Predict from the current Online window

Usage

predict_window(model, ...)

# S3 method for class 'OnlineLoess'
predict_window(
    model,
    new_x,
    outputs = NULL,
    intervals = NULL,
    extrapolation = "clamp",
    max_extrapolation_distance = NULL,
    max_neighbor_distance = NULL,
    ...
)

Arguments

model: An OnlineLoess object.
...: Must be empty.
new_x: Numeric query points (flattened, one coordinate per dimension).
outputs: Optional character vector selecting "se" and/or "gradient" (alias "derivative").
intervals: Grouped coverage levels from intervals_opts.
extrapolation: Behavior outside the window's predictor bounds: "clamp" (default), "linear", or "error".
max_extrapolation_distance: Optional cap for linear extrapolation.
max_neighbor_distance: Optional cap for sparse-neighborhood predictions.

Value

A list containing predicted values and requested optional outputs.

Examples

model <- OnlineLoess(
    fraction = 1, window_capacity = 20L, surface_mode = "direct"
)
for (x in 1:10) {
    invisible(add_point(model, x, 2 * x + 1))
}
predict_window(model, c(4.5, 5.5), outputs = "gradient")
#> $y
#> [1] 10 12
#> 
#> $derivative
#> [1] 2 2
#>