dot-guard_ensure_levels: Ensure consistent categorical levels for guarded...

In bioLeak: Leakage-Safe Modeling and Auditing for Genomic and Clinical Data

Ensure consistent categorical levels for guarded preprocessing

Description

Converts character/logical columns to factors and aligns factor levels with a training-time levels_map. Adds a dummy level when a column has only one observed level so that downstream one-hot encoding retains a column.

Usage

.guard_ensure_levels(df, levels_map = NULL, dummy_prefix = "__dummy__")

Arguments

df	data.frame to normalize factor levels.
levels_map	optional named list of factor levels learned from training data.
dummy_prefix	prefix used when adding a dummy level to single-level factors.

Value

List with elements data (data.frame) and levels (named list of levels).

bioLeak documentation built on March 6, 2026, 1:06 a.m.