neuroglia.trace.EdgeDetector(falling=False)[source]¶Detect rising or falling edges in a trace
This transformer detects edges in a trace, where the value of an observation is higher (by default) or lower (if falling=True) than the prior observation.
| Parameters: | falling (boolean, optional (False by default)) – Setting this parameter to True will detect falling edges |
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Notes
This estimator is stateless (besides constructor parameters), the fit method does nothing but is useful when used in a pipeline.
Methods
__init__([falling]) |
x.__init__(…) initializes x; see help(type(x)) for signature |
fit(X[, y]) |
Do nothing and return the estimator unchanged |
fit_transform(X[, y]) |
Fit to data, then transform it. |
get_params([deep]) |
Get parameters for this estimator. |
set_params(**params) |
Set the parameters of this estimator. |
transform(X) |
Detect Edges in each trace |