iml 0.4.0 (IN PROGRESS)

• object$run() does not return self any longer. This means using object$set.feature() for example does not automatically print the object summary any longer.
• Added an introductory vignette.
• Fixed an issue where the Predictor would not store X, when y is given as character.
• The column names of the data.frames with the results of the interpretation methods start with “.” instead of “..”. This is due to a recent change in the data.table package v1.10.5 news item 18.
• Removed the deprecated classes PartialDependence and Ice. Use Partial instead.

iml 0.3.0

• FeatureImp$results column permutationError renamed to permutation.error
• Allow setting distance function in LocalModel
• Merge the classes Ice and PartialDependence into Partial
• The newly introduced Partial class can plot ice and pd curves, also in the same plot
• It is now possible to center partial dependence plots
• In obj$results has a new column “type” which contains either “ice” or “pdp”. The column ..individual was renamed to “..id” and “y.hat” has been renamed to “..y.hat”.
• Ice and PartialDependence will be deprecated starting from 0.4.x
• Adds argument and field types in the documentation

iml 0.2

• The API has been reworked:
• User directly interacts with R6 classes (pdp() is now PartialDependence$new()).
• User has to wrap the machine learning model with Predictor$new().
• New data points in Shapley and LocalModel can be set with $explain().
• Lime has been renamed to LocalModel.
• Plots have been improved.
• Documentation has been improved.

iml 0.1

Initial release