本文整理汇总了Python中sklearn.svm.LinearSVC.get_params方法的典型用法代码示例。如果您正苦于以下问题：Python LinearSVC.get_params方法的具体用法？Python LinearSVC.get_params怎么用？Python LinearSVC.get_params使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类sklearn.svm.LinearSVC的用法示例。
在下文中一共展示了LinearSVC.get_params方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: SVR
# 需要导入模块: from sklearn.svm import LinearSVC [as 别名]
# 或者: from sklearn.svm.LinearSVC import get_params [as 别名]
print ''
svr = SVR()
print 'SVR config:'
print svr.get_params()
svr.fit(smr_train.feature_matrix, smr_train.labels)
svr_score_train = svr.score(smr_train.feature_matrix, smr_train.labels)
print 'SVR precision train: {}'.format(svr_score_train)
svr_score_test = svr.score(smr_test.feature_matrix, smr_test.labels)
print 'SVR precision test: {}'.format(svr_score_test)
# plot_learning_curve(svr, 'SVR Curve', smr_train.feature_matrix, smr_train.labels, n_jobs=4)
print ''
lsvc = LinearSVC()
print 'LinearSVC config:'
print lsvc.get_params()
lsvc.fit(smr_train.feature_matrix, smr_train.labels)
lsvc_score_train = lsvc.score(smr_train.feature_matrix, smr_train.labels)
print 'LinearSVC precision train: {}'.format(lsvc_score_train)
lsvc_score_test = lsvc.score(smr_test.feature_matrix, smr_test.labels)
print 'LinearSVC precision test: {}'.format(lsvc_score_test)
print ''
lsvr = LinearSVR()
print 'LinearSVR config:'
print svc.get_params()
lsvr.fit(smr_train.feature_matrix, smr_train.labels)
lsvr_score_train = svc.score(smr_train.feature_matrix, smr_train.labels)
print 'LinearSVR precision train: {}'.format(lsvr_score_train)
lsvr_score_test = lsvr.score(smr_test.feature_matrix, smr_test.labels)
print 'LinearSVR precision test: {}'.format(lsvr_score_test)