Comments (1)
Instead of "Have learncurve.train_csv
return previous run path in ascending order of training set size", (previous name of issue) we can just do this at the level of the main loop in learncurve
that iterates over a dict where the keys are training set durations. We'll iterate over sorted(keys) to ensure it's the right order.
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Related Issues (20)
- 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
- ENH: Add Params dataclasses for high-level functions
- CLN: Catch audio channels > 1 in prep.frame_classification and raise a clear error
- DOC: Add Yang Carstens Provost 2023 + Koparkar et al 2023 to pubs section of about page HOT 1
- ENH: Add ability to specify function/callable to make spectrogram during prep step
- DEV/ENH: Switch to using tomlkit
- DOC: Better document spectrogram options, e.g. with a how-to + link to API + reference docs
- BUG: Running vak 1.0.0a1 with device set to CPU crashes HOT 6
- Finish Parametric UMAP model + add datasets
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- DOC/CLN: revise/fix API docs for 1.0.0
- Inconsistent syllable error rate between vak eval and predict HOT 15
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