Source code for gui.ui.cv_LassoLARS

# -*- coding: utf-8 -*-

# Automatically generated - don't edit.
# Use `python setup.py build_ui` to update it.


from PyQt5 import QtCore, QtWidgets


[docs] class Ui_Form(object):
[docs] def setupUi(self, Form): Form.setObjectName("Form") sizePolicy = QtWidgets.QSizePolicy( QtWidgets.QSizePolicy.Ignored, QtWidgets.QSizePolicy.Ignored ) sizePolicy.setHorizontalStretch(0) sizePolicy.setVerticalStretch(0) sizePolicy.setHeightForWidth(Form.sizePolicy().hasHeightForWidth()) Form.setSizePolicy(sizePolicy) self.verticalLayout = QtWidgets.QVBoxLayout(Form) self.verticalLayout.setObjectName("verticalLayout") self.formGroupBox = QtWidgets.QGroupBox(Form) self.formGroupBox.setObjectName("formGroupBox") self.formLayout = QtWidgets.QFormLayout(self.formGroupBox) self.formLayout.setFieldGrowthPolicy( QtWidgets.QFormLayout.AllNonFixedFieldsGrow ) self.formLayout.setObjectName("formLayout") self.alphaLabel = QtWidgets.QLabel(self.formGroupBox) self.alphaLabel.setObjectName("alphaLabel") self.formLayout.setWidget(0, QtWidgets.QFormLayout.LabelRole, self.alphaLabel) self.minalpha_spin = QtWidgets.QDoubleSpinBox(self.formGroupBox) self.minalpha_spin.setDecimals(20) self.minalpha_spin.setMaximum(999999999.0) self.minalpha_spin.setObjectName("minalpha_spin") self.formLayout.setWidget( 0, QtWidgets.QFormLayout.FieldRole, self.minalpha_spin ) self.maxalpha_label = QtWidgets.QLabel(self.formGroupBox) self.maxalpha_label.setObjectName("maxalpha_label") self.formLayout.setWidget( 1, QtWidgets.QFormLayout.LabelRole, self.maxalpha_label ) self.maxalpha_spin = QtWidgets.QDoubleSpinBox(self.formGroupBox) self.maxalpha_spin.setDecimals(20) self.maxalpha_spin.setMaximum(999999999.0) self.maxalpha_spin.setObjectName("maxalpha_spin") self.formLayout.setWidget( 1, QtWidgets.QFormLayout.FieldRole, self.maxalpha_spin ) self.nalpha_label = QtWidgets.QLabel(self.formGroupBox) self.nalpha_label.setToolTip("") self.nalpha_label.setObjectName("nalpha_label") self.formLayout.setWidget(2, QtWidgets.QFormLayout.LabelRole, self.nalpha_label) self.nalpha_spin = QtWidgets.QSpinBox(self.formGroupBox) self.nalpha_spin.setToolTip("") self.nalpha_spin.setMaximum(999999999) self.nalpha_spin.setObjectName("nalpha_spin") self.formLayout.setWidget(2, QtWidgets.QFormLayout.FieldRole, self.nalpha_spin) self.max_iterLabel = QtWidgets.QLabel(self.formGroupBox) self.max_iterLabel.setObjectName("max_iterLabel") self.formLayout.setWidget( 3, QtWidgets.QFormLayout.LabelRole, self.max_iterLabel ) self.max_iterLineEdit = QtWidgets.QLineEdit(self.formGroupBox) self.max_iterLineEdit.setObjectName("max_iterLineEdit") self.formLayout.setWidget( 3, QtWidgets.QFormLayout.FieldRole, self.max_iterLineEdit ) self.fit_interceptLabel = QtWidgets.QLabel(self.formGroupBox) self.fit_interceptLabel.setObjectName("fit_interceptLabel") self.formLayout.setWidget( 4, QtWidgets.QFormLayout.LabelRole, self.fit_interceptLabel ) self.fit_intercept_list = QtWidgets.QListWidget(self.formGroupBox) self.fit_intercept_list.setMaximumSize(QtCore.QSize(16777215, 50)) self.fit_intercept_list.setSelectionMode( QtWidgets.QAbstractItemView.MultiSelection ) self.fit_intercept_list.setObjectName("fit_intercept_list") item = QtWidgets.QListWidgetItem() self.fit_intercept_list.addItem(item) item = QtWidgets.QListWidgetItem() self.fit_intercept_list.addItem(item) self.formLayout.setWidget( 4, QtWidgets.QFormLayout.FieldRole, self.fit_intercept_list ) self.normalizeLabel = QtWidgets.QLabel(self.formGroupBox) self.normalizeLabel.setObjectName("normalizeLabel") self.formLayout.setWidget( 5, QtWidgets.QFormLayout.LabelRole, self.normalizeLabel ) self.normalize_list = QtWidgets.QListWidget(self.formGroupBox) self.normalize_list.setMaximumSize(QtCore.QSize(16777215, 50)) self.normalize_list.setSelectionMode(QtWidgets.QAbstractItemView.MultiSelection) self.normalize_list.setObjectName("normalize_list") item = QtWidgets.QListWidgetItem() self.normalize_list.addItem(item) item = QtWidgets.QListWidgetItem() self.normalize_list.addItem(item) self.formLayout.setWidget( 5, QtWidgets.QFormLayout.FieldRole, self.normalize_list ) self.force_positive_list = QtWidgets.QListWidget(self.formGroupBox) self.force_positive_list.setSelectionMode( QtWidgets.QAbstractItemView.MultiSelection ) self.force_positive_list.setObjectName("force_positive_list") item = QtWidgets.QListWidgetItem() self.force_positive_list.addItem(item) item = QtWidgets.QListWidgetItem() self.force_positive_list.addItem(item) self.formLayout.setWidget( 6, QtWidgets.QFormLayout.FieldRole, self.force_positive_list ) self.force_positive_label = QtWidgets.QLabel(self.formGroupBox) self.force_positive_label.setObjectName("force_positive_label") self.formLayout.setWidget( 6, QtWidgets.QFormLayout.LabelRole, self.force_positive_label ) self.verticalLayout.addWidget(self.formGroupBox) self.retranslateUi(Form) QtCore.QMetaObject.connectSlotsByName(Form)
[docs] def retranslateUi(self, Form): _translate = QtCore.QCoreApplication.translate Form.setWindowTitle(("Form")) self.formGroupBox.setToolTip( ( "<html><head/><body><p>Least-angle regression (LARS) is a " "regression algorithm for high-dimensional data, developed by " "Bradley Efron, Trevor Hastie, Iain Johnstone and Robert " "Tibshirani. LARS is similar to forward stepwise regression. " "At " "each step, it finds the predictor most correlated with the " "response. When there are multiple predictors having equal " "correlation, instead of continuing along the same predictor, " "it proceeds in a direction equiangular between the " 'predictors.</p><p><span style=" font-weight:600;">The ' "advantages of LARS are:</span></p><p>It is numerically " "efficient in contexts where p &gt;&gt; n (i.e., when the " "number " "of dimensions is significantly greater than the number of " "points)</p><p>It is computationally just as fast as forward " "selection and has the same order of complexity as an " "ordinary " "least squares.</p><p>It produces a full piecewise linear " "solution path, which is useful in cross-validation or " "similar " "attempts to tune the model.</p><p>If two variables are " "almost " "equally correlated with the response, then their " "coefficients " "should increase at approximately the same rate. The " "algorithm " "thus behaves as intuition would expect, and also is more " "stable.</p><p>It is easily modified to produce solutions for " 'other estimators, like the Lasso.</p><p><span style=" ' 'font-weight:600;">The disadvantages of the LARS method ' "include:</span></p><p>Because LARS is based upon an " "iterative " "refitting of the residuals, it would appear to be especially " "sensitive to the effects of noise. This problem is " "discussed in " "detail by Weisberg in the discussion section of the Efron et " "al. (2004) Annals of Statistics article.</p></body></html>" ) ) self.alphaLabel.setText(("Min Alpha")) self.maxalpha_label.setText(("Max Alpha")) self.nalpha_label.setText(("# of Alphas")) self.max_iterLabel.setText(("Max # of iterations")) self.fit_interceptLabel.setText(("Fit Intercept")) __sortingEnabled = self.fit_intercept_list.isSortingEnabled() self.fit_intercept_list.setSortingEnabled(False) item = self.fit_intercept_list.item(0) item.setText(("True")) item = self.fit_intercept_list.item(1) item.setText(("False")) self.fit_intercept_list.setSortingEnabled(__sortingEnabled) self.normalizeLabel.setText(("Normalize")) __sortingEnabled = self.normalize_list.isSortingEnabled() self.normalize_list.setSortingEnabled(False) item = self.normalize_list.item(0) item.setText(("True")) item = self.normalize_list.item(1) item.setText(("False")) self.normalize_list.setSortingEnabled(__sortingEnabled) __sortingEnabled = self.force_positive_list.isSortingEnabled() self.force_positive_list.setSortingEnabled(False) item = self.force_positive_list.item(0) item.setText(("True")) item = self.force_positive_list.item(1) item.setText(("False")) self.force_positive_list.setSortingEnabled(__sortingEnabled) self.force_positive_label.setText(("Force Positive"))
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_())