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()
