本文整理汇总了Python中sklearn.naive_bayes.GaussianNB.sigma_方法的典型用法代码示例。如果您正苦于以下问题：Python GaussianNB.sigma_方法的具体用法？Python GaussianNB.sigma_怎么用？Python GaussianNB.sigma_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.naive_bayes.GaussianNB的用法示例。
在下文中一共展示了GaussianNB.sigma_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: naiveBayesClassifier
# 需要导入模块: from sklearn.naive_bayes import GaussianNB [as 别名]
# 或者: from sklearn.naive_bayes.GaussianNB import sigma_ [as 别名]
def naiveBayesClassifier(self,X_train,y_train):
"""Method to train a regularized logistic regression classifier
Parameters
----------
X_train: Array shape [n_samples,n_features] for training the model with features
y_train: Array shape[n_samples] for training the model with features of that target
Returns
---------
model: The trained Logistic Regression model."""
meansArray, varianceArray = self.NBMeanAndVariance(X_train,y_train)
model = GaussianNB()
#fit the model with training data
model.fit(X_train,y_train)
model.theta_ = meansArray
model.sigma_ = varianceArray
return model