本文整理汇总了Python中pyearth.Earth.summary_feature_importances方法的典型用法代码示例。如果您正苦于以下问题：Python Earth.summary_feature_importances方法的具体用法？Python Earth.summary_feature_importances怎么用？Python Earth.summary_feature_importances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pyearth.Earth的用法示例。
在下文中一共展示了Earth.summary_feature_importances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: Earth
# 需要导入模块: from pyearth import Earth [as 别名]
# 或者: from pyearth.Earth import summary_feature_importances [as 别名]
10 * X[:, 3] +
5 * X[:, 4] + numpy.random.uniform(size=m))
# Fit an Earth model
criteria = ('rss', 'gcv', 'nb_subsets')
model = Earth(max_degree=3,
max_terms=10,
minspan_alpha=.5,
feature_importance_type=criteria,
verbose=True)
model.fit(X, y)
rf = RandomForestRegressor()
rf.fit(X, y)
# Print the model
print(model.trace())
print(model.summary())
print(model.summary_feature_importances(sort_by='gcv'))
# Plot the feature importances
importances = model.feature_importances_
importances['random_forest'] = rf.feature_importances_
criteria = criteria + ('random_forest',)
idx = 1
fig = plt.figure(figsize=(20, 10))
labels = ['$x_{}$'.format(i) for i in range(n)]
for crit in criteria:
plt.subplot(2, 2, idx)
plt.bar(numpy.arange(len(labels)),
importances[crit],
align='center',
color='red')