Did I find the right examples for you? yes no      Crawl my project      Python Jobs

All Samples(43)  |  Call(43)  |  Derive(0)  |  Import(0)

src/o/r/orange3-HEAD/Orange/widgets/data/owdatasampler.py   orange3(Download)
    def sendData(self):
        if not self.data:
            self.send("Data Sample", None)
            self.send("Remaining Data", None)
            return
            self.CVSettings = (stratify, self.numberOfFolds)
 
        self.send("Data Sample", self.data[sample_indices])
        self.send("Remaining Data", self.data[remainder_indices])
 

src/o/r/orange3-HEAD/Orange/widgets/data/owselectattributes.py   orange3(Download)
            self.output_report = self.prepareDataReport(newdata)
            self.output_domain = domain
            self.send("Data", newdata)
            self.send("Features", widget.AttributeList(attributes))
        else:
            self.output_report = []
            self.send("Data", None)
            self.send("Features", None)

src/o/r/orange3-HEAD/Orange/widgets/data/owfile.py   orange3(Download)
                                 .format(basename))
        if fn == "(none)":
            self.send("Data", None)
            self.infoa.setText("No data loaded")
            self.infob.setText("")
 
            self.dataReport = self.prepareDataReport(data)
        self.send("Data", data)
 
    def sendReport(self):

src/o/r/orange3-HEAD/Orange/widgets/data/owrank.py   orange3(Download)
    def apply(self):
        selected = self.selectedAttrs()
        if not self.data or not selected:
            self.send("Reduced Data", None)
        else:
 
            domain = Orange.data.Domain(selected, self.data.domain.class_var,
                                        metas=self.data.domain.metas)
            data = Orange.data.Table(domain, self.data)
            self.send("Reduced Data", data)

src/o/r/orange3-HEAD/Orange/widgets/classify/ownaivebayes.py   orange3(Download)
        learner = Orange.classification.naive_bayes.BayesLearner()
        learner.name = self.learner_name
        self.send("Learner", learner)
        self.send("Classifier", None)
 
            self.apply()
        else:
            self.send("Classifier", None)
 
    def apply(self):
            classifier.name = self.learner_name
 
        self.send("Learner", learner)
        self.send("Classifier", classifier)
 

src/o/r/orange3-HEAD/Orange/widgets/data/owselectdata.py   orange3(Download)
                    nonmatchingOutput = orange.ExampleTable(newDomain, non_matching_output)
            """
        self.send("Matching Data", matching_output)
        self.send("Unmatched Data", non_matching_output)
 

src/o/r/orange3-HEAD/Orange/widgets/data/owcontinuize.py   orange3(Download)
    def setData(self, data):
        self.data = data
        if data is None:
            self.send("Data", None)
        else:
            domain = continuizer(self.data)
            data = Table.from_table(domain, self.data)
            self.send("Data", data)
        else:
            self.sendData("Data", None)

src/o/r/orange3-HEAD/Orange/widgets/visualize/owscatterplot.py   orange3(Download)
    def sendSelections(self):
        (selected, unselected) = self.graph.getSelectionsAsExampleTables([self.attrX, self.attrY])
        self.send("Selected Data", selected)
        self.send("Other Data", unselected)
        print('\nselected data:\n', selected)

src/o/r/orange3-HEAD/Orange/widgets/visualize/owboxplot.py   orange3(Download)
    def reset_all_data(self):
        self.attr_list_box.clear()
        self.attrCombo.clear()
        self.boxScene.clear()
        self.send("Basic statistic", None)
        self.send("Significant data", None)

src/o/r/orange3-HEAD/Orange/widgets/visualize/owmosaic.py   orange3(Download)
    def sendSelectedData(self):
        # send the selected examples
        self.send("Selected Data", self.getSelectedExamples())
 
    # add a new rectangle. update the graph and see which mosaics does it intersect. add this mosaics to the recentlyAdded list

  1 | 2 | 3  Next