- In added yhat.GraphLearner()andmodel_info.GraphLearner()to handle GraphLearnersmlr3objects.
- New examples.
- In explain_h2o()data parameter will bo converted to data.frame if H2OFrame object was passed.
- Aspect importance related functions set deprecated. Will be removed with next release.
- explain_xgboost()function added
- DALEXtra now supports multiclass classification (accordingly to DALEX >= 1.3)
- funnel_mesure()and- training_test_comparison()recognizes type of the task and applies proper loss_function
- yhat.WrappedModel()returns factor response if- predict.typeis not- prob.
- explain_h2o()now supports- modelas- H2OAutoML
- Removed h2o::init() from explain_h2o()
- Removed mljar support as mljar package is not available for R 3.6.2
- Ajusted to DALEX 1.0
- fixed yhat.LearnerClassif()returning wrong column of probabilities (PR #34, thanks Hubert!)
- Rebuilded plot.overall_comparison()(I lack words that could describe Your greatness, Ania!).
- New README and DESCRIPTION. They are more accurate now.
- Small fixes to funnel_measure()that imporves it’s stability.
- New plot function for funnel_measure()objects. (Thanks Anna Kozak, You are awesome!).
- New tests for funnel_measure()andplot.funnel_measure()(Once again You are awesome, Ania!).
- Added aspect_importnacefromingredients(#19)
- Support for mlr3added
- DALEXtra now depends DALEX (0.4.9)
- Ceiling replaced with round in funnel_measure()
- champion_challenger().
- overall_comparison()added with generic plot and print functions.
- training_test_comparison()added with generic plot and print functions.
- funnel_measure()added with generic plot and print functions.
- test for h2o rebuilded.
- explain_keras()added.
- explain_mljar()added.
- documentation refreshed with links to functions.
- explain_scikitlearn()rebuilded. Some of the code was exported to inner functions (helper_functions.R).
- conda installation in README.md.
- scikitlearn_unix.ymlfile renamed to- testing_environment.yml.
- explain_scikitlearn()rebuilded. Now class scikitlearn_model is a additional class for original Python object instead of another object.
- explainers created with explain_scikitlearn()have addidtional fieldparam_set.
- yhat()is now generic.
- New examples in README.md.
- Now when you pass .yml that consist environment name that already exists one the machine, DALEXtra will not rise an error and contiune work with existing env.
- If condaenv is NULL when creating_env on unixlike OS, DALEXtra will try to find conda on his own.
- on_attach()function now checks if conda is installed. Alert is rised if not.
- yhat.R created. Predict functions are stored there in order to be more accesible.
- explain_h2o()and- explain_mlr()rebuilded.
- travis and codecov is now aviable available for DALEXtra.
- tests added.
- scikitlearn_unix.ymlfile added to external data. This helps testing using linuxlike OS.
- few minor updates in the documentation.
- message in create_env()changed.
- explain_mlr()function implemented.
- explain_h2o()function implemented.
- DALEXtra package is now public.
- explain_scikitlearn()function implemented.
- create_env()function implemented.