Source code for gui.core.regressionMethods.ARD

from PyQt5 import QtWidgets
from sklearn.linear_model import ARDRegression

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


[docs] class Ui_Form(Ui_Form, ARDRegression, 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 toggle_params(self, widgets, state): for w in widgets: if state: w.setHidden(True) else: w.setHidden(False)
[docs] def connectWidgets(self): alphawidgets = [ self.alpha1Label, self.alpha1DoubleSpinBox, self.alpha2Label, self.alpha2DoubleSpinBox, ] lambdawidgets = [ self.lambdaLabel, self.lambdaDoubleSpinBox, self.lambdaLabel_2, self.lambdaDoubleSpinBox_2, ] self.alpha_checkbox.stateChanged.connect( lambda: self.toggle_params(alphawidgets, self.alpha_checkbox.isChecked()) ) self.lambda_checkbox.stateChanged.connect( lambda: self.toggle_params(lambdawidgets, self.lambda_checkbox.isChecked()) ) self.alpha_checkbox.setChecked(True) self.lambda_checkbox.setChecked(True)
[docs] def run(self): params = { "n_iter": self.numOfIterationsSpinBox.value(), "tol": self.toleranceDoubleSpinBox.value(), "alpha_1": self.alpha1DoubleSpinBox.value(), "alpha_2": self.alpha2DoubleSpinBox.value(), "lambda_1": self.lambdaDoubleSpinBox.value(), "lambda_2": self.lambdaDoubleSpinBox_2.value(), "threshold_lambda": self.thresholdLambdaSpinBox.value(), "fit_intercept": self.fitInterceptCheckBox.isChecked(), "normalize": self.normalizeCheckBox.isChecked(), } return params, self.getChangedValues(params, ARDRegression())
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_())