Did I find the right examples for you? yes no Crawl my project Python Jobs
All Samples(11) | Call(11) | Derive(0) | Import(0)
src/o/r/orange3-HEAD/Orange/widgets/visualize/owmosaic.py orange3(Download)
def setSubsetData(self, data): if not self.data: self.unprocessedSubsetData = data self.warning(10) else: try: self.subsetData = data.select(self.data.domain) self.warning(10)
except: self.subsetData = None self.warning(10, data and "'Examples' and 'Example Subset' data do not have compatible domains. Unable to draw 'Example Subset' data." or "")
if len(data) == 0: self.warning(5, "There are no examples with valid values for currently visualized attributes. Unable to visualize.") return else: self.warning(5)
src/o/r/orange3-HEAD/Orange/widgets/data/owfile.py orange3(Download)
def open_file(self, fn): self.error() self.warning() self.information()
data = Table(fn) self.loaded_file = fn self.warning(0, errValue) except: self.error(errValue)
src/o/r/orange3-HEAD/Orange/widgets/data/owrank.py orange3(Download)
measures = self.measures # Invalidate all warnings self.warning(range(max(len(self.discMeasures), len(self.contMeasures))))
s = float(estimator(attr, data)) except Exception as ex: self.warning(index, "Error evaluating %r: %r" % (meas.name, str(ex))) attr_scores.append(s)
src/o/r/orange3-HEAD/Orange/widgets/evaluate/owpredictions.py orange3(Download)
for p in self.predictors.values()]) if len(target_vars) > 1: self.warning(0, "Inconsistent class variables") else: self.warning(0)