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Datasets represent various types of observations. Here, we can import these from tabular data formats and label/group them. For now, we assume that datasets fit into memory, but ideally we should have a path towards storing them on disk, especially if we add support for things like binarisation workflows and pre-processing later.
The text was updated successfully, but these errors were encountered:
Dataset removal and some other issues were fixed by #38. There is currently a bug in the dataset loading that we should address - when closing the dataset dialogue (instead of confirmation), it breaks the application state.
The dataset tab was largely refactored in PRs up to #53. The UI now supports more options for dataset editing, bugs were fixed, and the backend was refactored.
Datasets represent various types of observations. Here, we can import these from tabular data formats and label/group them. For now, we assume that datasets fit into memory, but ideally we should have a path towards storing them on disk, especially if we add support for things like binarisation workflows and pre-processing later.
The text was updated successfully, but these errors were encountered: