| class_balance_accuracy_score_r | Class Balance Accuracy Score |
| factory_data_load_and_split_r | Split dataset into training and test sets |
| factory_model_performance_r | Evaluate the performance of a fitted pipeline |
| factory_pipeline_r | Prepare and fit a text classification pipeline |
| factory_predict_unlabelled_text_r | Predict unlabelled text using a fitted 'Scikit-learn'... |
| pipe | Pipe operator |
| sentiment_scores_r | Sentiment analysis with Python packages |
| text_classification_pipeline_r | Fit and evaluate the pipeline |
| text_data | Patient experience data |
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