Loading a Model
Function Signature
def load(self, file_location: str) -> None:
Parameters
file_location(str): The location/path from which the model's state will be loaded.
Return Value
This function does not return anything. It loads the model's state from the specified file location.
Description
The load function restores the deeprai.models.FeedForward instance from a saved state located at a file. This can be used to continue training from a checkpoint, or to deploy pre-trained models without the need to retrain them. The model's weights, architecture, and configurations are loaded from the specified file location. Before using this function, ensure the model architecture is the same as the one saved in the file.
Examples
Here's an example of how to use the load function:
from deeprai.models import FeedForward
model = FeedForward()
# Loading the model's state from a file
model.load('path/to/saved/model.deepr')
This code initializes a FeedForward model and then loads its state from the file located at 'path/to/saved/model.deepr'.