The finalize_* functions take a list or tibble of tuning parameter values
and update objects with those values.
Arguments
- x
A recipe,
parsnipmodel specification, or workflow.- parameters
A list or 1-row tibble of parameter values. Note that the column names of the tibble should be the
idfields attached totune(). For example, in theExamplessection below, the model hastune("K"). In this case, the parameter tibble should be "K" and not "neighbors".
Examples
kmeans_spec <- k_means(num_clusters = tune())
kmeans_spec
#> K Means Cluster Specification (partition)
#>
#> Main Arguments:
#> num_clusters = tune()
#>
#> Computational engine: stats
#>
best_params <- data.frame(num_clusters = 5)
best_params
#> num_clusters
#> 1 5
finalize_model_tidyclust(kmeans_spec, best_params)
#> K Means Cluster Specification (partition)
#>
#> Main Arguments:
#> num_clusters = 5
#>
#> Computational engine: stats
#>