prepare_input_list_model {deepregression} | R Documentation |
Function to prepare input list for fit process, due to different approaches
Description
Function to prepare input list for fit process, due to different approaches
Usage
prepare_input_list_model(
input_x,
input_y,
object,
epochs = 10,
batch_size = 32,
validation_split = 0,
validation_data = NULL,
callbacks = NULL,
verbose,
view_metrics,
early_stopping
)
Arguments
input_x |
output of prepare_data() |
input_y |
target |
object |
a deepregression object |
epochs |
integer, the number of epochs to fit the model |
batch_size |
integer, the batch size used for mini-batch training |
validation_split |
float in [0,1] defining the amount of data used for validation |
validation_data |
optional specified validation data |
callbacks |
a list of callbacks for fitting |
verbose |
logical, whether to print losses during training. |
view_metrics |
logical, whether to trigger the Viewer in RStudio / Browser. |
early_stopping |
logical, whether early stopping should be user. |
Value
list of arguments used in fit function
[Package deepregression version 2.2.0 Index]