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feat: created static dataset system and demo #117
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feat: created static dataset system and demo #117
Commits on Jul 24, 2024
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feat: created static dataset system and demo
Added a new system class in src/dynadojo/systems for handling static datasets formatted in a numpy three dimensional array of N trajectories, T timesteps, and D dimensions. Added a demo in demos/systems to test this system class
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Commits on Jul 26, 2024
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bug: fit() result dict changed train_losses to train_loss, and val_lo…
…sses to val_loss (DynaDojo#110)
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refactor: experiments params to config (DynaDojo#118)
* changed all params.json and params_file to config.json and config_file * changed all params.json and params_file to config.json and config_file. Made experiments config file and ran experiment. All works * changed last thing from save_params -> save_config --------- Co-authored-by: Caryn Tran <[email protected]>
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feat: add system/lorenz demo (DynaDojo#88)
Resolves DynaDojo#67 Co-authored-by: lmclane23 <[email protected]>
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fix: change split_dataset to perform kmeans clustering on trajectory …
…features now splits data with kmeans clustering on mean, variance, and mean_velocity rather than using kmeans clustering on flattened trajectories.
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Commits on Aug 2, 2024
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fix: adjusted StaticDataSet system to use wavelet transforms to split…
… data Also added argument types to class and adjusted demo
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