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Distance for IDEAL-style active learning methods.

All search-space columns must be numeric or integer. Each geometry column is affine-scaled to the interval \([-1, 1]\). With a finite pool, scaling uses the candidate-pool minima and maxima. With xdt = NULL, scaling uses the finite search-space bounds. Zero-range columns and missing values are mapped to 0 in the geometry.

Creates an affine active-learning distance.

Format

R6::R6Class object inheriting from ALDistanceGeometry.

Construction

clx_ald("affine")