Explainers

New explainers tailored for larger model factories

explain_scikitlearn()

Wrapper for Python Scikit-Learn Models

explain_h2o()

Create explainer from your h2o model

explain_keras()

Wrapper for Python Keras Models

explain_mlr()

Create explainer from your mlr model

explain_mlr3()

Create explainer from your mlr model

explain_xgboost()

Create explainer from your xgboost model

explain_tidymodels()

Create explainer from your tidymodels workflow.

Addapters for yhat

Specfic versions of the generic yhat function

yhat(<WrappedModel>) yhat(<H2ORegressionModel>) yhat(<H2OBinomialModel>) yhat(<H2OMultinomialModel>) yhat(<scikitlearn_model>) yhat(<keras>) yhat(<LearnerRegr>) yhat(<LearnerClassif>) yhat(<GraphLearner>) yhat(<xgb.Booster>) yhat(<workflow>)

Wrapper over the predict function

Addapters for model_info

Specfic versions of the generic model_info function

model_info(<WrappedModel>) model_info(<H2ORegressionModel>) model_info(<H2OBinomialModel>) model_info(<H2OMultinomialModel>) model_info(<scikitlearn_model>) model_info(<keras>) model_info(<LearnerRegr>) model_info(<LearnerClassif>) model_info(<GraphLearner>) model_info(<xgb.Booster>) model_info(<workflow>)

Exract info from model

Champion Challenger

Function used for Champion Challenger analysys

champion_challenger()

Compare machine learning models

funnel_measure()

Caluculate difference in performance in models across different categories

print(<funnel_measure>)

Print funnel_measure object

plot(<funnel_measure>)

Funnel plot for difference in measures

overall_comparison()

Compare champion with challengers globally

print(<overall_comparison>)

Print overall_comparison object

plot(<overall_comparison>)

Plot function for overall_comparison

training_test_comparison()

Compare performance of model between training and test set

print(<training_test_comparison>)

Print funnel_measure object

plot(<training_test_comparison>)

Plot and compare performance of model between training and test set

Misc

print(<scikitlearn_set>)

Prints scikitlearn_set class

create_env()

Create your conda virtual env with DALEX