SpatialDDLS objects as RDS filesSave SpatialDDLS and DeconvDLModel
objects as RDS files. keras models cannot be stored natively as R
objects (e.g. RData or RDS files). By saving the architecture as a JSON-like
character object and the weights as a list, it is possible to retrieve a
functional model and make new 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 model's architecture and weights.
It is possible to save the entire model as an HDF5 file with the
saveTrainedModelAsH5 function and load it into a
SpatialDDLS object with the
loadTrainedModelFromH5 function. See documentation for details.
saveRDS(
object,
file,
ascii = FALSE,
version = NULL,
compress = TRUE,
refhook = NULL
)# S4 method for DeconvDLModel
saveRDS(
object,
file,
ascii = FALSE,
version = NULL,
compress = TRUE,
refhook = NULL
)
# S4 method for SpatialDDLS
saveRDS(
object,
file,
ascii = FALSE,
version = NULL,
compress = TRUE,
refhook = NULL
)
No return value, saves a SpatialDDLS object as
an RDS file on disk.
SpatialDDLS or
DeconvDLModel 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.
SpatialDDLS saveTrainedModelAsH5