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  1. export_text — scikit-learn 1.5.0 documentation

    GitHub export_text # sklearn.tree. export_text ( decision_tree...= False ) [source] # Build a text report showing the rules of...
    scikit-learn.org/stable/modules/generated/sklearn.tree.export_text.html
    Sat May 25 13:41:02 UTC 2024
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  2. Out-of-core classification of text documents — ...

    while len ( X_text ): yield X_text , y X_text , y = get_minibatch...- tick test_stats [ "n_test" ] += len ( y_test ) test_stats [...
    scikit-learn.org/stable/auto_examples/applications/plot_out_of_core_classification.html
    Sat May 25 13:41:03 UTC 2024
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  3. Sample pipeline for text feature extraction and...

    title = { "text" : "Parallel coordinates plot of text classifier...{ "text" : "trade-off between scoring time and mean test score"...
    scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_text_feature_extraction.html
    Sat May 25 13:41:01 UTC 2024
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  4. 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
    Sat May 25 13:41:01 UTC 2024
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  5. Semi-supervised Classification on a Text Datase...

    X_test , y_train , y_test = train_test_split ( X ,..., X_train , y_train , X_test , y_test ): print ( "Number of training...
    scikit-learn.org/stable/auto_examples/semi_supervised/plot_semi_supervised_newsgroups.html
    Sat May 25 13:41:02 UTC 2024
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  6. Clustering text documents using k-means — sciki...

    Loading text data # We load data from The 20 newsgroups text dataset...top Ctrl + K GitHub Clustering text documents using k-means # This...
    scikit-learn.org/stable/auto_examples/text/plot_document_clustering.html
    Sat May 25 13:41:03 UTC 2024
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  7. 3.4. Metrics and scoring: quantifying the quali...

    (pre-test and post-tests): \[\text{post-test odds} = \text{Likelihood...recall: \[\text{precision} = \frac{\text{tp}}{\text{tp} + \text{fp}},\]...
    scikit-learn.org/stable/modules/model_evaluation.html
    Sat May 25 13:41:02 UTC 2024
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  8. 6.2. Feature extraction — scikit-learn 1.5.0 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
    Sat May 25 13:41:03 UTC 2024
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  9. fetch_20newsgroups — scikit-learn 1.5.0 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
    Sat May 25 13:41:03 UTC 2024
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  10. HashingVectorizer — scikit-learn 1.5.0 document...

    classification of text documents Out-of-core classification of text documents...Clustering text documents using k-means Clustering text documents...
    scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.HashingVectorizer.html
    Sat May 25 13:41:03 UTC 2024
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