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create_gazepoint_tuning_grid

R reference: gp3ml 0.3.0.

Create an explicit governed tuning grid

Candidate values are fully materialized before evaluation. No hidden metric, default ranking rule, or automatic winner is created.

R reference usage

create_gazepoint_tuning_grid(
  engine,
  engine_grid = list(),
  preprocessor_grid = list(),
  thresholds = 0.5,
  complexity = NA,
  interpretability = NA,
  labels = NULL
)

\method{print}{gp3ml_tuning_grid}(x, ...)

The Python implementation is exported as gp3mlpy.create_gazepoint_tuning_grid. See the runtime docstring for Python-specific typing and semantic adaptations.