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  1. Compatible third party models | Elastic Docs

    e-v2 Third party text embedding models Text Embedding models...Third party text similarity models You can use these text similarity...
    www.elastic.co/docs/explore-analyze/machine-learning/nlp/ml-nlp-model-ref
    Wed Sep 17 15:37:29 UTC 2025
      194.2K bytes
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  2. preprocessing.rst.txt

    K_{test} - 1'_{\text{n}_{samples}} K - K_{test} 1_{\text{n}_{samples}}...>>> X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=42)...
    scikit-learn.org/stable/_sources/modules/preprocessing.rst.txt
    Tue Sep 16 14:38:52 UTC 2025
      52.9K bytes
     
  3. Turbocharge your troubleshooting: Building a RA...

    to use the uploaded model for text embedding Creating an Elasticsearch...index that uses the semantic_text type to store PDF body content...
    www.elastic.co/search-labs/blog/build-rag-app-elastic
    Tue Aug 26 00:59:08 UTC 2025
      171.3K bytes
      1 views
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  4. fetch_20newsgroups — scikit-learn 1.7.2 documen...

    on a Text Dataset Semi-supervised Classification on a Text Dataset...Classification of text documents using sparse features Clustering text documents...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_20newsgroups.html
    Wed Sep 17 19:57:59 UTC 2025
      119.5K bytes
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  5. World's most downloaded vector database: Elasti...

    "my_text" : { "type" : "text" }, "category": {...vectors: Fast and efficient Sparse text expansion and dense meaning...
    www.elastic.co/elasticsearch/vector-database
    Thu Sep 18 00:03:01 UTC 2025
      644.2K bytes
      1 views
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  6. 7.2. Feature extraction — scikit-learn 1.7.2 do...

    1\) \(\text{tf-idf}_{\text{term1}} = \text{tf} \times \text{idf}...document-frequency : \(\text{tf-idf(t,d)}=\text{tf(t,d)} \times \text{idf(t)}\)...
    scikit-learn.org/stable/modules/feature_extraction.html
    Wed Sep 17 19:57:59 UTC 2025
      144.2K bytes
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  7. Hybrid search and semantic reranking with Elast...

    text_embedding : This task receives text and returns...100 languages. Embeddings turn text into numerical vectors that...
    www.elastic.co/search-labs/blog/hybrid-search-semantic-reranking-gcp-elasticsearch
    Thu Sep 18 00:50:02 UTC 2025
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  8. TfidfVectorizer — scikit-learn 1.7.2 documentation

    Classification of text documents using sparse features Clustering text documents...class sklearn.feature_extraction.text. TfidfVectorizer ( * , input='content'...
    scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfVectorizer.html
    Wed Sep 17 19:58:00 UTC 2025
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  9. api-search.css

    option { color: var(--pst-color-text-base); background-color: va...er { color: var(--pst-color-text-base); line-height: 0.7rem !important;...
    scikit-learn.org/stable/_static/styles/api-search.css
    Mon Sep 15 09:31:44 UTC 2025
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  10. Using LangExtract and Elasticsearch - Elasticse...

    structured data from free-form text using LangExtract and store...helps transform unstructured text into structured information...
    www.elastic.co/search-labs/blog/langextract-elasticsearch-tutorial-usage-example
    Wed Sep 17 02:15:51 UTC 2025
      147.6K bytes
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