Source code for gui.core.regressionMethods.Lasso

from PyQt5 import QtWidgets
from sklearn.linear_model import Lasso

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




class Ui_Form(Ui_Form, Lasso, Modules):


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




    def get_widget(self):
        return self.groupBox




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




    def connectWidgets(self):
        self.alpha_text.setText(str(self.alpha))
        self.fitInterceptCheckBox.setChecked(self.fit_intercept)
        self.maxNumOfIterationsSpinBox.setValue(self.max_iter)
        self.toleranceDoubleSpinBox.setValue(self.tol)
        self.forcePositiveCoefficientsCheckBox.setChecked(self.positive)




    def run(self):
        params = {
            'alpha': float(self.alpha_text.text()),
            'fit_intercept': self.fitInterceptCheckBox.isChecked(),
            'max_iter': int(self.maxNumOfIterationsSpinBox.value()),
            'tol': self.toleranceDoubleSpinBox.value(),
            'positive':
                self.forcePositiveCoefficientsCheckBox.isChecked(),
            'selection': 'random',
            'random_state': 1
        }

        return params, self.getChangedValues(params, Lasso())




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_())