machine learning in python：根據關鍵字合并多個表（構建組合feature）

標籤：機器學習   scikit-learn   合并多張表   組合特徵   

三張表；train_set.csv；test_set.csv；feature.csv。三張表通過object_id關聯。

<pre name="code" class="python"><strong><span style="font-size:18px;">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)</span></strong>

著作權聲明：本文為博主原創文章，未經博主允許不得轉載。

machine learning in python：根據關鍵字合并多個表（構建組合feature）