Project New Rows into an Aligned Interbattery Space

Usage

# S3 method for class 'aligned_interbattery'
project(
  x,
  new_data,
  block = NULL,
  from = c("x", "y", "both"),
  side = c("common", "side", "x", "y", "both"),
  preprocess = TRUE,
  x_row_map_new = NULL,
  y_row_map_new = NULL,
  row_graph_new = NULL,
  row_graph_form = NULL,
  ...
)

Arguments

x: A fitted `aligned_interbattery` object.
new_data: Observed out-of-sample data. For `from = "x"` or `"y"`, this may be a single matrix/data.frame or a list of observed blocks from that side. For `from = "both"`, supply a list with optional elements `x` and `y`, each containing a single block or block bundle for that side.
block: Optional source block identifier(s). For single-matrix input, this identifies the source loading type or training block. For unnamed block bundles, provide one identifier per observed block. For `from = "both"`, `block` may be `NULL` or a list with optional `x`/`y` entries matching the supplied side bundles.
from: One of `"x"`, `"y"`, or `"both"`.
side: One of `"common"`, `"side"`, `"x"`, `"y"`, or `"both"`.
preprocess: Logical; if `TRUE` (default), apply the fitted shared preprocessing pipeline(s) before projection.
x_row_map_new: Optional integer row-map structure for new `x`-side blocks. Missing maps imply identity mapping and therefore require aligned row counts within the supplied `x` bundle.
y_row_map_new: Optional integer row-map structure for new `y`-side blocks.
row_graph_new: Optional graph/Laplacian on the new rows used to refine the common-score solve. This is never required.
row_graph_form: Interpretation of `row_graph_new`. When `NULL` (default), the fitted object's `row_graph_form` is used.
...: Unused.

Value

A numeric score matrix or, for `side = "both"` / `from = "both"`, a named list of score matrices.