本文整理汇总了Python中sklearn.neural_network.BernoulliRBM.predict方法的典型用法代码示例。如果您正苦于以下问题:Python BernoulliRBM.predict方法的具体用法?Python BernoulliRBM.predict怎么用?Python BernoulliRBM.predict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.neural_network.BernoulliRBM
的用法示例。
在下文中一共展示了BernoulliRBM.predict方法的2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: Bernoulli
# 需要导入模块: from sklearn.neural_network import BernoulliRBM [as 别名]
# 或者: from sklearn.neural_network.BernoulliRBM import predict [as 别名]
def Bernoulli(X_train, X_test, y_train, y_test):
mod = BernoulliRBM(random_state=0, verbose=True)
mod.fit(X_train, y_train)
print "Done training"
bernoulli_labels = mod.predict(X_test)
print "Done testing"
bernoulli_score = mod.score(X_test, y_test)
return bernoulli_score, bernoulli_labels
示例2: nn_model
# 需要导入模块: from sklearn.neural_network import BernoulliRBM [as 别名]
# 或者: from sklearn.neural_network.BernoulliRBM import predict [as 别名]
def nn_model(train_x,train_y,test_x):
clf = BernoulliRBM()
clf.fit(train_x,train_y)
test_y = clf.predict(test_x)
return test_y