Save DigitalDLSorter
and
DigitalDLSorterDNN
objects as RDS files. 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. If the
trained.model
slot is empty, the function will behave as usual.
Note: with this option, the state of optimizer is not saved, only
the architecture and weights. 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. See documentation for details.
saveRDS(
object,
file,
ascii = FALSE,
version = NULL,
compress = TRUE,
refhook = NULL
)
# S4 method for class 'DigitalDLSorterDNN'
saveRDS(
object,
file,
ascii = FALSE,
version = NULL,
compress = TRUE,
refhook = NULL
)
# S4 method for class 'DigitalDLSorter'
saveRDS(
object,
file,
ascii = FALSE,
version = NULL,
compress = TRUE,
refhook = NULL
)
DigitalDLSorter
or
DigitalDLSorterDNN
object to be saved
File path where the object will be saved
a logical. If TRUE
or NA
, an ASCII
representation is written; otherwise (default), a binary one is used.
See the comments in the help for save
.
the workspace format version to use. NULL
specifies the current default version (3). The only other supported
value is 2, the default from R 1.4.0 to R 3.5.0.
a logical specifying whether saving to a named file is
to use "gzip"
compression, or one of "gzip"
,
"bzip2"
or "xz"
to indicate the type of compression to
be used. Ignored if file
is a connection.
a hook function for handling reference objects.
No return value, saves a DigitalDLSorter
object
as an RDS file on disk.