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Changelog

Source: NEWS.md

cito 1.1

New features

  • hyperparameter tuning (experimental)
  • burnin parameter
  • multivariate probit model
  • X and Y support (alternative interface)
  • negative binomial distribution

Minor changes

  • Improved vignette
  • Improved README

Bug fixes

  • dropout is turned off after training (into evaluation mode)
  • predict type was changed
  • small bug in the activation functions
  • extended support for mps devices

cito 1.0.2

CRAN release: 2023-10-06

New features

  • conditional Effects (approximate linear effects)
  • uncertainties via bootstrapping (can be forwarded to all functions)
  • summary() can return standard errors and p-values for xAI metrics
  • improved documentation / several new vignettes
  • baseline loss
  • loss = inf/na is not captured, training is aborted and user will be warned
  • mps (M1/M2 gpu) device is now supported

Bug fixes

  • early stopping (ignored validation loss)
  • weights are only saved for best and last epoch
  • gaussian likelihood works now properly
  • reguarlization loss is not visualized
  • reduce lr on plateau works now with validation loss

cito 1.0.1

CRAN release: 2023-03-13

New features

  • predict function can now return directly the class
  • custom loss and parameter can now also be optimized
  • summary function (importances) does now support loss = binomial

Minor changes

  • print of summary is now more clear

Bug fixes

  • in ALE function providing new data did not work properly
  • Performance improvements with new dataloader
  • ALE/PDP work now correctly for softmax
  • PDP ICE return now correct curves
  • Early stopping works now
  • lr reducer on plateau didn’t reduce lr
  • Predictions are now made on cuda of the model is stored on cuda