Package parsimony :: Package datasets :: Package simulate :: Module grad :: Class SmoothedGroupLasso

Class SmoothedGroupLasso

  object --+        
           |        
    Function --+    
               |    
NesterovFunction --+
                   |
                  SmoothedGroupLasso

Instance Methods

[hide private]

__init__(self, l, A, mu=5e-08)
x.__init__(...) initializes x; see help(type(x)) for signature

source code

grad(self, x)
Gradient of the function

source code

Inherited from NesterovFunction: alpha, project, smoothed_grad

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

Class Variables

[hide private]

Inherited from NesterovFunction: __abstractmethods__, __metaclass__

Inherited from Function (private): _abc_cache, _abc_negative_cache, _abc_negative_cache_version, _abc_registry

Properties

[hide private]

Inherited from object: __class__

Method Details

[hide private]

init(self, l, A, mu=5e-08)
(Constructor)

source code

x.__init__(...) initializes x; see help(type(x)) for signature

Overrides: object.__init__: (inherited documentation)

grad(self, x)

source code

Gradient of the function

    f(x) = GL(mu, x),

where GL(mu, x) is the Nesterov smoothed group lasso function.

Overrides: Function.grad

Class SmoothedGroupLasso

__init__(self, l, A, mu=5e-08) (Constructor)

grad(self, x)

init(self, l, A, mu=5e-08)
(Constructor)