Package mvpa :: Package clfs :: Package libsvmc :: Module _svm :: Class SVMParameter

[hide private]
[frames] | no frames]

# Class SVMParameter

source code

SVMParameter class safe to be deepcopied.

Nested Classes | [hide private]

| _SVMCParameter Internal class to to avoid memory leaks returning away svmc's params

Instance Methods | [hide private]

__init__(self, **kw) x.__init__(...) initializes x; see help(type(x)) for signature | source code

untrain(self) | source code

__repr__(self) repr(x) | source code

__str__(self) str(x) | source code

__copy__(self) | source code

__deepcopy__(self, memo) | source code

_clear_svmc_params(self) | source code

param(self) | source code

__del__(self) | source code

_setParameter(self, key, value) Not exactly proper one -- if lists are svmc_recompute, would fail anyways | source code

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

Class Methods | [hide private]

_register_properties(cls) | source code

Class Variables | [hide private]

| default_parameters = `{'svm_type': C_SVC, 'kernel_type': RBF, '`...``

Properties | [hide private]

Inherited from `object`: `__class__`

Method Details | [hide private]

### __init__(self, **kw)
(Constructor)

source code

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

Overrides: object.__init__
  (inherited documentation)

### __repr__(self)
(Representation operator)

source code

repr(x)

Overrides: object.__repr__
  (inherited documentation)

### __str__(self)
(Informal representation operator)

source code

str(x)

Overrides: object.__str__
  (inherited documentation)

### param(self)

source code

Decorators:
  - `@property`

Class Variable Details | [hide private]

### default_parameters

Value:

      {'svm_type': C_SVC, 'kernel_type': RBF, 'degree': 3, 'gamma': 0, 'coef
      0': 0, 'nu': 0.5, 'cache_size': 100, 'C': 1, 'eps': 1e-3, 'p': 0.1, 's
      hrinking': 1, 'nr_weight': 0, 'weight_label': [], 'weight': [], 'proba
      bility': 0}