mvpa2.clfs.svm.LinearCSVMC¶
- class mvpa2.clfs.svm.LinearCSVMC(C=-1.0, **kwargs)¶
C-SVM classifier using linear kernel.
See documentation of AttributesCollector for more information
Initialize instance of LinearCSVMC
Parameters : kernel :
Kernel object. (Default: None)
enable_ca : None or list of str
Names of the conditional attributes which should be enabled in addition to the default ones
disable_ca : None or list of str
Names of the conditional attributes which should be disabled
tube_epsilon :
Epsilon in epsilon-insensitive loss function of epsilon-SVM regression (SVR). (Default: 0.01)
C :
Trade-off parameter between width of the margin and number of support vectors. Higher C – more rigid margin SVM. In linear kernel, negative values provide automatic scaling of their value according to the norm of the data. (Default: -1.0)
weight :
Custom weights per label. (Default: [])
probability :
Flag to signal either probability estimate is obtained within LIBSVM. (Default: 0)
epsilon :
Tolerance of termination criteria. (For nu-SVM default is 0.001). (Default: 5e-05)
weight_label :
To be used in conjunction with weight for custom per-label weight. (Default: [])
shrinking :
Either shrinking is to be conducted. (Default: 1)
nu :
Fraction of datapoints within the margin. (Default: 0.5)
auto_train : bool
Flag whether the learner will automatically train itself on the input dataset when called untrained.
force_train : bool
Flag whether the learner will enforce training on the input dataset upon every call.
space: str, optional :
Name of the ‘processing space’. The actual meaning of this argument heavily depends on the sub-class implementation. In general, this is a trigger that tells the node to compute and store information about the input data that is “interesting” in the context of the corresponding processing in the output dataset.
postproc : Node instance, optional
Node to perform post-processing of results. This node is applied in __call__() to perform a final processing step on the to be result dataset. If None, nothing is done.
descr : str
Description of the instance
