Adding support for openml datasets #429
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yiweny
reviewed
Aug 8, 2024
| self._task_type = ( | ||
| torch_frame.TaskType.MULTICLASS_CLASSIFICATION) | ||
| self._num_classes = int(self.dataset_info["NumberOfClasses"]) | ||
| col_to_stype[target_col] = torch_frame.categorical |
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Can you create a function to convert from openml TaskType to pytorch-frame TaskType and then call the function here?
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I don't think that's a good idea. Because the df here would be used in the constructor of the parent class. Also col_to_stype needs to get done before the constructor. If I am going to use a function to do this part, then df needs to be created as a new member variable.
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There are a large number of datasets available in openml, and this PR adds support for the openml dataset, enabling the integration of openml and torch_frame. The dataset used can be specified using dataset_id.