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NEWS.md

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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.