Comments (2)
I think in the future we will move to custom objects rather than using Python dictionaries (which is the plan for Alibi), in which case one would have 2-level attribute access (e.g. both preds.data
returning a dict and preds.instance_score
returning the scores). I've thought about a more general solution using e.g. Bunch
as you suggest, but the main downside would be that numerical indices can't be accessed as attributes which might make the whole thing more confusing.
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@jklaise makes sense. I think it's done that way in FAIR's Detectron too. I will close this
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Related Issues (20)
- Replace anomalous with outlying throughout
- Threshold datatype
- Track Skipped OD tests
- Set meta data on all OD
- Docstrings/Naming for `_to_numpy` method in SKLearn backend
- Return data from od fit methods HOT 3
- TensorFlow dependency for non-TensorFlow component HOT 2
- Check consistent order of arguments in Outlier Detectors
- `gmm` and `svm` set multiple defaults
- Error related to 'scale_identity_multiplier' in tensorflow HOT 3
- Issue: Feature-level p-values are not generated by the Spot-the-diff algorithm HOT 2
- The kddcup isolation forest artefact needs updating with `sklearn 1.3.0` HOT 3
- Add serialisation new outlier detectors
- Return fit data from the Outlier Detectors
- Import `Literal` from `typing` now that 3.7 dropped
- Got an unexpected keyword argument 'scale_identity_multiplier' HOT 1
- Design patterns
- `multichannel` parameter deprecated in `skimage` HOT 1
- Logo in README.md HOT 2
- Support extension for pytorch 2.0 HOT 1
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