Home | Trees | Indices | Help |
---|
|
object --+ | Continuation
|
|||
__metaclass__ Metaclass for defining Abstract Base Classes (ABCs). |
|
|||
|
|||
|
|||
|
|||
|
|||
Inherited from |
|
|||
__abstractmethods__ =
|
|||
_abc_cache = <_weakrefset.WeakSet object at 0x30d80d0>
|
|||
_abc_negative_cache = <_weakrefset.WeakSet object at 0x30d8150>
|
|||
_abc_negative_cache_version = 10
|
|||
_abc_registry = <_weakrefset.WeakSet object at 0x30b1fd0>
|
|
|||
Inherited from |
|
The optimal value of mu given epsilon. Parameters ---------- eps : Positive float. The desired precision. Returns ------- mu : Positive float. The optimal regularisation parameter.
|
The optimal value of epsilon given mu. Parameters ---------- mu : Positive float. The regularisation constant of the smoothing. Returns ------- eps : Positive float. The optimal precision.
|
The maximum value of epsilon. Parameters ---------- mu : Positive float. The regularisation constant of the smoothing. Returns ------- eps : Positive float. The upper limit, the maximum, precision.
|
The maximum value of mu. Parameters ---------- eps : Positive float. The maximum precision of the smoothing. Returns ------- mu : Positive float. The upper limit, the maximum, of the regularisation constant of the smoothing.
|
|
__abstractmethods__
|
Home | Trees | Indices | Help |
---|
Generated by Epydoc 3.0.1 on Mon Apr 6 23:52:11 2015 | http://epydoc.sourceforge.net |