本文整理汇总了Python中sklearn.svm.LinearSVC._predict_proba_lr方法的典型用法代码示例。如果您正苦于以下问题：Python LinearSVC._predict_proba_lr方法的具体用法？Python LinearSVC._predict_proba_lr怎么用？Python LinearSVC._predict_proba_lr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._predict_proba_lr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: TruncatedSVD
# 需要导入模块: from sklearn.svm import LinearSVC [as 别名]
# 或者: from sklearn.svm.LinearSVC import _predict_proba_lr [as 别名]
strip_accents='unicode',
norm='l2')
X_train = vectorizer.fit_transform(train_nyt_data)
X_test = vectorizer.transform(test_nyt_data1)
from sklearn.decomposition import TruncatedSVD
svd = TruncatedSVD(n_components = 500)
X_train = svd.fit_transform(X_train)
X_test = svd.transform(X_test)
svm_classifier = LinearSVC(class_weight={1:8.3, 0:10}).fit(X_train, ytrain)
proba = svm_classifier._predict_proba_lr(X_test)
print(proba)
for i in proba:
print(i)
ytest = lb.transform(y_test)
y_svm_predicted = svm_classifier.predict(X_test)
TP0 = 0
TP1 = 0
for i in range(0, len(proba)) :
if ytest[i] == 0 and y_svm_predicted[i] == 0:
TP0 =TP0 +1
if ytest[i] == 1 and y_svm_predicted[i] == 1: