ggmlR (version 0.8.1)

tidy.ggmlr_parsnip_model: Tidy a fitted ggml parsnip model into a per-layer table

Description

Returns one row per layer of the underlying sequential network, in broom style. Useful for comparing architectures across experiments in a R Markdown / Quarto report.

Usage

# S3 method for ggmlr_parsnip_model
tidy(x, ...)

Value

A [tibble][tibble::tibble] with columns: `layer` (name), `type`, `units` (output units, `NA` if not applicable), `activation`, `output_shape` (character), `params` (trainable parameter count) and `trainable` (logical).

Arguments

x

A fitted `ggmlr_parsnip_model` (the engine object inside a parsnip fit; e.g. from `extract_fit_engine()`).

...

Unused; for generic compatibility.

Examples

ggml_set_n_threads(1L)  # deterministic, single OpenMP pool
spec <- parsnip::mlp(hidden_units = 8L, epochs = 3L) |>
  parsnip::set_engine("ggml", backend = "cpu") |>
  parsnip::set_mode("regression")
fit_obj <- parsnip::fit(spec, mpg ~ ., data = mtcars)
generics::tidy(parsnip::extract_fit_engine(fit_obj))