The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

live 1.5.13

• Attempted fix for Solaris issues.

live 1.5.12

• Fixes issues on Windows.

live 1.5.11

• Update after changes in glmnet.

live 1.5.10

• Updated CITATION.
• Removed unnecessary dependency.

live 1.5.9

• Dropped old interface.
• Improved distance calculations.
• … argument added to plot.

live 1.5.8

• Allow setting seed before sampling in sample_locally2 to make results reproducible.
• Add new explainer: local_permutation_importance function.
• Fixed problems with mlr dependency.
• Add shortcut function for DALEX explainers: local_approximation.

live 1.5.7

• New method of sampling (“normal”).

1ive 1.5.6

• Waterfall plots can be viewed in a Shiny app.

live 1.5.5

• Fixed bug related to standardizing columns in fit_explanation.

live 1.5.4

• Old interface dropped.

live 1.5.3

• Minor fix to euclidean_kernel function.
• Default kernel in fit_explanation is now gaussian_kernel.
• Order of arguments changed in add_predictions and data arguments defaults to NULL.
• Variables are standardized after predictions are added, before explanation model is fitted in fit_explanation function.

live 1.5.2

• Print functions for results of sample_locally, add_predictions and fit_explanation.

live 1.5.1

• New, LIME-like method of sampling as an option in sample_locally.

live 1.5.0

• Observations in simulated dataset can now be weighted according to their distance from the explained instance. The distance is defined by kernel argument to fit_explanation function.
• Some variables can be excluded from sampling. This is controled via fixed_variables argument to sample_locally function.
• Documentation was improved.
• Object returned by sample_locally, add_predictions and fit_explanation functions now carry more information (mainly explained instance) so some function calls were simplified (plot_explanation).

live 1.4.2

• Fixed bug in variable selection.

live 1.4.1

• Variable selection is now better suited to work with factor/character variables.

live 1.4.0

• Variable selection is now based on LASSO as implemented in glmnet package.
• Updated documentation and vignette.

live 1.3.3

• add_predictions also returns black box model object (model element).

live 1.3.2

• Hyperparameters can be also passed to add_predictions function.

live 1.3.1

• fit_explanation is now more flexible, can take a list of hyperparameters for a chosen model.

live 1.3.0

• For classification problems waterfall plots can be drawn on probability or logit scale.

live 1.2.0

• Now using forestmodel package for better factor handling.

live 1.1.2

• Date variables will now be hold constant while performing local exploration.
• Improved performance.

live 1.1.1

• add_predictions improved to handle more learners (for example ranger).

live 1.1.0

• Added a NEWS.md file to track changes to the package.
• sample\_locally uses data.table for faster local exploration.

live 1.0.0

• Cheatsheet added.
• First package release.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.