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The one with super has greater flexibility. In general, the super keyword can be used to call overridden methods, access hidden fields or invoke a superclasss constructor. I suspect it could be related to compatibility issues between scikit-learn and xgboost or python version. When creating a simple object hierarchy in python, id like to be able to invoke methods of the parent class from a derived class. This occurs when i invoke the fit method on the randomizedsearchcv object. I would not recommend using it with classes using linear inheritance, where its just useless overhead. · how to call super constructor in lombok asked 10 years, modified 1 year, viewed 339k times · super() lets you avoid referring to the base class explicitly, which can be nice. · super object has no attribute sklearn_tags. The second () says that its some type which is a subclass of e. But the main advantage comes with multiple inheritance, where all sorts of fun stuff can happen. · the one without super hard-codes its parents method - thus is has restricted the behavior of its method, and subclasses cannot inject functionality in the call chain. The call chain for the methods … As for chaining super::super, as i mentionned in the question, i have still to find an interesting use to that. In fact, multiple inheritance is the only case where super() is of any use. · the first () says that its some type which is an ancestor (superclass) of e; In the child template, i would like to include everything that was in the head block from the base (by calling {{ super()) }} and include some additional things, yet at the same time replace the title block within the super call. In perl and java, there is a keyword for this (super). For now, i only see it as a hack, but it was worth mentioning, if only for the differences with java (where you cant chain super). (in both cases e itself is okay. ) so the constructor uses the ? · super() is a special use of the super keyword where you call a parameterless parent constructor. I am using python 3. 12, and both scikit-learn and xgboost are installed with their latest versions. Extends e form so it guarantees that when it fetches values from the collection, they will all be e or some subclass (i. e.