1672b5a9a47b081aa3e61c9f2ca76fae26ed8730,cheml/wrappers/cheml_cml/cheml_wrapper.py,DistanceMatrix,fit,#DistanceMatrix#,221

Before Change

    def fit(self):
        from cheml.chem import DistanceMatrix
        // check inputs
        if isinstance(self.legal_inputs["df"], type(None)):
            msg = "@Task //%i(%s): input data frame is required"%(self.iblock,self.SuperFunction)
            raise IOError(msg)
        try:
            model = DistanceMatrix(**self.parameters)
        except Exception as err:
            msg = "@Task //%i(%s): " % (self.iblock + 1, self.SuperFunction) + type(err).__name__ + ": " + err.message

After Change

                raise NameError(msg)
            elif token == "df":
                ar = self.inputs["df"].value
                df = pd.DataFrame(model.transform(ar))
                self.set_value(token, df)
                self.outputs[token].count = order.count(token)
                self.Base.send[(self.iblock, token)] = self.outputs[token]
        del self.inputs

Instances