text 0.9.03

Adding option to deselect the step_centre and step_scale in training.
Cross-validation method in textTrainRegression() and textTrainRandomForrest() have two options cv_folds and validation_split. (0.9.02)
Better handling of NA in step_naomit in training.
DistilBert model works (0.9.03)

textProjectionPlot plots words extreme in more than just one feature (i.e., words are now plotted that satisfy, for example, both plot_n_word_extreme and plot_n_word_frequency). (0.9.01)
textTrainRegression and textTrainRandomForest also have function that select the max evaluation measure results (before only minimum was selected all the time, which, e.g., was correct for rmse but not for r) (0.9.02)
removed id_nr in training and predict by using workflows (0.9.02).