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 |