class_update: check if there are idf values associated with model, before applying weights
estimator: make use of preproc() function for data preprocessing
preproc: function containing all logic with regards to text data preprocessing and weighting
cv_generator: generate folds for nested cv
dfm_gen: added optional lowercasing parameter
estimator: estimate model and performance based on parameters
feat_select: select features based on textstat_keyness
metric_gen: convert output from estimator to model performance metrics
modelizer: updated for new pipeline
modelizer_old: old model pipeline
out_parser: now correctly exported
query_gen_actors: Added an additional generator for the "Institution" type (for EU support)
actorizer: Created an updater function to search for actors and use UDPipe to parse the results
Your Name
Erik de Vries