Bunch (original) (raw)

class sklearn.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

from sklearn.utils import Bunch b = Bunch(a=1, b=2) b['b'] 2 b.b 2 b.a = 3 b['a'] 3 b.c = 6 b['c'] 6

clear() → None. Remove all items from D.#

copy() → a shallow copy of D#

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() → a set-like object providing a view on D's items#

keys() → a set-like object providing a view on D's keys#

pop(key, default=, /)#

If key is not found, default is returned if given, otherwise KeyError is raised

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. Update D from dict/iterable E and F.#

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] = v In either case, this is followed by: for k in F: D[k] = F[k]

values() → an object providing a view on D's values#

Gallery examples#