Variable sample rate and inference rate #412
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seiya.tsukamoto bandpass fixed Delete projects/train/train/kernel_sampler.py removed_plot Delete projects/train/train/data/supervised/multimodal_multiband_plot.py Add ml4gw generation params Add multimodal functionality Switch to amplfi-style prior for training Fix class paths and update ml4gw dep Re-organize data flow to get multimodal export and inference working Add option for constraints on prior Return only N sampled parameters Restore accidentally-deleted snapshotter.py Clean up after rebase Clean up leftover pieces fixed data init file removed allowed offset fixed val loader
removed multiband callbacks
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Contributor
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@seiyatsukamoto What was the resampling/overlap configuration you trained your model with? |
Author
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The train.yaml: |
Contributor
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Got it. And can you link the W&B page for the training you did? |
Author
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https://api.wandb.ai/links/seiya-tsukamoto-ligo/p5yxxj4h Here's the link to the report. I don't think im on the wandb team so I can direct link the run. |
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Bandpass model that has variable resampling, kernel length, and inference rate.