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Cascading can be implemented in terms of chaining by having the methods return the target object (receiver, this, self).However, this requires that the method be implemented this way already – or the original object be wrapped in another object that does this – and that the method not return some other, potentially useful value (or nothing if that would be more appropriate, as in setters).
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".
Method cascading; Constructor (object-oriented programming) Copy constructor (C++) Covariant return type; D. Default constructor; Destructor (computer programming)
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.
The term "fluent interface" was coined in late 2005, though this overall style of interface dates to the invention of method cascading in Smalltalk in the 1970s, and numerous examples in the 1980s. A common example is the iostream library in C++ , which uses the << or >> operators for the message passing, sending multiple data to the same ...
It is the largest Wikipedia written in any Slavic language, surpassing its nearest rival, the Polish Wikipedia, by 20% in terms of the number of articles and fivefold by the parameter of depth. [4] In addition, the Russian Wikipedia is the largest Wikipedia written in Cyrillic [5] or in a script other than the Latin script. In April 2016, the ...
Cascading is a software abstraction layer for Apache Hadoop and Apache Flink. Cascading is used to create and execute complex data processing workflows on a Hadoop cluster using any JVM -based language ( Java , JRuby , Clojure , etc.), hiding the underlying complexity of MapReduce jobs.
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