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  1. java-editor-templates.xml

    text Text ${type:newType(org.eclipse.swt.widgets.Text)} $...tes.test_junit4 Test @${testType:newType(org.junit.Test)} public...
    dbflute.seasar.org/download/patch/handson/20140921_templates/java-editor-templates.xml
    Thu Oct 31 08:02:02 UTC 2024
      50.4K bytes
      1 views
     
  2. 2.3. Clustering — scikit-learn 1.5.2 documentation

    \[\text{ARI} = \frac{\text{RI} - E[\text{RI}]}{\max(\text{RI})...index: \[\text{AMI} = \frac{\text{MI} - E[\text{MI}]}{\text{mean}(H(U),...
    scikit-learn.org/stable/modules/clustering.html
    Thu Oct 31 11:00:34 UTC 2024
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  3. Exploring vector databases: how to get the best...

    the meaning of unstructured text and finds you “what you mean”...mean” instead of matching text — also known as semantic search ....
    www.elastic.co/search-labs/blog/lexical-ai-powered-search-elastic-vector-database
    Fri Nov 01 00:23:31 UTC 2024
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  4. 6.3. Preprocessing data — scikit-learn 1.5.2 do...

    - 1'_{\text{n}_{samples}} K - K_{test} 1_{\text{n}_{samples}}...X_train , X_test , y_train , y_test = train_test_split ( X ,...
    scikit-learn.org/stable/modules/preprocessing.html
    Thu Oct 31 11:00:34 UTC 2024
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  5. LangChain4j with Elasticsearch as the embedding...

    Create vector embeddings from text examples Store vector embeddings...able to generate vectors from text. Here we can check the number...
    www.elastic.co/search-labs/blog/langchain4j-elasticsearch-embedding-store
    Fri Oct 11 00:32:04 UTC 2024
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  6. Examples — scikit-learn 1.6.dev0 documentation

    classification of text documents Out-of-core classification of text documents...on a Text Dataset Semi-supervised Classification on a Text Dataset...
    scikit-learn.org/dev/auto_examples/index.html
    Thu Oct 31 11:00:35 UTC 2024
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  7. TfidfVectorizer — scikit-learn 1.5.2 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
    Thu Oct 31 11:00:34 UTC 2024
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  8. 6.7. Kernel Approximation — scikit-learn 1.5.2 ...

    \(\mathcal{O}(n_{\text{samples}}(n_{\text{features}} + n_{\text{components}}...\(\mathcal{O}(n^2_{\text{components}} \cdot n_{\text{samples}})\) ,...
    scikit-learn.org/stable/modules/kernel_approximation.html
    Thu Oct 31 11:00:32 UTC 2024
      61K bytes
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  9. linear_model.rst.txt

    cost of :math:`O(n_{\text{samples}} n_{\text{features}}^2)`, assuming...that :math:`n_{\text{samples}} \geq n_{\text{features}}`. .....
    scikit-learn.org/stable/_sources/modules/linear_model.rst.txt
    Thu Oct 24 14:56:00 UTC 2024
      78.3K bytes
      9 views
     
  10. sg_gallery.css

    sphx-glr-thumbcontainer p a span { /* text within link should be masked...7px; } div.sphx-glr-footer { text-align: center; } div.sphx-glr-download...
    scikit-learn.org/dev/_static/sg_gallery.css
    Thu Oct 31 11:00:33 UTC 2024
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