svm = LazyImport("from sklearn import svm") GradientBoostingClassifier = LazyImport( "from sklearn.ensemble import GradientBoostingClassifier" ) GradientBoostingRegressor = LazyImport( "from sklearn.ensemble import GradientBoostingRegressor" ) RandomForestClassifier = LazyImport( "from sklearn.ensemble ...
svm=LazyImport("from sklearn import svm") GradientBoostingClassifier=LazyImport( "from sklearn.ensemble import GradientBoostingClassifier" ) GradientBoostingRegressor=LazyImport( "from sklearn.ensemble import GradientBoostingRegressor" ) RandomForestClassifier=LazyImport( "from sklearn.ensemble import Random...
sklearn.model_selection import train_test_split")svm = LazyImport("from sklearn import svm") GradientBoostingClassifier = LazyImport( "from sklearn.ensemble import GradientBoostingClassifier") GradientBoostingRegressor = LazyImport( "from sklearn.ensemble import GradientBoostingRegressor") RandomForestCla...
### Machine Learningsklearn = LazyImport("import sklearn")OneHotEncoder = LazyImport("from sklearn.preprocessing import OneHotEncoder")TSNE = LazyImport("from sklearn.manifold import TSNE")train_test_split = LazyImport("from sklearn.model_selection import train_test_split")svm = LazyImport("...
("from sklearn import svm") GradientBoostingClassifier = LazyImport( "from sklearn.ensemble import GradientBoostingClassifier" ) GradientBoostingRegressor = LazyImport( "from sklearn.ensemble import GradientBoostingRegressor" ) RandomForestClassifier = LazyImport( "from sklearn.ensemble import Random...
GradientBoostingClassifier = LazyImport("from sklearn.ensemble import GradientBoostingClassifier")GradientBoostingRegressor = LazyImport("from sklearn.ensemble import GradientBoostingRegressor")RandomForestClassifier = LazyImport("from sklearn.ensemble import RandomForestClassifier")RandomForestRegressor = Lazy...
在这个示例中,使用GradientBoostingClassifier来构建梯度提升树分类器模型,并评估模型的性能。 实际应用场景 1. 金融领域 - 信用评分 在金融领域中,Python scikit-llm库经常用于进行信用评分,即根据客户的信用历史和其他相关信息,预测其未来的信用表现。这在贷款和信用卡申请过程中尤其重要。
GradientBoostingRegressor LazyImport OneHotEncoder Path RandomForestClassifier RandomForestRegressor SparkContext TSNE TfidfVectorizer ... 如果没有的话,可以进行自定义添加,在主目录中的文件写入 import 语句。 示例如下。 vim ~/.pyforest/user_imports.py ...
如果你使用的是IPython,例如Jupyter Notebook 或者是 Spyder,你甚至可以直接使用,而不需要大部分的import——pyforest会把它添加到IPython的自动启动中去。 3. 哪些库支持自动导入? 找到你的库安装的位置,例如我的是:D:\Softwares\Anaconda\Lib\site-packages\pyforest,并且打开_imports.py,你就可以看到默认被导入的...
from sklearn.ensemble import GradientBoostingRegressorGBR_house = GradientBoostingRegressor().fit(wineq_data_train,wineq_target_train)print('建立的梯度提升回归模型为:','\n',GBR_house)wineq_target_pred = GBR_house.predict(wineq_data_test)print('预测前20个结果为:','\n',wineq_pred[:20])...