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This repository was archived by the owner on Sep 11, 2023. It is now read-only.
Frank Noe edited this page Apr 16, 2016
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Object storage
What? Implement a method to easily save/load PyEMMA high-level objects to/from disk.
Why? To facilitate interactive or scripted analysis in with large datasets. Pickling is not well-defined because it's a priori not defined which attributes are data belonging to an object, and which are just links to other resources.
Estimators
Estimation parameters get_params() and set_params(): Input parameters used to construct the estimator object.
Estimation state get_state() and set_state(): State variables set by estimation. This includes estimates that connect data and model, such as convergence information.
Models
Can be mixed in to estimator or standalone.
Model parameters get_model_params() and set_model_params(): Estimated or set parameters of the model.