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  1. Classification of text documents using sparse f...

    predict ( X_test ) test_time = time () - t0 print ( f "test time: {...Clustering text documents using k-means Clustering text documents...
    scikit-learn.org/stable/auto_examples/text/plot_document_classification_20newsgroups.html
    Fri May 17 16:55:51 UTC 2024
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  2. sklearn.feature_extraction.text.CountVectorizer...

    text.CountVectorizer sklearn.feature_extraction.text .CountVectorizer...on a Text Dataset Semi-supervised Classification on a Text Dataset...
    scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.CountVectorizer.html
    Fri May 17 16:55:51 UTC 2024
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  3. sklearn.feature_extraction.text.TfidfVectorizer...

    text.TfidfVectorizer sklearn.feature_extraction.text .TfidfVectorizer...Classification of text documents using sparse features Clustering text documents...
    scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfVectorizer.html
    Fri May 17 16:55:52 UTC 2024
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  4. Sample pipeline for text feature extraction and...

    title = { "text" : "Parallel coordinates plot of text classifier...Clustering text documents using k-means Clustering text documents...
    scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_text_feature_extraction.html
    Fri May 17 16:55:53 UTC 2024
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  5. sklearn.tree.export_text — scikit-learn 1.4.2 d...

    export_text export_text sklearn.tree .export_text sklearn.tree....sklearn.tree. export_text ( decision_tree , * , feature_names = None...
    scikit-learn.org/stable/modules/generated/sklearn.tree.export_text.html
    Fri May 17 16:55:52 UTC 2024
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  6. Clustering text documents using k-means — sciki...

    Clustering text documents using k-means Loading text data Quantifying...Loading text data We load data from The 20 newsgroups text dataset...
    scikit-learn.org/stable/auto_examples/text/plot_document_clustering.html
    Fri May 17 16:55:52 UTC 2024
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  7. feature_extraction.rst.txt

    :math:`\text{tf-idf}_{\text{term1}} = \text{tf} \times \text{idf}...:math:`\text{tf-idf(t,d)}=\text{tf(t,d)} \times \text{idf(t)}`....
    scikit-learn.org/stable/_sources/modules/feature_extraction.rst.txt
    Fri May 17 16:55:53 UTC 2024
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  8. plot_release_highlights_1_4_0.rst.txt

    X_test, y_train, y_test = train_test_split(X_adult,...--sklearn-color-text-on-default-background: var(--sg-text-color, va...
    scikit-learn.org/stable/_sources/auto_examples/release_highlights/plot_release_highlights_1_4_0.r...
    Fri May 17 16:55:52 UTC 2024
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  9. 6.6. Random Projection — scikit-learn 1.4.2 doc...

    -\sqrt{\frac{s}{n_{\text{components}}}} & & 1 / 2s\\ 0 &\text{with probability}...1 / s \\ +\sqrt{\frac{s}{n_{\text{components}}}} & & 1 / 2s\\...
    scikit-learn.org/stable/modules/random_projection.html
    Fri May 17 16:55:52 UTC 2024
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  10. 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
    Fri May 17 16:55:53 UTC 2024
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