neurots.preprocess.preprocessors¶
Functions to modify the given parameters and distributions before running the algorithm.
The functions used as preprocesses should have the signature: check_something(params, distrs).
These functions should be very generic and should not depend on any context in which the related
grower is used.
The preprocesses should be registered to be executed in the preprocess step using the
@register_preprocessor decorator if they are applied per grow_type and growth_method, or with
@register_global_processor if they need the entire data.
Functions
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Fit 3d angle data if enabled. |
- neurots.preprocess.preprocessors.preprocess_3d_angles(params, distrs)¶
Fit 3d angle data if enabled.