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Results 41 - 50 of 2,047 for text (0.2 seconds)

  1. What are Word Embeddings? | A Comprehensive Wor...

    piece of text, such as positive, negative, or neutral. Text similarity:...predicting the next word in a sequence of text. By representing...
    www.elastic.co/what-is/word-embedding
    Sat Nov 15 01:29:11 GMT 2025
      323.3K bytes
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  2. Cohere - Elasticsearch Labs

    transform text chunks into vector representations....instructions and generate useful text. These models can be accessed...
    www.elastic.co/search-labs/integrations/cohere
    Sat Nov 15 01:02:25 GMT 2025
      213.9K bytes
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  3. What is Retrieval Augmented Generation (RAG)? |...

    information to generate text responses. The generated text might go through...a technique that supplements text generation with information...
    www.elastic.co/what-is/retrieval-augmented-generation
    Sat Nov 15 01:30:48 GMT 2025
      327K bytes
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  4. ComplementNB — scikit-learn 1.7.2 documen...

    poor assumptions of naive bayes text classifiers. In ICML (Vol. 3,...examples # Sample pipeline for text feature extraction and evaluation...
    scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.ComplementNB.html
    Fri Nov 14 06:59:28 GMT 2025
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  5. decomposition.rst.txt

    ||X-UV||_{\text{Fro}}^2+\alpha||V||_{1,1} \\ \text{subject to...||X-UV||_{\text{Fro}}^2+\alpha||U||_{1,1} \\ \text{subject to...
    scikit-learn.org/stable/_sources/modules/decomposition.rst.txt
    Fri Nov 14 06:59:24 GMT 2025
      45.8K bytes
     
  6. sg_gallery-rendered-html.css

    var(--sg-text-color); background-color: var(--sg-text-color);...html[data-theme="light"] { --sg-text-color: #000; --sg-background-color:...
    scikit-learn.org/stable/_static/sg_gallery-rendered-html.css
    Fri Nov 14 17:52:08 GMT 2025
      4.2K bytes
     
  7. TfidfVectorizer — scikit-learn 1.7.2 docu...

    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
    Fri Nov 14 06:59:27 GMT 2025
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  8. 7.7. Kernel Approximation — scikit-learn ...

    \(\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
    Fri Nov 14 06:59:24 GMT 2025
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  9. Evaluating generic phrases using Granite models...

    print the response text. print (response[ 'text' ]) Copy code Copied!...import pipeline pipe = pipeline( "text-generation" , model =model,...
    developer.ibm.com/articles/generics-granite/
    Sat Nov 15 03:12:19 GMT 2025
      728.9K bytes
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  10. Semi Supervised Classification — scikit-l...

    on a Text Dataset Semi-supervised Classification on a Text Dataset...
    scikit-learn.org/stable/auto_examples/semi_supervised/index.html
    Fri Nov 14 06:59:26 GMT 2025
      77.1K bytes
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