Set independent parameters

Updates the default values of tunable parameters across the pipeline. Affected steps and their downstream dependents are automatically marked as outdated.

Usage

pip_set_params(p, params = list())

Arguments

p

A pipeflow pip or view

params

Named list of parameters to set.

Value

The updated pipeline or view, invisibly.

Details

Parameters of locked steps are never changed and their state remains unchanged.

Examples

p <- pip_new() |>
  pip_add("load", \(n = 10) seq_len(n)) |>
  pip_add("scale", \(x = ~load, factor = 0.5) x * factor)

# See all adjustable parameters before running
pip_get_params(p) # list(n = 10, factor = 0.5)
#> $n
#> [1] 10
#> 
#> $factor
#> [1] 0.5
#> 

# Updating params marks affected steps (and their dependents) outdated
pip_set_params(p, params = list(n = 5, factor = 2.0))
p
#> <pipeflow_pip> pipe (2 steps)
#> -----------------------------
#>     step depends    out    state
#> 1:  load         [NULL] outdated
#> 2: scale    load [NULL] outdated

pip_run(p)
#> info [2026-06-20 19:19:08.711 UTC]: Start run of pipeflow_pip 'pipe'
#> info [2026-06-20 19:19:08.712 UTC]: Step 1/2 load
#> info [2026-06-20 19:19:08.712 UTC]: Step 2/2 scale
#> info [2026-06-20 19:19:08.714 UTC]: Finished run of pipeflow_pip 'pipe'
p
#> <pipeflow_pip> pipe (2 steps)
#> -----------------------------
#>     step depends            out state
#> 1:  load              1,2,3,4,5  done
#> 2: scale    load  2, 4, 6, 8,10  done