machine learning in coding（python）：根据关键字合并多个表（构建组合feature）
分类：scikit-learnmachine learning in coding
三张表；train_set.csv；test_set.csv；feature.csv。三张表通过object_id关联。
import pandas as pdimport numpy as np# load training and test datasetstrain = pd.read_csv('../input/train_set.csv')test = pd.read_csv('../input/test_set.csv')features = pd.read_csv('../input/feature.csv')train = pd.merge(train,features,on='object_id',how='inner')test = pd.merge(test,features,on='object_id',how='inner')# drop useless columns and create labelstest = test.drop(['id', 'object_id'], axis = 1)labels = train.cost.valuestrain = train.drop(['object_id', 'cost'], axis = 1)# convert data to numpy array train = np.array(train) test = np.array(test)from：kaggle
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上一篇scikit-learn：External Resources, Videos and Talks下一篇scikit-learn（工程中用的相对较多的模型介绍）：1.4. Support Vector Machines
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