workflow.ignite.handlers package

class workflow.ignite.handlers.BestModelTrigger(metric_name, extra_triggered_engines=[])

Event = 'new_best_model'

attach(engine)

class workflow.ignite.handlers.EarlyStopping(model_score_function, trainer, config)

attach(engine)

class workflow.ignite.handlers.EpochLogger

attach(engine)

class workflow.ignite.handlers.MetricsLogger(name)

attach(engine, metric_names)

class workflow.ignite.handlers.ModelCheckpoint(model_score_function=None, n_saved=1)

dirname = 'checkpoints'

filename_prefix = 'model'

attach(engine, *args, **kwargs)

static load(to_load, dirname=None, device=None, suffix=None)

class workflow.ignite.handlers.ModelScore(model_score_function, checkpoint_state, evaluator_metrics, tensorboard_logger, config, n_saved=1)

attach(trainer, evaluators)

class workflow.ignite.handlers.ProgressBar(desc, *args, **kwargs)