SNN2.src.model.modelHandler module

class module

Use this module to manage the model objects and create a siamese network model

class SNN2.src.model.modelHandler.DefaultModelHandler(params: ~SNN2.src.decorators.decorators.c_logger.<locals>.augmented_cls, embeddings: ~SNN2.src.decorators.decorators.c_logger.<locals>.augmented_cls, layers: ~SNN2.src.decorators.decorators.c_logger.<locals>.augmented_cls, metrics: ~SNN2.src.decorators.decorators.c_logger.<locals>.augmented_cls, losses: ~SNN2.src.decorators.decorators.c_logger.<locals>.augmented_cls, lossParam: ~SNN2.src.decorators.decorators.c_logger.<locals>.augmented_cls, numpyRNG: ~SNN2.src.decorators.decorators.c_logger.<locals>.augmented_cls, ph: ~SNN2.src.io.pickleHandler.PickleHandler, logger: ~SNN2.src.io.logger.LogHandler, hash: str | None = None, debug: bool = False, **kwargs)

Bases: object

compile(custom_model: str, *args, **kwargs) → Model

define_model(inputs, outputs) → Model

get_weights() → Any

load(extend: str | None = None) → None

save(obj: Any | None = None, extend: str | None = None) → None

set_weights(weights) → Any

summary() → str

write_msg(msg: str, level: int = 20) → None

__write_msg. write a message into the log file with a defined log level

Parameters:

• msg (str) – msg to print

• level (int) – level default info

Return type:

none