citation("mlr3")for the citation info.
BenchmarkResult$learnersare reset to encourage the safer alternative
BenchmarkResult$score()to access trained models.
PredictionClassif$set_threshold()(triggered an assertion).
NA) in case the score cannot be calculated.
character()columns are supposed to store text.
benchmark_grid()now accepts instantiated resamplings under certain conditions.
Task$set_row_roles()are now deprecated. Instead it is recommended for now to work with the lists
Learner$predict_newdata()now works without argument
taskif the learner has been fitted with
"groups"have been renamed).
MeasureClassifFScoreand fixed a bug in the F1 performance calculation (#353). Thanks to @001ben for reporting.
predict()method for class
Learnerto increase interoperability with other packages.
$help()which opens the respective manual page.
It is now possible to predict and score results on the training set or on both training and test set. Learners can be instructed to predict on multiple sets by setting
"test"). Measures operate on all sets specified in their field
ResampleResult$predictions() are now methods instead of fields, and allow to extract predictions for different predict sets.
ResampleResult$performance() has been renamed to
ResampleResult$score() for consistency.
BenchmarkResult$performance() has been renamed to
BenchmarkResult$score() for consistency.
Changed API for (internal) constructors accepting
paradox::ParamSet(). Instead of passing the initial values separately, the initial values must now be set directly in the
Deprecated support of automatically creating objects from strings. Instead,
mlr3 provides the following helper functions intended to ease the creation of objects stored in dictionaries:
BenchmarkResult now ensures that the stored
ResampleResults are in a persistent order. Thus,
ResampleResults can now be addressed by their position instead of their hash.
New S3 generic
Removed the control object