from_preds_to_dist: Define Predictor of a Deep Distributional Regression Model
In deepregression: Fitting Deep Distributional Regression

from_preds_to_dist

R Documentation

Define Predictor of a Deep Distributional Regression Model

Description

Define Predictor of a Deep Distributional Regression Model

Usage

from_preds_to_dist(
  list_pred_param,
  family = NULL,
  output_dim = 1L,
  mapping = NULL,
  from_family_to_distfun = make_tfd_dist,
  from_distfun_to_dist = distfun_to_dist,
  add_layer_shared_pred = function(x, units) layer_dense(x, units = units, use_bias =
    FALSE),
  trafo_list = NULL
)

Arguments

`list_pred_param`	list of input-output(-lists) generated from `subnetwork_init`
`family`	see `?deepregression`; if NULL, concatenated `list_pred_param` entries are returned (after applying mapping if provided)
`output_dim`	dimension of the output
`mapping`	a list of integers. The i-th list item defines which element elements of `list_pred_param` are used for the i-th parameter. For example, `mapping = list(1,2,1:2)` means that `list_pred_param[[1]]` is used for the first distribution parameter, `list_pred_param[[2]]` for the second distribution parameter and `list_pred_param[[3]]` for both distribution parameters (and then added once to `list_pred_param[[1]]` and once to `list_pred_param[[2]]`)
`from_family_to_distfun`	function to create a `dist_fun` (see `?distfun_to_dist`) from the given character `family`
`from_distfun_to_dist`	function creating a tfp distribution based on the prediction tensors and `dist_fun`. See `?distfun_to_dist`
`add_layer_shared_pred`	layer to extend shared layers defined in `mapping`
`trafo_list`	a list of transformation function to convert the scale of the additive predictors to the respective distribution parameter