- In added
yhat.GraphLearner()
and model_info.GraphLearner()
to handle GraphLearners mlr3
objects.
- 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.type
is not prob
.
explain_h2o()
now supports model
as 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()
and plot.funnel_measure()
(Once again You are awesome, Ania!).
- Added
aspect_importnace
from ingredients
(#19)
- Support for
mlr3
added
- 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.yml
file 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 field param_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.yml
file 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.