knn module¶
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class
knn.Knn(config: config.Config)[source]¶ Bases:
object-
__class__¶ alias of
builtins.type
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__delattr__¶ Implement delattr(self, name).
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__dict__= mappingproxy({'__module__': 'knn', '__init__': <function Knn.__init__>, 'calculate_kappa_coefficiente_validation': <function Knn.calculate_kappa_coefficiente_validation>, 'calculate_accuracy_test': <function Knn.calculate_accuracy_test>, '__dict__': <attribute '__dict__' of 'Knn' objects>, '__weakref__': <attribute '__weakref__' of 'Knn' objects>, '__doc__': None})¶
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__dir__()¶ Default dir() implementation.
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__eq__¶ Return self==value.
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__format__()¶ Default object formatter.
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__ge__¶ Return self>=value.
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__getattribute__¶ Return getattr(self, name).
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__gt__¶ Return self>value.
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__hash__¶ Return hash(self).
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__init__(config: config.Config)[source]¶ Constructor.
Parameters: config – Config object where all the hyperparameter values are loaded
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__init_subclass__()¶ This method is called when a class is subclassed.
The default implementation does nothing. It may be overridden to extend subclasses.
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__le__¶ Return self<=value.
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__lt__¶ Return self<value.
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__module__= 'knn'¶
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__ne__¶ Return self!=value.
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__new__()¶ Create and return a new object. See help(type) for accurate signature.
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__reduce__()¶ Helper for pickle.
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__reduce_ex__()¶ Helper for pickle.
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__repr__¶ Return repr(self).
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__setattr__¶ Implement setattr(self, name, value).
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__sizeof__()¶ Size of object in memory, in bytes.
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__str__¶ Return str(self).
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__subclasshook__()¶ Abstract classes can override this to customize issubclass().
This is invoked early on by abc.ABCMeta.__subclasscheck__(). It should return True, False or NotImplemented. If it returns NotImplemented, the normal algorithm is used. Otherwise, it overrides the normal algorithm (and the outcome is cached).
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__weakref__¶ list of weak references to the object (if defined)
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