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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 (Python) pipeline |
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sentiment_scores_r()
|
Sentiment analysis with Python packages |
|
text_classification_pipeline_r()
|
Fit and evaluate the pipeline |
|
text_data
|
Patient experience data |