def __init__(self, network):
QDialog.__init__(self)
self.ui = Ui_LearningLauncher()
self.ui.setupUi(self)
self.network = network
self.network_layer = network.get_layer(0)
self.default_rectangular_topology_dimension = int(ceil(len(self.network_layer.get_neurons()) ** 0.5))
self._setup_gui()
self.input_view = DataView(self.ui.learningDataView, header="Input",
columns=network.inputs_count())
self.input_view.randomize_data()
class KohonenLearningDialog(QDialog):
def __init__(self, network):
QDialog.__init__(self)
self.ui = Ui_LearningLauncher()
self.ui.setupUi(self)
self.network = network
self.network_layer = network.get_layer(0)
self.default_rectangular_topology_dimension = int(ceil(len(self.network_layer.get_neurons()) ** 0.5))
self._setup_gui()
self.input_view = DataView(self.ui.learningDataView, header="Input",
columns=network.inputs_count())
self.input_view.randomize_data()
@pyqtSlot()
def on_runButton_clicked(self):
if self.ui.neighbourhoodEnabled.isChecked():
neighbourhood = NeighbourhoodUtil.get_neighbourhood(
str(self.ui.neighbourhoodFunctionSelector.currentText()))()
topology = TopologyUtil.get_topology(str(self.ui.topologySelector.currentText()),
neighbourhood, int(self.ui.initialNeighbourhoodRadius.text()),
int(self.ui.topologyRowsValue.text()), int(self.ui.topologyColsValue.text()))
else:
topology = NoTopology()
self.metric = MetricUtil.get_metric(str(self.ui.metricSelector.currentText()))()
learning_factor = LearningFactorUtil.get_factor(str(self.ui.learningFactorSelector.currentText()),
float(self.ui.learningFactorInitialValue.text()), int(self.ui.learningIterations.text()))
conscience_threshold =\
float(self.ui.conscienceThresholdValue.text()) if self.ui.conscienceEnabled.isChecked() else 0
learning_iterations = int(self.ui.learningIterations.text())
learning = KohonenLearning(self.network_layer, topology, self.metric, learning_factor,
conscience_threshold)
learning.learn(DataNormalizer.normalize(self.input_view.get_data()), learning_iterations)
self.accept()
@pyqtSlot()
def on_randomizeButton_clicked(self):
self.input_view.randomize_data()
@pyqtSlot()
def on_readInputButton_clicked(self):
filePath = QFileDialog().getOpenFileName(None, "Select input data file")
try:
with open(filePath, "r") as file:
file_lines = file.readlines()
rows_count = len(file_lines)
self.ui.dataCount.setValue(rows_count)
for (line, row) in zip(file_lines, range(rows_count)):
for (value, column) in zip(line.split(), range(self.input_view.column_count())):
self.input_view.set_data(row, column, float(value))
except Exception as e:
print e
@pyqtSlot(int)
def on_dataCount_valueChanged(self, value):
old_rows_count = self.input_view.row_count()
self.input_view.set_rows(value)
self.input_view.randomize_data(old_rows_count)
@pyqtSlot(int)
def on_topologySelector_currentIndexChanged(self, value):
self.ui.topologyDimensionsBox.setVisible(self.ui.topologySelector.itemText(value).startsWith("2D"))
self.ui.topologyRowsValue.setText(str(self.default_rectangular_topology_dimension))
self.ui.topologyColsValue.setText(str(self.default_rectangular_topology_dimension))
def _setup_gui(self):
self.ui.topologyDimensionsBox.hide()
self.ui.topologySelector.addItems(TopologyUtil.registered_topologies())
self.ui.topologySelector.setCurrentIndex(self.ui.topologySelector.findText(TopologyUtil.default_topology()))
self.ui.neighbourhoodFunctionSelector.addItems(NeighbourhoodUtil.registered_neighbourhoods())
self.ui.neighbourhoodFunctionSelector.setCurrentIndex(
self.ui.neighbourhoodFunctionSelector.findText(NeighbourhoodUtil.default_neighbourhood()))
self.ui.metricSelector.addItems(MetricUtil.registered_metrics())
self.ui.metricSelector.setCurrentIndex(self.ui.metricSelector.findText(MetricUtil.default_metric()))
self.ui.learningFactorSelector.addItems(LearningFactorUtil.registered_factors())
self.ui.learningFactorSelector.setCurrentIndex(
self.ui.learningFactorSelector.findText(LearningFactorUtil.default_factor()))
