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For example, the "add an object to a collection" method (Collection>>add: anObject) returns the object that was added, not the collection. Thus to use this in a cascade in an assignment statement, the cascade must end with yourself, otherwise the value will just be the last element added, not the collection itself:
Cascading can be implemented using method chaining by having the method return the current object itself. Cascading is a key technique in fluent interfaces , and since chaining is widely implemented in object-oriented languages while cascading isn't, this form of "cascading-by-chaining by returning this " is often referred to simply as "chaining".
Pages in category "Articles with example Python (programming language) code" The following 200 pages are in this category, out of approximately 201 total. This list may not reflect recent changes. (previous page)
Multiple dispatch or multimethods is a feature of some programming languages in which a function or method can be dynamically dispatched based on the run-time (dynamic) type or, in the more general case, some other attribute of more than one of its arguments. [1]
In computer science, function composition is an act or mechanism to combine simple functions to build more complicated ones. Like the usual composition of functions in mathematics, the result of each function is passed as the argument of the next, and the result of the last one is the result of the whole.
Cascading is a particular case of ensemble learning based on the concatenation of several classifiers, using all information collected from the output from a given classifier as additional information for the next classifier in the cascade. Unlike voting or stacking ensembles, which are multiexpert systems, cascading is a multistage one.
A simple framework for cascade training is given below: f = the maximum acceptable false positive rate per layer. d = the minimum acceptable detection rate per layer. Ftarget = target overall false positive rate. P = set of positive examples. N = set of negative examples.
Python's Guido van Rossum summarizes C3 superclass linearization thus: [11] Basically, the idea behind C3 is that if you write down all of the ordering rules imposed by inheritance relationships in a complex class hierarchy, the algorithm will determine a monotonic ordering of the classes that satisfies all of them.