save_model_tf
Save/Load models using SavedModel format
Description
Save/Load models using SavedModel format
Usage
save_model_tf(
object,
filepath,
overwrite = TRUE,
include_optimizer = TRUE,
signatures = NULL,
options = NULL
)
load_model_tf(filepath, custom_objects = NULL, compile = TRUE) Arguments
| Arguments | Description |
|---|---|
| object | Model object to save |
| filepath | File path |
| overwrite | Overwrite existing file if necessary |
| include_optimizer | If TRUE, save optimizer’s state. |
| signatures | Signatures to save with the SavedModel. Please see the signatures argument in tf$saved_model$save for details. |
| options | Optional tf$saved_model$SaveOptions object that specifies options for saving to SavedModel |
| custom_objects | Mapping class names (or function names) of custom (non-Keras) objects to class/functions (for example, custom metrics or custom loss functions). This mapping can be done with the dict() function of reticulate. |
| compile | Whether to compile the model after loading. |
See Also
Other model persistence: get_weights(), model_to_json(), model_to_yaml(), save_model_hdf5(), save_model_weights_hdf5(), serialize_model()