View source: R/deepregression.R
from_preds_to_dist | R Documentation |
Define Predictor of a Deep Distributional Regression Model
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 )
list_pred_param |
list of input-output(-lists) generated from
|
family |
see |
output_dim |
dimension of the output |
mapping |
a list of integers. The i-th list item defines which element
elements of |
from_family_to_distfun |
function to create a |
from_distfun_to_dist |
function creating a tfp distribution based on the
prediction tensors and |
add_layer_shared_pred |
layer to extend shared layers defined in |
trafo_list |
a list of transformation function to convert the scale of the additive predictors to the respective distribution parameter |
a list with input tensors and output tensors that can be passed
to, e.g., keras_model
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