0ec2c80b80ddbef7b066510033876f060c1bb32c,Orange/widgets/unsupervised/owmanifoldlearning.py,OWManifoldLearning,apply,#OWManifoldLearning#,290

Before Change

        if have_data and data.is_sparse():
            self.Error.sparse_not_supported()
        elif have_data:
            domain = Domain([ContinuousVariable("C{}".format(i))
                             for i in range(self.n_components)],
                            data.domain.class_vars,
                            data.domain.metas)
            try:
                warnings.warn = _handle_disconnected_graph_warning
                projector = method(**self.get_method_parameters(data, method))
                model = projector(data)

After Change

            names = [var.name for var in chain(data.domain.class_vars,
                                               data.domain.metas) if var]
            proposed = ["C{}".format(i) for i in range(self.n_components)]
            unique = get_unique_names(names, proposed)
            domain = Domain([ContinuousVariable(name) for name in unique],
                            data.domain.class_vars,
                            data.domain.metas)
            try:
                warnings.warn = _handle_disconnected_graph_warning
                projector = method(**self.get_method_parameters(data, method))
                model = projector(data)

Instances