AbstractFeature has a loose interface. Overload (𝑓::AbstractFeature)(x) for different functionality. For compatibility with other TimeseresFeatures types, define:

Helper methods:

• getmethod(𝑓::AbstractFeature)
• `getname(𝑓::AbstractFeature)
• `getkeywords(𝑓::AbstractFeature)
• getdescription(𝑓::AbstractFeature)

𝑓 = Feature([;] method::Function, name=Symbol(method), keywords="", description="")

Construct a Feature, which is a function annotated with a name, keywords and short description. Features can be called as functions while getname(𝑓), getkeywords(𝑓) and getdescription(𝑓) can be used to access the annotations. The function should have at minimum a method for AbstractVector. The method on vectors will be applied column-wise to Matrix inputs, regardless of the function methods defined for Matrix.

Examples

𝑓 = Feature(sum, :sum, ["distribution"], "Sum of time-series values")
𝑓(1:10) # == sum(1:10) == 55
getdescription(𝑓) # "Sum of time-series values"