def MainUCI(): n_hidden = 32 n_classes = 6 learning_rate = 0.0025 lambda_loss_amount = 0.0015 training_iters = 300 batch_size = 1500 display_iter = 30000 ds = DataSet("datasets/ShelveUCIData", 'l') shelveDataFile = ds.PreparingData() rnn = rnnuci(shelveDataFile, n_hidden=n_hidden, n_classes=n_classes, learning_rate=learning_rate, lambda_loss_amount=lambda_loss_amount, training_iters=training_iters, batch_size=batch_size, display_iter=display_iter) rnn.TrainingRNNandAccuracy()
from DataSet import DataSet from CNN4Layers import CNN segment_size = 128 n_filters = 196 n_channels = 9 epochs = 1000 batch_size = 600 learning_rate = 0.0001 keep_prob = 0.5 eval_iter = 10 filters_size = 16 n_classes = 6 pathDataset = 'datasets/data' ds = DataSet(pathDataset, 'l') shelveDataFile = ds.PreparingData() cnn = CNN(shelveDataFile, segment_size=segment_size, n_filters=n_filters, n_channels=n_channels, epochs=epochs, batch_size=batch_size, learning_rate=learning_rate, keep_prob=keep_prob, eval_iter=eval_iter, filters_size=filters_size, n_classes=n_classes) # cnn.RunAndTraining() cnn.Testing()