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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.


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.


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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