Description Usage Arguments Value
View source: R/deepregression.R
Compile a Deep Distributional Regression Model
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list_pred_param 
list of inputoutput(lists) generated from

weights 
vector of positive values; optional (default = 1 for all observations) 
optimizer 
optimizer used. Per default Adam 
model_fun 
which function to use for model building (default 
monitor_metrics 
Further metrics to monitor 
from_preds_to_output 
function taking the list_pred_param outputs and transforms it into a single network output 
loss 
the model's loss function; per default evaluated based on
the arguments 
additional_penalty 
a penalty that is added to the negative loglikelihood; must be a function of model$trainable_weights with suitable subsetting 
... 
arguments passed to 
a list with input tensors and output tensors that can be passed
to, e.g., keras_model
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