Source code for gui.core.crossValidateMethods.cv_Ridge

import numpy as np
from PyQt5 import QtWidgets, QtCore
from sklearn.linear_model import Ridge
from sklearn.linear_model import RidgeCV

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




class Ui_Form(Ui_Form, Ridge, RidgeCV, Modules):


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




    def get_widget(self):
        return self.Ridge




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




    def connectWidgets(self):
        ridge = Ridge()

        self.n_alpha_spinBox.setValue(100)
        self.fit_intercept_list.setCurrentItem(
            self.fit_intercept_list.findItems(
                str(ridge.fit_intercept),
                QtCore.Qt.MatchExactly
            )[0]
        )




    def run(self):
        fit_intercept_items = [i.text() == 'True' for i in
            self.fit_intercept_list.selectedItems()]
        alphas = np.logspace(
            np.log10(float(self.min_alpha_line_edit.text())),
            np.log10(float(self.max_alpha_line_edit.text())),
            num=self.n_alpha_spinBox.value()
        )

        params = {
            'alpha': alphas,
            'fit_intercept': fit_intercept_items
        }

        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_())