def main(): # pragma: no cover
"""Helper for running the widget without Orange."""
logging.basicConfig(level=logging.DEBUG)
signal.signal(signal.SIGINT, signal.SIG_DFL)
app = QtWidgets.QApplication(sys.argv)
indicators_widget = OWWorldBankIndicators()
indicators_widget.show()
app.exec_()
indicators_widget.saveSettings()
def create_coef_table(classifier):
i = classifier.intercept
c = classifier.coefficients
if c.shape[0] > 2:
values = [
classifier.domain.class_var.values[int(i)]
for i in classifier.used_vals[0]
]
else:
values = [
classifier.domain.class_var.values[int(classifier.used_vals[0][1])]
]
domain = Domain(
[ContinuousVariable(value, number_of_decimals=7) for value in values],
metas=[StringVariable("name")])
coefs = np.vstack((i.reshape(1, len(i)), c.T))
names = [[attr.name] for attr in classifier.domain.attributes]
names = [["intercept"]] + names
names = np.array(names, dtype=object)
coef_table = Table.from_numpy(domain, X=coefs, metas=names)
coef_table.name = "coefficients"
return coef_table
if __name__ == "__main__":
app = QtWidgets.QApplication([])
w = OWLogisticRegression()
w.set_data(Table("zoo"))
w.show()
app.exec_()
self.class_treatment = class_treatment
def __call__(self, data):
treat = self.multinomial_treatment
if isinstance(data, Orange.data.Domain):
domain, data = data, None
else:
domain = data.domain
if (treat == Continuize.ReportError
and any(var.is_discrete and len(var.values) > 2
for var in domain)):
raise ValueError("Domain has multinomial attributes")
newdomain = continuize_domain(data or domain,
self.multinomial_treatment,
self.continuous_treatment,
self.class_treatment, self.zero_based)
return newdomain
if __name__ == "__main__":
import sys
a = QtWidgets.QApplication(sys.argv)
ow = OWContinuize()
data = Table("lenses")
ow.setData(data)
ow.show()
a.exec_()
ow.saveSettings()