Comments (1)
Turns out that vak.config.data
already does this.
So error I was getting is simply because ../vak/Output
doesn't exist yet.
One way to avoid this error be to use os.makedirs
if output_dir
doesn't exist, but this would also silently make the wrong directory if user makes a typo and doesn't realize it. Better to just raise error.
However, did liberally apply os.expanduser
in vak.config.predict
and vak.config.train
where it was not already being done
in commits 1617ebf and 54b7989
from vak.
Related Issues (20)
- ENH: Rewrite post-processing transforms to work with tensors
- ENH: Add decorator to register models, in `vak.models`
- TST: Speed up tests with fake data
- ENH: Add DAS models + datasets HOT 2
- ENH: Add UMAP models and datasets HOT 1
- BUG: predict empty file handling HOT 4
- ENH: Add Deepsqueak models and datasets
- TST: Add regression test that catches #634
- DOC: clean up API docs
- DOC: Fix tutorial config files after version 1.0.0 gets out of alpha
- CLN: Ensure learncurve runs in ascending order of training set size HOT 1
- ENH: Run validate at end of prep, not start of train/learncurve, and include as "metadata" in dataset
- ENH: Have prep create a directory with standardized format for each prepared dataset HOT 1
- ENH: Have prep generate learncurve splits ahead of time HOT 2
- ENH: Add ability for prep to create datasets where the source for training samples $x$ is audio HOT 2
- CLN: Clean up WindowDataset, add unit tests
- DEV: Upgrade to pytorch 2.0 (?)
- DEV: Require Python >= 3.9
- ENH/CLN: Refactor API
- BUG: eval crashes for learncurve when labelmap has multi-char label, because eval re-maps the labelmap
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from vak.