_jgrid_r0.py 文件源码

def _gs_SVC_r0( xM, yVc, params):
    """
    Since classification is considered, we use yVc which includes digital values 
    whereas yV can include float point values.
    """

    print(xM.shape, yVc.shape)

    clf = svm.SVC()
    #parmas = {'alpha': np.logspace(1, -1, 9)}
    kf5 = cross_validation.KFold( xM.shape[0], n_folds=5, shuffle=True)
    gs = grid_search.GridSearchCV( clf, params, cv = kf5, n_jobs = -1)

    gs.fit( xM, yVc)

    return gs