def importData(self): d = ImportData(globalApplicationDict = self.globalApplicationDict, session = self.getCurrentExporer().session, ) if d.exec_(): self.getCurrentExporer().refresh( )
def importData(self): d = ImportData( globalApplicationDict=self.globalApplicationDict, session=self.getCurrentExporer().session, ) if d.exec_(): self.getCurrentExporer().refresh()
def openNeoFile(self): dbinfo = open_db(url = 'sqlite://', myglobals = None, suffix_for_class_name = '', use_global_session = False, relationship_lazy = False, object_number_in_cache = None, max_binary_size = MAX_BINARY_SIZE, compress = None,) w = ImportData(dbinfo = dbinfo, use_thread = False) if w.exec_(): name = '{} {}'.format(w.ioclass.name, os.path.basename(w.names[0]) ) explorer = MainExplorer(dbinfo = dbinfo, name = name) self.explorers.append(explorer) self.tabDatabases.addTab( explorer , QIcon(':/document-open-folder.png'), name) self.tabDatabases.setCurrentIndex(self.tabDatabases.count()-1)
def openNeoFile(self): dbinfo = open_db( url='sqlite://', myglobals=None, suffix_for_class_name='', use_global_session=False, relationship_lazy=False, object_number_in_cache=None, max_binary_size=MAX_BINARY_SIZE, compress=None, ) w = ImportData(dbinfo=dbinfo, use_thread=False) if w.exec_(): name = '{} {}'.format(w.ioclass.name, os.path.basename(w.names[0])) explorer = MainExplorer(dbinfo=dbinfo, name=name) self.explorers.append(explorer) self.tabDatabases.addTab(explorer, QIcon(':/document-open-folder.png'), name) self.tabDatabases.setCurrentIndex(self.tabDatabases.count() - 1)
def openImportData(self): w = ImportData(dbinfo = self.dbinfo) w.setWindowTitle('Import new data in database') if w.exec_(): self.refresh()
def execute(self, session, explorer, treedescription, **kargs): w = ImportData(dbinfo = treedescription.dbinfo) w.setWindowTitle('Import new data in database') if w.exec_(): explorer.refresh()
def execute(self, session, explorer, treedescription, **kargs): w = ImportData(dbinfo=treedescription.dbinfo) w.setWindowTitle('Import new data in database') if w.exec_(): explorer.refresh()
def openImportData(self): w = ImportData(dbinfo=self.dbinfo) w.setWindowTitle('Import new data in database') if w.exec_(): self.refresh()
from importdata import ImportData from plotnetwork import PlotNetwork from learn import LearnRBF from Node import Node from Network import Network from k_means_cluster import * from ploterror import PlotError import matplotlib.pyplot as plt data = ImportData() num_hidden_nodes = 10 sigma_value = .4 network = Network(num_hidden_nodes, sigma_value) network = k_means_cluster(network, data[0]) for i in range(3): PlotNetwork(network, data) network,old_centers = k_means_update(network,data[0]) update_found = False for j in range(len(old_centers)): if network.hidden_nodes[j].center != old_centers[j]: update_found = True if update_found != True: break network, data, global_train_err, global_test_err = LearnRBF(data, network) PlotError(global_train_err, global_test_err, 1000)