| 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 |