sklearn.utils.Memory

Warning

DEPRECATED

class sklearn.utils.Memory(*args, **kwargs)

Attributes:

cachedir

Methods

cache(self[, func, ignore, verbose, mmap_mode])	Decorates the given function func to only compute its return value for input arguments not cached on disk.
clear(self[, warn])	Erase the complete cache directory.
eval(self, func, \*args, \*\*kwargs)	Eval function func with arguments *args and **kwargs, in the context of the memory.
format(self, obj[, indent])	Return the formatted representation of the object.
reduce_size(self)	Remove cache elements to make cache size fit in bytes_limit.

debug
warn

__init__(*args, **kwargs)

DEPRECATED: deprecated in version 0.20.1 to be removed in version 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib.

cache(self, func=None, ignore=None, verbose=None, mmap_mode=False)

Decorates the given function func to only compute its return value for input arguments not cached on disk.

Parameters:

func: callable, optional

The function to be decorated

ignore: list of strings

A list of arguments name to ignore in the hashing

verbose: integer, optional

The verbosity mode of the function. By default that of the memory object is used.

mmap_mode: {None, ‘r+’, ‘r’, ‘w+’, ‘c’}, optional

The memmapping mode used when loading from cache numpy arrays. See numpy.load for the meaning of the arguments. By default that of the memory object is used.

Returns:

decorated_func: MemorizedFunc object

The returned object is a MemorizedFunc object, that is callable (behaves like a function), but offers extra methods for cache lookup and management. See the documentation for joblib.memory.MemorizedFunc.

clear(self, warn=True)

Erase the complete cache directory.

eval(self, func, *args, **kwargs)

Eval function func with arguments *args and **kwargs, in the context of the memory.

This method works similarly to the builtin apply, except that the function is called only if the cache is not up to date.

format(self, obj, indent=0)

Return the formatted representation of the object.

reduce_size(self)

Remove cache elements to make cache size fit in bytes_limit.