Prepare a DigitalDLSorter
object that has a
DigitalDLSorterDNN
object with a trained DNN model.
keras
models cannot be stored natively as R objects (e.g. RData or RDS
files). By saving the structure as a JSON-like character object and the
weights as a list, it is possible to retrieve the model and make predictions.
Note: with this option, the state of optimizer is not saved, only
the architecture and weights.
preparingToSave(object)
DigitalDLSorter
object with the
trained.data
slot.
A DigitalDLSorter
or
DigitalDLSorterDNN
object with its trained keras model
transformed from a keras.engine.sequential.Sequential
class into a
list
with the architecture as a JSON-like character object and the
weights as a list.
It is possible to save the entire model as an HDF5 file with the
saveTrainedModelAsH5
function and to load it into a
DigitalDLSorter
object with the
loadTrainedModelFromH5
function.
It is also possible to save a DigitalDLSorter
object as
an RDS file with the saveRDS
function without any preparation.