Version Updates 3.0.0 Add slot weights to MLModel classes. Allow case weights in LMModel for all response types. Exclude infinite values from calculation of breaks in calibration(). Fix invalid max = Inf arguments to print.default(). Add support for case weights in performance metrics and curves. Evaluate ModelFrame() arguments strata and weights in data environment. Fix issue introduced in package version 2.9.0 of recipe case weights not being used in model fitting. Add column Weight of case weights to Resamples data frame. Rename values column to get_values in MLModel gridinfo slot. Move global settings resample_progress and resample_verbose to set_monitor() arguments progress and verbose. Move MLControl() arguments strata_breaks, strata...
Version Updates 3.4.3 Fix TypeError in dependence() with numeric dummy variables from recipes. Prep...
Version Updates 3.1.0 Add argument na.rm to dependence(). Add global setting stats.VarImp for summa...
Bugs and issues fixed Normalized feature values of NaN now equal to 0. NaN values may be genera...
Version Updates 2.9.0 Rename tibble column regular to default in MLModel gridinfo slot. Redefine si...
Version Updates 3.6.0 Add argument na.rm to MLModel() for construction of a model that automaticall...
Version Updates 3.3.0 Add argument .type with options "glance" and "tidy" to summary.MLModelFit(). ...
Version Updates 3.2.0 Add argument distr and method to dependence(). Add function ParsnipModel() fo...
Version Updates 3.4.1 Add argument conf to set_optim_bayes(). Enable global grid expansion and tuni...
Version Updates 3.5.0 Add argument method to r2() for calculation of Pearson or Spearman correlatio...
Version Updates 3.6.2 Add backward compatibility for older MLModel objects without a na.rm slot. Fi...
stable release after fixing minor issues comply with R v4.0 changes add support for matrix-like data...
MLJ v0.10.0 Diff since v0.9.3 Upgrade to MLJBase 0.12.0 and MLJModels 0.9.0 to effect the following ...
Breaking / API changes: The keyword trainer in MLForge.train() has been renamed to optimizer The g...
v1.7.0 (2023-09-22) Feat new option for selection of model acceptance pattern calculating distribut...
Important changes Online documentation now available at https://lumin.readthedocs.io Breaking Addi...
Version Updates 3.4.3 Fix TypeError in dependence() with numeric dummy variables from recipes. Prep...
Version Updates 3.1.0 Add argument na.rm to dependence(). Add global setting stats.VarImp for summa...
Bugs and issues fixed Normalized feature values of NaN now equal to 0. NaN values may be genera...
Version Updates 2.9.0 Rename tibble column regular to default in MLModel gridinfo slot. Redefine si...
Version Updates 3.6.0 Add argument na.rm to MLModel() for construction of a model that automaticall...
Version Updates 3.3.0 Add argument .type with options "glance" and "tidy" to summary.MLModelFit(). ...
Version Updates 3.2.0 Add argument distr and method to dependence(). Add function ParsnipModel() fo...
Version Updates 3.4.1 Add argument conf to set_optim_bayes(). Enable global grid expansion and tuni...
Version Updates 3.5.0 Add argument method to r2() for calculation of Pearson or Spearman correlatio...
Version Updates 3.6.2 Add backward compatibility for older MLModel objects without a na.rm slot. Fi...
stable release after fixing minor issues comply with R v4.0 changes add support for matrix-like data...
MLJ v0.10.0 Diff since v0.9.3 Upgrade to MLJBase 0.12.0 and MLJModels 0.9.0 to effect the following ...
Breaking / API changes: The keyword trainer in MLForge.train() has been renamed to optimizer The g...
v1.7.0 (2023-09-22) Feat new option for selection of model acceptance pattern calculating distribut...
Important changes Online documentation now available at https://lumin.readthedocs.io Breaking Addi...
Version Updates 3.4.3 Fix TypeError in dependence() with numeric dummy variables from recipes. Prep...
Version Updates 3.1.0 Add argument na.rm to dependence(). Add global setting stats.VarImp for summa...
Bugs and issues fixed Normalized feature values of NaN now equal to 0. NaN values may be genera...