Comments (3)
These tasks make the assumption that the validation and training sets are identical -- not just that they have the same cardinality. This is because there's no way to average together the probabilities of disjoint sets of samples. We probably want to disable these tasks when doing cross validation. However, the test_probs
and test_predict
methods should still work since cross validation doesn't affect the test set.
from raster-vision.
We still need a way to compute thresholds for the ensemble. Maybe we can average together the thresholds of the original model, or just use the train/validation split from one of the models.
from raster-vision.
This issue is no longer applicable to the current and future versions of Raster Vision.
from raster-vision.
Related Issues (20)
- Support reading temporal data (i.e. time-series of multiple images of the same scene)
- Can't use a geojson as AOI in a SemanticSegmentationRandomWindowGeoDataset HOT 3
- ARM64 build currently broken HOT 1
- Unable to install RasterVision HOT 3
- Issues with using model bundle for prediction HOT 15
- Cannot import ClassConfig on Kaggle HOT 16
- Cannot save prediction using colors from ClassConfig HOT 4
- Improve unit test coverage of CLI and `Runner`s
- Cannot plot batch with ObjectDetectionVisualizer HOT 4
- Multi-temporal raster source visualizer fails when batch size is 1 HOT 2
- Make it possible to exclude "null" class labels from the computation of metrics HOT 3
- RuntimeError: expected scalar type Long but found Int HOT 10
- Allow user to specify AOI box filtering behavior in sliding window datasets HOT 1
- self._hds cannot be converted to a Python object for pickling HOT 2
- Semantic Segmentation Labels not initializing properly from predictions when extent provided HOT 2
- use my trained modle to prediction ,has wrong happened HOT 2
- RuntimeError: The size of tensor a (82) must match the size of tensor b (64) at non-singleton dimension 3 HOT 4
- Migrate to `pydantic` v2
- MPL notice for use of everett library and LGPL for triangle
- v0.30 release checklist
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from raster-vision.