Source code for gui.core.regressionMethods.LassoLARS

from PyQt5 import QtWidgets
from sklearn.linear_model import LassoLars

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




class Ui_Form(Ui_Form, 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):
        # LassoLARS
        ll = LassoLars()
        self.alpha_text.setText(str(ll.alpha))
        self.fit_interceptCheckBox.setChecked(ll.fit_intercept)
        self.normalizeCheckBox.setChecked(ll.normalize)
        self.max_iterSpinBox.setValue(ll.max_iter)
        self.positiveCheckBox.setChecked(ll.positive)




    def run(self):
        params = {
            'alpha': self.alpha_text.text(),
            'fit_intercept': self.fit_interceptCheckBox.isChecked(),
            'verbose': False,
            'normalize': self.normalizeCheckBox.isChecked(),
            'precompute': True,
            'max_iter': self.max_iterSpinBox.value(),
            'copy_X': True,
            'fit_path': True,
            'positive': self.positiveCheckBox.isChecked()
        }
        params_check = dict(params)
        return params, self.getChangedValues(params_check, LassoLars())




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_())