Assemble user-facing prediction deliverables.

Builds two CSVs in .path.export: predictions.csv (wide best per response, optional Transformed twin) and audit.csv (long disaggregated per method, raw values).

Usage

postProcess(
  .path.summary,
  .path.export,
  key,
  responses,
  location,
  locationSources = c("data/domains/index.csv", file.path(.path.export, "X.csv"),
    file.path(.path.export, "Xo.csv")),
  transform = NULL,
  normalize = NULL,
  boundsMin = -Inf,
  boundsMax = Inf
)

Arguments

.path.summary: Directory holding ssel computed aggregates (response_long.csv, residuals_oof.csv, metrics.csv, prediction_quantiles.csv).
.path.export: Directory holding ssel intermediate Yo.csv and where outputs (predictions.csv, audit.csv) are written. Created if missing.
key: Identity column name (typically "SampleID").
responses: Character vector of response column names.
location: Character vector of location columns to carry from the project's identity source into predictions.csv / audit.csv.
locationSources: Character vector of candidate file paths from which to read (key, location). All existing files carrying the required columns are combined in source order, retaining the first row for each key.
transform: Element-wise transform spec, a list with op and op-specific params. Supported: list(op="identity") (default when NULL), list(op="log", base=10), list(op="exp", base=exp(1)).
normalize: Row-wise normalize spec. Supported: list(op="identity") (default), list(op="closure", target=100).
boundsMin: Lower clamp for predicted values. Default -Inf.
boundsMax: Upper clamp for predicted values. Default Inf.

Value

Invisible NULL. Side effect: writes predictions.csv and audit.csv to .path.export.