Rank Features 字段类型

rank_features 字段可以索引数值特征向量，以便稍后在查询中使用 rank_feature 查询来提升文档。

它类似于 rank_feature 数据类型，但在特征列表稀疏时更适用，在这种情况下，为每个特征向映射添加一个字段是不合理的。

resp = client.indices.create(
    index="my-index-000001",
    mappings={
        "properties": {
            "topics": {
                "type": "rank_features"
            },
            "negative_reviews": {
                "type": "rank_features",
                "positive_score_impact": False
            }
        }
    },
)
print(resp)

resp1 = client.index(
    index="my-index-000001",
    id="1",
    document={
        "topics": {
            "politics": 20,
            "economics": 50.8
        },
        "negative_reviews": {
            "1star": 10,
            "2star": 100
        }
    },
)
print(resp1)

resp2 = client.index(
    index="my-index-000001",
    id="2",
    document={
        "topics": {
            "politics": 5.2,
            "sports": 80.1
        },
        "negative_reviews": {
            "1star": 1,
            "2star": 10
        }
    },
)
print(resp2)

resp3 = client.search(
    index="my-index-000001",
    query={
        "rank_feature": {
            "field": "topics.politics"
        }
    },
)
print(resp3)

resp4 = client.search(
    index="my-index-000001",
    query={
        "rank_feature": {
            "field": "negative_reviews.1star"
        }
    },
)
print(resp4)

resp5 = client.search(
    index="my-index-000001",
    query={
        "term": {
            "topics": "economics"
        }
    },
)
print(resp5)

const response = await client.indices.create({
  index: "my-index-000001",
  mappings: {
    properties: {
      topics: {
        type: "rank_features",
      },
      negative_reviews: {
        type: "rank_features",
        positive_score_impact: false,
      },
    },
  },
});
console.log(response);

const response1 = await client.index({
  index: "my-index-000001",
  id: 1,
  document: {
    topics: {
      politics: 20,
      economics: 50.8,
    },
    negative_reviews: {
      "1star": 10,
      "2star": 100,
    },
  },
});
console.log(response1);

const response2 = await client.index({
  index: "my-index-000001",
  id: 2,
  document: {
    topics: {
      politics: 5.2,
      sports: 80.1,
    },
    negative_reviews: {
      "1star": 1,
      "2star": 10,
    },
  },
});
console.log(response2);

const response3 = await client.search({
  index: "my-index-000001",
  query: {
    rank_feature: {
      field: "topics.politics",
    },
  },
});
console.log(response3);

const response4 = await client.search({
  index: "my-index-000001",
  query: {
    rank_feature: {
      field: "negative_reviews.1star",
    },
  },
});
console.log(response4);

const response5 = await client.search({
  index: "my-index-000001",
  query: {
    term: {
      topics: "economics",
    },
  },
});
console.log(response5);

PUT my-index-000001
{
  "mappings": {
    "properties": {
      "topics": {
        "type": "rank_features" 
      },
      "negative_reviews" : {
        "type": "rank_features",
        "positive_score_impact": false 
      }
    }
  }
}

PUT my-index-000001/_doc/1
{
  "topics": { 
    "politics": 20,
    "economics": 50.8
  },
  "negative_reviews": {
    "1star": 10,
    "2star": 100
  }
}

PUT my-index-000001/_doc/2
{
  "topics": {
    "politics": 5.2,
    "sports": 80.1
  },
  "negative_reviews": {
    "1star": 1,
    "2star": 10
  }
}

GET my-index-000001/_search
{
  "query": { 
    "rank_feature": {
      "field": "topics.politics"
    }
  }
}

GET my-index-000001/_search
{
  "query": { 
    "rank_feature": {
      "field": "negative_reviews.1star"
    }
  }
}

GET my-index-000001/_search
{
  "query": { 
    "term": {
      "topics": "economics"
    }
  }
}

	Rank Features 字段必须使用 `rank_features` 字段类型。
	与分数负相关的 Rank Features 需要声明。
	Rank Features 字段必须是具有字符串键和严格正数值的哈希。
	此查询根据文档与“政治”主题的相关程度对文档进行排序。
	此查询根据文档收到的“1星”评论数量的倒数对文档进行排序。
	此查询返回在“topics”字段中存储“economics”特征的文档。

rank_features 字段仅支持单值特征和严格正值。多值字段和零或负值将被拒绝。

rank_features 字段不支持排序或聚合，并且只能使用 rank_feature 或 term 查询进行查询。

对 rank_features 字段的 term 查询通过将匹配的存储特征值乘以提供的 boost 来评分。

rank_features 字段仅保留 9 位有效数字以实现精度，这相当于约 0.4% 的相对误差。

与分数负相关的 Rank Features 应将 positive_score_impact 设置为 false（默认为 true）。rank_feature 查询将使用此功能修改评分公式，以便分数随着特征值的增加而降低而不是增加。

« Rank Feature 字段类型 Search-as-you-type 字段类型 »