Comments (1)
Would it be possible to fix this some time soon? Adding just one line like
dataset_fn = self.dataset_table.resolve_fn(dataset_fn)
below l. 239 in trained_model.py should be enough as far as I can see. I can also make a pull request out of it if you prefer it that way.
from nnfabrik.
Related Issues (20)
- Discourage saving the model's state dict for pretrained models. HOT 1
- Decouple measure tables (per data_key local identity) and neuron id (global identity) HOT 2
- Minimal example of SinzLab use-case HOT 6
- Extend README/documentation by datatypes HOT 2
- Make Hypersearch module deal with more than one seed
- Add schema creation to the example notebook HOT 1
- Endpoints and keys in datajoint config are allowed to be undefined
- loading a model fails when `include_dataloaders=False` because there is no DataInfo table HOT 5
- Hypersearch does not work with `my_nnfabrik`
- Remove reference to neuralpredictors HOT 2
- Readme not up-to-date
- KeyError in TrainedModel when no data_info_table is defined
- nnfabrik.schema_name deprecated but required without access to nnfabrik_core HOT 2
- Missing exception in try and except block
- recommend mysql settings
- NNFabrik uses PyTorch but doesn't specify it as a requirement
- Not compatible with Python3.10 HOT 1
- not compatible version for "ax", "botorch" and "gpytorch" if just install ax-platform
- Argument to turn off strict model state dict loading checks
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from nnfabrik.