Processors

These processors are used to process data before and after avatarization.

Table of contents

avatars.processors.ExpectedMeanProcessor(...)	Processor to force values to have similar mean to original data.
avatars.processors.GeolocationNormalizationProcessor(*, ...)	Processor to normalize longitude values for different latitude.
avatars.processors.GroupModalitiesProcessor(*)	Processor to group modalities in order to reduce the dataframe dimension.
avatars.processors.InterRecordBoundedCumulatedDifferenceProcessor(...)	Processor to express the value of a variable as the difference from the previous value.
avatars.processors.InterRecordBoundedRangeDifferenceProcessor(*, ...)	Processor to express two related bounded variables relative to previous records.
avatars.processors.InterRecordCumulatedDifferenceProcessor(*, ...)	Processor to express the value of a variable as the difference from the previous value.
avatars.processors.InterRecordRangeDifferenceProcessor(*, ...)	Processor to express the values of two related variables relative to previous records.
avatars.processors.PerturbationProcessor([...])	Processor to reduce the difference between originals and avatars.
avatars.processors.ProportionProcessor(...)	Processor to express numeric variables as a proportion of another variable.
avatars.processors.RelativeDifferenceProcessor(...)	Express numeric variables as a difference relative to the sum of other variables.
avatars.processors.ToCategoricalProcessor(...)	Processor to model selected numeric variables as categorical variables.