chainer_chemistry.training.extensions.batch_evaluator.BatchEvaluator

class chainer_chemistry.training.extensions.batch_evaluator.BatchEvaluator(iterator, target, converter=<function concat_examples>, device=None, eval_hook=None, eval_func=None, metrics_fun=None, name=None, logger=None)

__init__(iterator, target, converter=<function concat_examples>, device=None, eval_hook=None, eval_func=None, metrics_fun=None, name=None, logger=None)

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__(iterator, target[, converter, …])	Initialize self.
evaluate()	Evaluates the model and returns a result dictionary.
finalize()	Finalizes the evaluator object.
get_all_iterators()	Returns a dictionary of all iterators.
get_all_targets()	Returns a dictionary of all target links.
get_iterator(name)	Returns the iterator of the given name.
get_target(name)	Returns the target link of the given name.
initialize(trainer)	Initializes up the trainer state.
serialize(serializer)	Serializes the extension state.

Attributes

default_name
name
priority
trigger