Man pages for davidruegamer/deepregression
Fitting Deep Distributional Regression
| check_and_install | Function to check python environment and install necessary... |
| deepregression | Fitting Semi-Structured Deep Distributional Regression |
| deepregression_init | Initializing Deep Distributional Regression Models |
| deeptransformation_init | Initializing Deep Transformation Models |
| dr_families | Families for deepregression |
| dr_init | Initializing a Distributional Regression Model |
| fit | Generic fit function |
| fsbatch_control | Options for Fellner-Schall algorithm |
| get_distribution | Function to return the fitted distribution |
| get_minval | Function to return the minval term |
| get_partial_effect | Return partial effect of one smooth term |
| get_shift | Function to return the shift term |
| get_theta | Function to return the theta term |
| layer_spline | Wrapper function to create spline layer |
| log_score | Function to return the log_score |
| make_folds | Generate folds for CV out of one hot encoded matrix |
| make_generator | creates a generator for training |
| make_generator_from_matrix | Make a DataGenerator from a data.frame or matrix |
| methodDR | Generic functions for deepregression models |
| methodTrafo | Generic functions for deeptrafo models |
| mix_dist_maker | generate mixture distribution of same family |
| multinorm_maker | Implementation of a multivariate normal distribution |
| pipe | Pipe operator |
| plot_cv | Plot CV results from deepregression |
| quantile | Generic quantile function |
| sd | Generic sd function |
| set_weights | Function to set the weights of a deepregression object |
| stop_iter_cv_result | Function to get the stoppting iteration from CV |
| tfd_zinb | Implementation of a zero-inflated negbinom distribution for... |
| tfd_zip | Implementation of a zero-inflated poisson distribution for... |
