tests/testthat/_snaps/fit_best.md

In tune: Tidy Tuning Tools

fit_best

Code
  fit_best(knn_pca_res, verbose = TRUE)
Output
  Using rmse as the metric, the optimal parameters were:
    neighbors: 10
    num_comp:  3

Message
  i Fitting using 161 data points...
  v Done.
Output
  == Workflow [trained] ==========================================================
  Preprocessor: Recipe
  Model: nearest_neighbor()

  -- Preprocessor ----------------------------------------------------------------
  1 Recipe Step

  * step_pca()

  -- Model -----------------------------------------------------------------------

  Call:
  kknn::train.kknn(formula = ..y ~ ., data = data, ks = min_rows(10L,     data, 5))

  Type of response variable: continuous
  minimal mean absolute error: 1.690086
  Minimal mean squared error: 4.571625
  Best kernel: optimal
  Best k: 10

Code
  tmp <- fit_best(knn_pca_res, verbose = TRUE, parameters = tibble(neighbors = 1,
    num_comp = 1))
Message
  i Fitting using 161 data points...
  v Done.

There is no `fit_best()` method for an object with class `integer`.

There is no `fit_best()` method for an object with classes `tbl_df`, `tbl`, and `data.frame`.

Please check the value of `metric`.

The parameters `neighbors` and `num_comp` are still marked for tuning.

The parameter `num_comp` is still marked for tuning.

x The `...` are not used by this function.

x The control option `save_workflow = TRUE` should be used when tuning.

tune documentation built on Aug. 24, 2023, 1:09 a.m.