Source code for gui.core.crossValidateMethods.cv_GBR

from PyQt5 import QtWidgets
from sklearn.ensemble import GradientBoostingRegressor

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




class Ui_Form(Ui_Form, GradientBoostingRegressor, Modules):


    def setupUi(self, Form):
        super().setupUi(Form)
        self.checkMinAndMax()
        self.connectWidgets()




    def get_widget(self):
        return self.formGroupBox




    def setHidden(self, bool):
        self.get_widget().setHidden(bool)




    def connectWidgets(self):
        pass




    def run(self):
        params = {
            'learning_rate': [float(i) for i in
                self.learninglineEdit.text().split(',')],
            'n_estimators': [int(i) for i in
                self.numEstlineEdit.text().split(',')],
            'max_depth': [int(i) for i in
                self.maxdepthlineEdit.text().split(',')],
            'random_state': [0]
        }
        return params




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_())