Comments (4)
jacobsn
commented on August 18, 2024
Addressed by 15afcac
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jacobsn
commented on August 18, 2024
The current method does not give the same train/test split each time it is run. It should probably be setup to work that way.
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jacobsn
commented on August 18, 2024
@weiliansong could you also write a python script to make the folds? Requirements:
- should always output the same folds
- randomly shuffled
- roughly equal sized files
- I have been using 10 folds... so we could stick with that... but it is not essential.
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jacobsn
commented on August 18, 2024
This looks useful: http://scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html
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Related Issues (20)
- Improve generalization to new datasets
- add basic tensorboard summaries HOT 8
- rewrite src/analysis/display_evaluation.m in python HOT 1
- live detection script
- writeup results
- finetune from SoundNet
- integrate species detection
- determine a process for sharing model files
- write test case to verify training and testing sets are disjoint HOT 1
- incorporate dropout? HOT 1
- create visualization scripts HOT 4
- decouple capacity parameter for micro and macro processing HOT 1
- script for evaluation on chernobyl datasets HOT 1
- predict using soundnet features HOT 5
- adjust challenge.py to average predictions across many subwindows HOT 1
- change run name format
- Data augmentation by mixing and matching audio clips HOT 17
- Alternative approach (spectrogram) HOT 5
- handle deprecation of variable initialization methods
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