ModelOriented Auditor Versions Save

Model verification, validation, and error analysis

1.3.3

2 years ago
  • bugfix: score_auc()
  • add spellcheck
  • fix spelling
  • markdown added to suggests

1.3.0

3 years ago
  • new default color palete DALEX::colors_discrete_drwhy
  • depend on R v3.5 to comply with DALEX
  • Allow for some deprecated names in plot() function, to make it compatible with the paper auditor: an R Package for Model-Agnostic Visual Validation and Diagnostics in The R Journal,
  • add arrow_size to plot_pca and increase the default width value to 2
  • add show_rugs to plot_residual_density which allows to hide the rugs layer
  • add score_auprc which calculates the AUPRC measure
  • add plot_prc which plots the Precision-Recall Curve
  • use stringsAsFactors=TRUE when creating data.frame in model_*() functions
  • add coord_fixed to plot_coord_fixed
  • add predict_funcion and residual_function to audit function

1.2.0

4 years ago
  • Change score parameter to type in score() function
  • Fix a bug in calculating Cook's distances
  • Fix a bug in plotting Lift Charts

1.1.0

4 years ago
  • Szymon Maksymiuk is now contributor
  • New score functions: score_acc, score_f1, score_precision, score_recall, score_specificity, score_one_minus_acc, score_one_minus_auc, score_one_minus_f1, score_one_minus_precision, score_one_minus_specificity, score_one_minus_recall

1.0.0

4 years ago

0.3.0

5 years ago

auditor 0.3.0

  • New five vignettes with examples.
  • Second pipeline with new computational functions: modelResiduals(), modelEvaluation(), modelFit(), modelPerformance(), observationInfluence().
  • New plot: plotResidualBoxplot()

0.2.1

6 years ago
  • In the source code, function isFALSE() is replaced by == FALSE to make package compatible with R versions older than 3.5.

0.2.0

6 years ago

0.1.2

6 years ago

In this version, new features have been added.

  • two sided ECDF plot
  • residuals density plot
  • pairs plot for residuals and fitted values

0.1.1

6 years ago

In this version new features have been added.

  • ROC curves and their extensions for regression
  • LIFT and Cumulative Gains curves