def on_menu_file_open(self, widget):
dialog = Gtk.FileChooserDialog("Please choose a file", self,
Gtk.FileChooserAction.OPEN,
(Gtk.STOCK_CANCEL, Gtk.ResponseType.CANCEL,
Gtk.STOCK_OPEN, Gtk.ResponseType.OK))
self.add_filters(dialog)
response = dialog.run()
if response == Gtk.ResponseType.OK:
# reset
self.nninfo.reset()
self.log_refresh()
print("Open clicked")
print("File selected: " + dialog.get_filename())
print(self.traning_testing_rate_sb.get_value() / 100)
self.dataset.set_file_name(dialog.get_filename())
self.dataset.open_file()
# log info
file_name = dialog.get_filename().split('/')[-1]
if self.dataset.get_data_size() > 100:
print("tt rate\t", self.traning_testing_rate_sb.get_value())
self.training_set = self.dataset.get_data(
self.traning_testing_rate_sb.get_value() / 100, approach="func")
self.training_set = (dp.to_ndata(
self.training_set[0]), self.training_set[1])
self.testing_set = self.dataset.get_data(
1 - self.traning_testing_rate_sb.get_value() / 100, approach="func")
self.testing_set = (dp.to_ndata(
self.testing_set[0]), self.testing_set[1])
else:
self.training_set = self.dataset.get_data(
1, approach="func", is_random=False)
self.training_set = (dp.to_ndata(
self.training_set[0]), self.training_set[1])
self.testing_set = self.dataset.get_data(1, approach="func")
self.testing_set = (dp.to_ndata(
self.testing_set[0]), self.testing_set[1])
self.nninfo.traning.Data_set_size = len(self.training_set[1])
self.nninfo.testing.Data_set_size = len(self.testing_set[1])
print(self.training_set)
self.dataset_info_msg_lab.set_text((file_name[0:18] + "..." if len(file_name) > 20 else file_name) + " \n" + self.dataset.get_data_size(
).__str__() + " \n" + self.dataset.get_data_dimension().__str__() + " \n" + self.dataset.get_data_classification_num().__str__() + " ")
# self.traning_draw_paper.resetpaper()
# self.testing_draw_paper.resetpaper()
elif response == Gtk.ResponseType.CANCEL:
print("Cancel clicked")
#print(self.data, ", ", self.class_table, ", ", tmp_table)
dialog.destroy()
def on_clicked_generate(self, widght):
if self.dataset.get_data_size() > 100:
print("tt rate\t", self.traning_testing_rate_sb.get_value())
self.training_set = self.dataset.get_data(self.traning_testing_rate_sb.get_value() / 100)
self.training_set = (dp.to_ndata(self.training_set[0]), self.training_set[1])
self.testing_set = self.dataset.get_data(1 - self.traning_testing_rate_sb.get_value() / 100)
self.testing_set = (dp.to_ndata(self.testing_set[0]), self.testing_set[1])
else:
self.training_set = self.dataset.get_data(1)
self.training_set = (dp.to_ndata(self.training_set[0]), self.training_set[1])
self.testing_set = self.dataset.get_data(1)
self.testing_set = (dp.to_ndata(self.testing_set[0]), self.testing_set[1])
self.nninfo.traning.Data_set_size = len(self.training_set[1])
self.nninfo.testing.Data_set_size = len(self.testing_set[1])
