| saveRDS {SpatialDDLS} | R Documentation |
Save SpatialDDLS objects as RDS files
Description
Save 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.
Usage
saveRDS(
object,
file,
ascii = FALSE,
version = NULL,
compress = TRUE,
refhook = NULL
)
## S4 method for signature 'DeconvDLModel'
saveRDS(
object,
file,
ascii = FALSE,
version = NULL,
compress = TRUE,
refhook = NULL
)
## S4 method for signature 'SpatialDDLS'
saveRDS(
object,
file,
ascii = FALSE,
version = NULL,
compress = TRUE,
refhook = NULL
)
Arguments
object |
|
file |
File path where the object will be saved |
ascii |
a logical. If |
version |
the workspace format version to use. |
compress |
a logical specifying whether saving to a named file is
to use |
refhook |
a hook function for handling reference objects. |
Value
No return value, saves a SpatialDDLS object as
an RDS file on disk.
See Also
SpatialDDLS saveTrainedModelAsH5