feat: add one-hot data preprocessing#46
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| dataList.forEach(data => { | ||
| keys = keys.concat(Object.keys(data)); | ||
| }) | ||
| keys = Array.from(new Set(keys)); |
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| } | ||
| }) | ||
| if (value.length) { | ||
| allKeyValueMap[key] = Array.from(new Set(value)); |
| allKeyValueMap[key] = Array.from(new Set(value)); | ||
| } | ||
| }) | ||
| delete allKeyValueMap['id']; |
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有没有可能让用户传入一些字段名字，用来排除计算。或者说传入一些字段名字，用于计算相似性
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好建议，已经加上extractKeys和noExtractKeys，用于指定仅计算哪些属性或排除计算哪些属性
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chore: perf code chore: perf code chore: perf code feat: 数据预处理支持指定要抽取的keys和不抽取的keys chore: perf code chore: perf code
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用于i-louvain、nodes-cosine-similarity等算法的节点属性特征向量提取
之前只抽取了数值型和日期型的属性做运算
one-hot可以处理所有离散型的数据提取映射成特征向量