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Package

weka.filters.unsupervised.attribute

Synopsis

An filter that assumes instances form time-series data and replaces attribute values in the current instance with the equivalent attribute values of some previous (or future) instance. For instances where the desired value is unknown either the instance may be dropped, or missing values used. Skips the class attribute if it is set.

Options

The table below describes the options available for TimeSeriesTranslate.

Option

Description

attributeIndices

Specify range of attributes to act on. This is a comma separated list of attribute indices, with "first" and "last" valid values. Specify an inclusive range with "-". E.g: "first-3,5,6-10,last".

fillWithMissing

For instances at the beginning or end of the dataset where the translated values are not known, use missing values (default is to remove those instances)

instanceRange

The number of instances forward/backward to merge values between. A negative number indicates taking values from a past instance.

invertSelection

Invert matching sense. ie calculate for all non-specified columns.

Capabilities

The table below describes the capabilites of TimeSeriesTranslate.

Capability

Supported

Class

Relational class, Missing class values, Empty nominal class, Nominal class, Numeric class, Binary class, Date class, No class, String class, Unary class

Attributes

Relational attributes, Numeric attributes, Binary attributes, Nominal attributes, Unary attributes, Missing values, String attributes, Date attributes, Empty nominal attributes

Min # of instances

0

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