A CallbackBatchTuning accesses and modifies data during the optimization via the ContextBatchTuning.
See the section on active bindings for a list of modifiable objects.
See callback_batch_tuning() for a list of stages that access ContextBatchTuning.
Super classes
mlr3misc::Context -> bbotk::ContextBatch -> ContextBatchTuning
Active bindings
xss(list())
The hyperparameter configurations of the latest batch. Contains the values on the learner scale i.e. transformations are applied. See$xdtfor the untransformed values.design(data.table::data.table)
The benchmark design of the latest batch.benchmark_result(mlr3::BenchmarkResult)
The benchmark result of the latest batch.aggregated_performance(data.table::data.table)
Aggregated performance scores and training time of the latest batch. This data table is passed to the archive. A callback can add additional columns which are also written to the archive.