Source code for gui.core.regressionMethods.RF

from PyQt5 import QtWidgets
from sklearn.ensemble import RandomForestRegressor

from gui.ui.RandomForest import Ui_Form
from gui.util.Modules import Modules


[docs] class Ui_Form(Ui_Form, RandomForestRegressor, Modules):
[docs] def setupUi(self, Form): super().setupUi(Form) self.checkMinAndMax() self.connectWidgets()
[docs] def get_widget(self): return self.formGroupBox
[docs] def setHidden(self, bool): self.get_widget().setHidden(bool)
[docs] def connectWidgets(self): pass
[docs] def run(self): params = { "n_estimators": int(self.numEstSpinBox.value()), "max_depth": int(self.max_depthSpinBox.value()), "random_state": 0, } return params, self.getChangedValues(params, RandomForestRegressor())
if __name__ == "__main__": import sys app = QtWidgets.QApplication(sys.argv) Form = QtWidgets.QWidget() ui = Ui_Form() ui.setupUi(Form) Form.show() sys.exit(app.exec_())