neurots.preprocess.relevance_checkers

Functions to check that the given parameters and distributions will give relevant results.

The functions used as relevance checkers should have a name like ‘check_*’ and have the following signature: check_something(params, distrs, start_point=None, context=None). The start_point and context parameters should always be optional, as they will not be known during the preprocessing step.

These functions can be called either in validity checkers or inside the grower codes.

Functions

check_min_bar_length(params, distrs[, ...])

Consistency check between parameters - persistence diagram.

neurots.preprocess.relevance_checkers.check_min_bar_length(params, distrs, start_point=None, context=None)

Consistency check between parameters - persistence diagram.