| Multivariate Pattern Analysis in Python

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This content refers to the previous stable release of PyMVPA. Please visit www.pymvpa.org for the most recent version of PyMVPA and its documentation.

# clfs.libsvmc.svmc

## Module: `clfs.libsvmc.svmc`

Inheritance diagram for `mvpa.clfs.libsvmc.svmc`:

## Classes

### `svm_model`

class `mvpa.clfs.libsvmc.svmc.``svm_model`

  Bases: `object`

  `SV`
  `free_sv`
  `l`
  `label`
  `nSV`
  `nr_class`
  `param`
  `probA`
  `probB`
  `rho`
  `sv_coef`

### `svm_parameter`

class `mvpa.clfs.libsvmc.svmc.``svm_parameter`

  Bases: `object`

  `C`
  `cache_size`
  `coef0`
  `degree`
  `eps`
  `gamma`
  `kernel_type`
  `nr_weight`
  `nu`
  `p`
  `probability`
  `shrinking`
  `svm_type`
  `weight`
  `weight_label`

### `svm_problem`

class `mvpa.clfs.libsvmc.svmc.``svm_problem`

  Bases: `object`

  `l`
  `x`
  `y`

## Functions

`mvpa.clfs.libsvmc.svmc.``delete_double`()

`mvpa.clfs.libsvmc.svmc.``delete_int`()

`mvpa.clfs.libsvmc.svmc.``double_getitem`()

`mvpa.clfs.libsvmc.svmc.``double_setitem`()

`mvpa.clfs.libsvmc.svmc.``doubleppcarray2numpy_array`()

`mvpa.clfs.libsvmc.svmc.``int_getitem`()

`mvpa.clfs.libsvmc.svmc.``int_setitem`()

`mvpa.clfs.libsvmc.svmc.``new_double`()

`mvpa.clfs.libsvmc.svmc.``new_int`()

`mvpa.clfs.libsvmc.svmc.``svm_check_parameter`()

`mvpa.clfs.libsvmc.svmc.``svm_check_probability_model`()

`mvpa.clfs.libsvmc.svmc.``svm_cross_validation`()

`mvpa.clfs.libsvmc.svmc.``svm_get_labels`()

`mvpa.clfs.libsvmc.svmc.``svm_get_nr_class`()

`mvpa.clfs.libsvmc.svmc.``svm_get_svm_type`()

`mvpa.clfs.libsvmc.svmc.``svm_get_svr_probability`()

`mvpa.clfs.libsvmc.svmc.``svm_load_model`()

`mvpa.clfs.libsvmc.svmc.``svm_node_array`()

`mvpa.clfs.libsvmc.svmc.``svm_node_array_destroy`()

`mvpa.clfs.libsvmc.svmc.``svm_node_array_set`()

`mvpa.clfs.libsvmc.svmc.``svm_node_matrix`()

`mvpa.clfs.libsvmc.svmc.``svm_node_matrix2numpy_array`()

`mvpa.clfs.libsvmc.svmc.``svm_node_matrix_destroy`()

`mvpa.clfs.libsvmc.svmc.``svm_node_matrix_set`()

`mvpa.clfs.libsvmc.svmc.``svm_predict`()

`mvpa.clfs.libsvmc.svmc.``svm_predict_probability`()

`mvpa.clfs.libsvmc.svmc.``svm_predict_values`()

`mvpa.clfs.libsvmc.svmc.``svm_save_model`()

`mvpa.clfs.libsvmc.svmc.``svm_set_verbosity`()

`mvpa.clfs.libsvmc.svmc.``svm_train`()

### Navigation

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- next |
- previous |
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- PyMVPA 0.4.x Home |
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