Package parsimony :: Package functions :: Package multiblock :: Module properties :: Class MultiblockProximalOperator

Class MultiblockProximalOperator

object --+
         |
        MultiblockProximalOperator

Known Subclasses:

losses.CombinedMultiblockFunction

Nested Classes

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__metaclass__
Metaclass for defining Abstract Base Classes (ABCs).

Instance Methods

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prox(self, w, index, factor=1.0, eps=5e-08, max_iter=100)
A proximal operator of the non-differentiable part of the function with the given index.

source code

Inherited from object: __delattr__, __format__, __getattribute__, __hash__, __init__, __new__, __reduce__, __reduce_ex__, __repr__, __setattr__, __sizeof__, __str__, __subclasshook__

Class Variables

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__abstractmethods__ = frozenset(['prox'])

_abc_cache = <_weakrefset.WeakSet object at 0x318a750>

_abc_negative_cache = <_weakrefset.WeakSet object at 0x318a7d0>

_abc_negative_cache_version = 10

_abc_registry = <_weakrefset.WeakSet object at 0x318a690>

Properties

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Inherited from object: __class__

Method Details

[hide private]

prox(self, w, index, factor=1.0, eps=5e-08, max_iter=100)

source code

A proximal operator of the non-differentiable part of the function
with the given index.

Parameters
----------
w : List of numpy arrays. The weight vectors.

index : Non-negative integer. Which variable the step is for.

factor : Positive float. A factor by which the Lagrange multiplier is
        scaled. This is usually the step size.

Decorators:

@abc.abstractmethod