The ContextBatchFSelect allows CallbackBatchFSelects to access and modify data while a batch of feature sets is evaluated.
See the section on active bindings for a list of modifiable objects.
See callback_batch_fselect() for a list of stages that access ContextBatchFSelect.
Details
This context is re-created each time a new batch of feature sets is evaluated.
Changes to $objective_fselect, $design $benchmark_result are discarded after the function is finished.
Modification on the data table in $aggregated_performance are written to the archive.
Any number of columns can be added.
Super classes
mlr3misc::Context -> bbotk::ContextBatch -> ContextBatchFSelect
Public fields
auto_fselector(AutoFSelector)
The AutoFSelector instance.
Active bindings
xss(list())
The feature sets of the latest batch.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.