feature1和feature2 没有给出

[jack-steven-root]

多特征挖掘的 使用demo这里
from rulelift import MultiFeatureRuleMiner, load_example_data

加载用户特征数据集

feature_df = load_example_data('feas_target.csv')

初始化多特征规则挖掘器

multi_miner = MultiFeatureRuleMiner(feature_df, target_col='ISBAD')

绘制交叉热力图

plt = multi_miner.plot_cross_heatmap(feature1, feature2, metric='lift')
plt.savefig('cross_feature_heatmap.png', dpi=300, bbox_inches='tight')
print("交叉特征热力图已保存到: cross_feature_heatmap.png")
feature1和feature2 没有给出