NEWS.md

In live: Local Interpretable (Model-Agnostic) Visual Explanations

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.

live documentation built on Jan. 17, 2020, 9:06 a.m.