the numeric data from values that are too small, too big or very close to a certain value (e.g., 0) and sets these values to a pre-defined default.

Options

The table below describes the options available for NumericCleaner.

Option	Description
attributeIndices	The selection of columns to use in the cleansing processs, first and last are valid indices.
closeTo	The number values are checked for whether they are too close to and get replaced by a default.
closeToDefault	The default value to replace values with that are too close.
closeToTolerance	The value below which values are considered close to.
debug	Turns on output of debugging information.
decimals	The number of decimals to round to, -1 means no rounding at all.
includeClass	If disabled, the class attribute will be always left out of the cleaning process.
invertSelection	If enabled the selection of the columns is inverted.
maxDefault	The default value to replace values that are above the maximum threshold.
maxThreshold	The maximum threshold above values are replaced by a default.
minDefault	The default value to replace values that are below the minimum threshold.
minThreshold	The minimum threshold below values are replaced by a default.

Capabilities

The table below describes the capabilites of NumericCleaner.

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