settings.online = True nodes = 200 lr = 0.003#231262326395 settings.nodes = nodes settings.batch_size = 128 settings.lr = lr settings.loss = 'mae' settings.stateful=False settings.lookback = 50 settings.lookback_as_features=False settings.feature_count = 3 settings.predictionStep = 5 settings.season = 48 settings.adam_eps = 0.001 settings.retrain_interval = 1000 settings.reset_on_retrain = False settings.refeed_on_retrain = True settings.cutoff_normalize = True settings.use_dropout = True settings.nTrain = 5000 settings.ignore_for_error = [5500,10000] settings.normalization_type = 'default' settings.implementation = 'keras' settings.rnn_type = 'lstm' settings.use_binary = False settings.limit_to = None settings.finalize() mase = run_gru(settings) print mase
settings.online = True nodes = 20 lr = 0.1 settings.nodes = nodes settings.batch_size = 1 settings.lr = lr settings.loss = 'mse' settings.stateful = False settings.lookback = None settings.lookback_as_features = False settings.feature_count = 3 settings.predictionStep = 5 settings.season = 48 settings.adam_eps = 0.001 settings.retrain_interval = 336 settings.reset_on_retrain = True settings.refeed_on_retrain = False settings.cutoff_normalize = False settings.use_dropout = False settings.nTrain = 5000 settings.ignore_for_error = [5500, 10000] settings.normalization_type = 'default' settings.implementation = 'keras' settings.rnn_type = 'lstm' settings.use_binary = False settings.limit_to = None settings.finalize() mase = run_gru(settings) print mase