Nothing
reticulate
from imports.create_env
.explain_tidymodels
to ignore residual_function
for classification models.explain_h2o
examples that might occasionally crash.DALEX
to 2.4.0.randomForest
from suggest due to it enforcing R v4.1 (changed to ranger
).predict_surrogate()
when new_observation
has too many variables (e.g. target outcome).mlr3
learner-like objects with mlr3::as_learner()
in explain_mlr3()
.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.explain_tidymodels
if the model inherits from model_fit
class.stacks
package).dalex_load_explainer
function.explain_tidymodels()
added as a support for tidymodels workflows.predict_surrogate()
function is added to provide easier interface of accessing lime/iml/localModel implementations of the LIME method.yhat.GraphLearner()
and model_info.GraphLearner()
to handle GraphLearners mlr3
objects.explain_h2o()
data parameter will bo converted to data.frame if H2OFrame object was passed.explain_xgboost()
function addedfunnel_mesure()
and training_test_comparison()
recognizes type of the task and applies proper loss_functionyhat.WrappedModel()
returns factor response if predict.type
is not prob
.explain_h2o()
now supports model
as H2OAutoML
yhat.LearnerClassif()
returning wrong column of probabilities (PR #34, thanks Hubert!)plot.overall_comparison()
(I lack words that could describe Your greatness, Ania!).funnel_measure()
that imporves it's stability.funnel_measure()
objects. (Thanks Anna Kozak, You are awesome!).funnel_measure()
and plot.funnel_measure()
(Once again You are awesome, Ania!).aspect_importnace
from ingredients
(#19)mlr3
addedfunnel_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. explain_keras()
added. explain_mljar()
added.explain_scikitlearn()
rebuilded. Some of the code was exported to inner functions (helper_functions.R).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.explain_scikitlearn()
have addidtional field param_set
.yhat()
is now generic.README.md
.on_attach()
function now checks if conda is installed. Alert is rised if not.explain_h2o()
and explain_mlr()
rebuilded. scikitlearn_unix.yml
file added to external data. This helps testing using linuxlike OS.create_env()
changed.explain_mlr()
function implemented.explain_h2o()
function implemented.explain_scikitlearn()
function implemented.create_env()
function implemented.Any scripts or data that you put into this service are public.
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