pip_get_params: Get independent parameters

In pipeflow: Fast Interactive Data Analysis Pipelines

Get independent parameters

Description

Returns the current default values of all tunable (non-dependency) parameters across the pipeline. These are the parameters that can be updated via pip_set_params(). Parameters wired to another step's output via ~step_name are excluded.

Usage

pip_get_params(x)

Arguments

x	A pipeflow pip or view

Value

Named list of tunable parameter values. If the same parameter name appears in multiple steps, the first occurrence in pipeline order is returned.

Examples

p <- pip_new() |>
  pip_add("load", \(n = 100, seed = 42) seq_len(n)) |>
  pip_add("model", \(x = ~load, lambda = 0.1) x * lambda)

# ~load is a dependency — only non-dependency params are returned
pip_get_params(p) # list(n = 100, seed = 42, lambda = 0.1)

# Useful as a guide for pip_set_params()
pip_set_params(p, params = list(n = 20, lambda = 0.5))
pip_run(p) |> pip_collect_out()

pipeflow documentation built on June 15, 2026, 9:10 a.m.