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NEWS.md

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DALEXtra 2.3.0

  • Remove reticulate from imports.
  • Refactor create_env.

DALEXtra 2.2.1

  • fixed explain_tidymodels to ignore residual_function for classification models.
  • fixed explain_h2o examples that might occasionally crash.

DALEXtra 2.2.0

  • bump the requirement for DALEX to 2.4.0.
  • remove randomForest from suggest due to it enforcing R v4.1 (changed to ranger).
  • fix predict_surrogate() when new_observation has too many variables (e.g. target outcome).
  • auto-convert the mlr3 learner-like objects with mlr3::as_learner() in explain_mlr3().
  • Skip explain_keras and explain_scikitlearn examples while running on macOS as they can rise false-positive errors during R CMD check for some versions of macOS. The very same code still executes properly in tests.
  • Skip check if the model is trained in explain_tidymodels if the model inherits from model_fit class.
  • Add support for stacked tidymodels (stacks package).
  • Add dalex_load_explainer function.
  • Clear up documentation.

DALEXtra 2.1.1

  • Fix CRAN results issues

DALEXtra 2.1

  • Fix errors coming from the new reticulate version
  • Adjust explain functions to DALEX 2.1

DALEXtra 2.0

  • explain_tidymodels() added as a support for tidymodels workflows.
  • Removed aspect importance. It's available in triplot package https://cran.r-project.org/web/packages/triplot/index.html.
  • predict_surrogate() function is added to provide easier interface of accessing lime/iml/localModel implementations of the LIME method.

DALEXtra 1.3.2

  • Fixed cran check results

DALEXtra 1.3.1

  • In added yhat.GraphLearner() and model_info.GraphLearner() to handle GraphLearners mlr3 objects.
  • New examples.

DALEXtra 1.3.0

  • 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 0.2.3

  • 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.type is not prob.

DALEXtra 0.2.2

  • explain_h2o() now supports model as H2OAutoML

DALEXtra 0.2.1

  • 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!)

DALEXtra 0.2.0

  • 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.

DALEXtra 0.1.11

  • New plot function for funnel_measure() objects. (Thanks Anna Kozak, You are awesome!).
  • New tests for funnel_measure() and plot.funnel_measure() (Once again You are awesome, Ania!).

DALEXtra 0.1.10

  • Added aspect_importnace from ingredients (#19)
  • Support for mlr3 added
  • DALEXtra now depends DALEX (0.4.9)

DALEXtra 0.1.9

  • Ceiling replaced with round in funnel_measure()

DALEXtra 0.1.8

  • 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.

DALEXtra 0.1.7

  • 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.yml file renamed to testing_environment.yml.

DALEXtra 0.1.6

  • 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 field param_set.
  • yhat() is now generic.
  • New examples in README.md.

DALEXtra 0.1.5

  • 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.

DALEXtra 0.1.4

  • yhat.R created. Predict functions are stored there in order to be more accesible.
  • explain_h2o() and explain_mlr() rebuilded.

DALEXtra 0.1.3

  • travis and codecov is now aviable available for DALEXtra.
  • tests added.

DALEXtra 0.1.2

  • scikitlearn_unix.yml file added to external data. This helps testing using linuxlike OS.
  • few minor updates in the documentation.
  • message in create_env() changed.

DALEXtra 0.1.1

  • explain_mlr() function implemented.
  • explain_h2o() function implemented.

DALEXtra 0.1

  • DALEXtra package is now public.
  • explain_scikitlearn() function implemented.
  • create_env() function implemented.