Comments (1)
train_data_dict
got replaced with train_vds_path
now that VocalizationDataset
is key class/abstraction for working with data
from vak.
Related Issues (20)
- 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
- ENH: Add task-specific dataset prep / classes HOT 2
- ENH: canonicalize dataset preparation (further) such that datasets can always be in-memory / memory mapped
- ENH: Make pre-trained model functionality more flexible, clearer
- ENH: Make it possible to train using WindowDataset with stride option
- ENH: Add `model_path` option to config for eval + predict, use in place of `checkpoint_path`, `spect_scaler`, etc.
- Declare/formalize a model file format
- ENH: Add AVA models and datasets HOT 9
- BUG: vak prep fails for learncurve when train_set_durs and replicates are not in prep section HOT 1
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from vak.