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#
# Pyserini: Reproducible IR research with sparse and dense representations
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from elasticsearch import Elasticsearch
# Create the client instance
client = Elasticsearch("http://localhost:9200")
print(client.info())
impact_index_config = {
"settings": {
"number_of_shards": 1,
"similarity": {
"default": {
"type": "BM25",
"k1": 0.9,
"b": 0.4
},
"impact_similarity": {
"type": "scripted",
"script": {
"source": "double tf = doc.freq; return query.boost * tf;"
}
},
}
},
"mappings": {
"properties": {
"document": {
"type": "text",
"analyzer": "english",
"similarity": "default",
},
"vector": {
"type": "text",
"analyzer": "whitespace",
"similarity": "impact_similarity"
}
}
}
}
client.indices.create(index='msmarco-v1-passage', body=impact_index_config)
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