本文整理汇总了Python中LogisticRegression.LogisticRegression.test_insample方法的典型用法代码示例。如果您正苦于以下问题：Python LogisticRegression.test_insample方法的具体用法？Python LogisticRegression.test_insample怎么用？Python LogisticRegression.test_insample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LogisticRegression.LogisticRegression的用法示例。
在下文中一共展示了LogisticRegression.test_insample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: GaussianGenerativeModel
# 需要导入模块: from LogisticRegression import LogisticRegression [as 别名]
# 或者: from LogisticRegression.LogisticRegression import test_insample [as 别名]
# Do not change anything below this line!!
# -----------------------------------------------------------------
# Read from file and extract X and Y
df = pd.read_csv("fruit.csv")
X = df[['width', 'height']].values
Y = (df['fruit'] - 1).values
nb1 = GaussianGenerativeModel(isSharedCovariance=False)
nb1.fit(X,Y)
nb1.test_insample()
print "Gaussian model with separate covariance: in-sample error rate %.1f%%" % (nb1.insample_err * 100.0 )
nb1.visualize("generative_result_separate_covariances.png",show_charts=True)
nb2 = GaussianGenerativeModel(isSharedCovariance=True)
nb2.fit(X,Y)
nb2.test_insample()
print "Gaussian model with shared covariance: in-sample error rate %.1f%%" % (nb2.insample_err * 100.0 )
nb2.visualize("generative_result_shared_covariances.png",show_charts=True)
for idx,lamda in enumerate([ 0.0001, 0.001, 0.01, 0.1, 1, 0 ]):
lr = LogisticRegression(eta=eta, lambda_parameter=lamda)
lr.fit(X,Y)
lr.test_insample()
print "Logistic regression with lambda %.5f, in-sample error rate %.1f%%" % ( lamda, lr.insample_err * 100.0 )
lr.visualize('logistic_regression_result_%d.png' % idx, show_charts=True)