Bunch#
- classsklearn.utils.Bunch(**kwargs)[source]#
Container object exposing keys as attributes.
Bunch objects are sometimes used as an output for functions and methods.They extend dictionaries by enabling values to be accessed by key,
bunch["value_key"], or by an attribute,bunch.value_key.Examples
>>>fromsklearn.utilsimportBunch>>>b=Bunch(a=1,b=2)>>>b['b']2>>>b.b2>>>b.a=3>>>b['a']3>>>b.c=6>>>b['c']6
- clear()→None. RemoveallitemsfromD.#
- copy()→ashallowcopyofD#
- fromkeys(iterable,value=None,/)#
Create a new dictionary with keys from iterable and values set to value.
- get(key,default=None,/)#
Return the value for key if key is in the dictionary, else default.
- items()→aset-likeobjectprovidingaviewonD'sitems#
- keys()→aset-likeobjectprovidingaviewonD'skeys#
- pop(key,default=<unrepresentable>,/)#
If the key is not found, return the default if given; otherwise,raise a KeyError.
- popitem(/)#
Remove and return a (key, value) pair as a 2-tuple.
Pairs are returned in LIFO (last-in, first-out) order.Raises KeyError if the dict is empty.
- setdefault(key,default=None,/)#
Insert key with a value of default if key is not in the dictionary.
Return the value for key if key is in the dictionary, else default.
- update([E,]**F)→None. UpdateDfromdict/iterableEandF.#
If E is present and has a .keys() method, then does: for k in E: D[k] = E[k]If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = vIn either case, this is followed by: for k in F: D[k] = F[k]
- values()→anobjectprovidingaviewonD'svalues#
Gallery examples#
Principal Component Analysis (PCA) on Iris Dataset