feat: created static dataset system and demo #117
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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
* 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 <caryn.tran@berkeley.edu>
Resolves DynaDojo#67 Co-authored-by: lmclane23 <101528096+lmclane23@users.noreply.github.com>
…features now splits data with kmeans clustering on mean, variance, and mean_velocity rather than using kmeans clustering on flattened trajectories.
… data Also added argument types to class and adjusted demo
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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