Man pages for pkopper/deeppam
Machine Learning for Time-to-Event Data with Semi-Structured Deep Piecewise Additive Models
| add_test_data | Attach test data to DeepPAM model for testing via pec::pec. |
| deeppam | Construct a DeepPAM model with mgcv and keras. |
| DRO | calculate Demmler-Reinsch orthogonalization |
| from_ped_to_tensor | Transform PED data to an array / tensor |
| from_unstructured_to_deeppam_tensor | Transform unstructured data to an array / tensor that fits to... |
| make_psd | Helper functions from the deepregression package and from... |
| make_test_ped | Creation of a generic test PED dataframe |
| predict.deeppam | Predicted values based on deeppam object. |
| predictSurvProb.deeppam | Predicting Survival Probabilites |
| sparse_mat_to_tensor | convert sparse matrix to sparse tensor |
