def send_output(self): if self.data is not None: relation_ = None if isinstance(self.data, Relation): relation_ = Relation(self.data.relation) if self.row_type: relation_.relation.row_type = fusion.ObjectType( self.row_type) if self.col_type: relation_.relation.col_type = fusion.ObjectType( self.col_type) else: relation_ = Relation.create( self.data.X, fusion.ObjectType(self.row_type or "Unknown"), fusion.ObjectType(self.col_type or "Unknown")) oos_mask = hide_data(relation_, self.percent / 100, SampleBy.all[self.method]) def _mask_relation(relation, mask): if np.ma.is_masked(relation.data): mask = np.logical_or(mask, relation.data.mask) data = copy.copy(relation) data.data = np.ma.array(data.data, mask=mask) return data oos_mask = _mask_relation(relation_.relation, oos_mask) self.send(Output.IN_SAMPLE_DATA, Relation(oos_mask)) self.send(Output.OUT_OF_SAMPLE_DATA, Relation(oos_mask))
def send_output(self): if self.data is not None: relation_ = None if isinstance(self.data, Relation): relation_ = Relation(self.data.relation) if self.row_type: relation_.relation.row_type = fusion.ObjectType(self.row_type) if self.col_type: relation_.relation.col_type = fusion.ObjectType(self.col_type) else: relation_ = Relation.create(self.data.X, fusion.ObjectType(self.row_type or "Unknown"), fusion.ObjectType(self.col_type or "Unknown")) oos_mask = hide_data(relation_, self.percent / 100, SampleBy.all[self.method]) def _mask_relation(relation, mask): if np.ma.is_masked(relation.data): mask = np.logical_or(mask, relation.data.mask) data = copy.copy(relation) data.data = np.ma.array(data.data, mask=mask) return data oos_mask = _mask_relation(relation_.relation, oos_mask) self.Outputs.in_sample_data.send(Relation(oos_mask)) self.Outputs.out_of_sample_data.send(Relation(oos_mask))
def commit(self, item=None): self.fuser = MeanFuser(self.mean_by) self.Outputs.fuser.send(self.fuser) rows = [i.row() for i in self.table.selectionModel().selectedRows()] if self.model.rowCount() and rows: relation = self.model[rows[0]][0] data = Relation.create(self.fuser.complete(relation), relation.row_type, relation.col_type, self.graph) else: data = None self.Outputs.relation.send(data)
def commit(self, item=None): self.fuser = MeanFuser(self.mean_by) self.send(Output.FUSER, self.fuser) rows = [i.row() for i in self.table.selectionModel().selectedRows()] if self.model.rowCount() and rows: relation = self.model[rows[0]][0] data = Relation.create(self.fuser.complete(relation), relation.row_type, relation.col_type, self.graph) else: data = None self.send(Output.RELATION, data)
def commit(self, item=None): self.fuser = MeanFuser(self.mean_by) self.send(Output.FUSER, self.fuser) selection = self.table.selectedRanges() if self.table.rowCount() and selection: relation = self.table.rowData(selection[0].topRow()) data = Relation.create(self.fuser.complete(relation), relation.row_type, relation.col_type, self.graph) else: data = None self.send(Output.RELATION, data)
def commit(self, item): data = Relation.create(*item.tableWidget().rowData(item.row()), graph=self.fuser) if item else None self.send(Output.RELATION, data)
def commit(self, item): data = item.data(QtCore.Qt.UserRole) self.send(Output.RELATION, Relation.create(*data, graph=self.fuser))
def commit(self, item): data = Relation.create(*item, graph=self.fuser) if item else None self.Outputs.relation.send(data)
def commit(self, item): data = Relation.create(*item, graph=self.fuser) if item else None self.send(Output.RELATION, data)