Source code for gui.core.crossValidateMethods.cv_LARS
from PyQt5 import QtWidgets, QtCore
from sklearn.linear_model import Lars
from gui.ui.cv_LARS import Ui_Form
from gui.util.Modules import Modules
[docs]
class Ui_Form(Ui_Form, Modules):
[docs]
def connectWidgets(self):
lars = Lars()
self.fit_intercept_listWidget.setCurrentItem(
self.fit_intercept_listWidget.findItems(
str(lars.fit_intercept),
QtCore.Qt.MatchExactly
)[0]
)
self.n_nonzero_coefsLineEdit.setText(str(lars.n_nonzero_coefs))
[docs]
def run(self):
fit_intercept_items = [i.text() == 'True' for i in
self.fit_intercept_listWidget.selectedItems()]
params = {
'fit_intercept': fit_intercept_items,
'verbose': [True],
'precompute': ['auto'],
'n_nonzero_coefs': [int(i) for i in
self.n_nonzero_coefsLineEdit.text().split(
','
)],
'copy_X': [True],
'fit_path': [False]
}
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_())