| Step | Fast | Description |
|---|---|---|
| calibrate_classification | Calibrate a classification model | |
| explain_predictions | Explain a prediction model | |
| predict_classification | Use a pretrained classification model to predict new categorical data | |
| predict_clustering | Use a pretrained clustering model to predict new data | |
| predict_dimensionality_reduction | Use a pretrained model to predict embeddings | |
| predict_regression | Use a pretrained model to predict new numerical data | |
| predict_survival | Use a pretrained model to predict new data | |
| test_classification | Evaluate a pretrained classification model on custom test data | |
| test_classification_gpu | Evaluate a pretrained classification model on custom test data | |
| test_regression | Evaluate a pretrained regression model on custom test data | |
| train_classification | Train and store a classification model to be loaded at a later point for prediction | |
| train_classification_gpu | Train and store a classification model to be loaded at a later point for prediction | |
| train_clustering | Train and store a machine learning model to be loaded at a later point for prediction | |
| train_dimensionality_reduction | Train and store a machine learning model to be loaded at a later point for prediction | |
| train_regression | Train and store a regression model to be loaded at a later point for prediction | |
| train_survival | Train and store a survival model to be loaded at a later point for prediction |
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