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  1. Introducing Scalar Quantization in Lucene — Ela...

    ors of disk space since f l o a t float f l o a t values are 4 bytes....fair comparison with f l o a t 32 float32 f l o a t 32 we used...
    www.elastic.co/search-labs/blog/scalar-quantization-in-lucene
    Sat Jun 01 01:07:21 UTC 2024
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  2. model_evaluation.rst.txt

    _precision_recall_f_measure_metrics: Precision, recall and F-measures...1_score>`_ (:math:`F_\beta` and :math:`F_1` measures) can be...
    scikit-learn.org/stable/_sources/modules/model_evaluation.rst.txt
    Fri May 31 14:06:06 UTC 2024
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  3. 3.4. Metrics and scoring: quantifying the quali...

    The F-measure ( \(F_\beta\) and \(F_1\) measures) can...score, also known as balanced F-score or F-measure. fbeta_score (y_true,...
    scikit-learn.org/stable/modules/model_evaluation.html
    Fri May 31 14:06:06 UTC 2024
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  4. 1.16. Probability calibration — scikit-learn 1....

    (y_i - \hat{f}_i)^2\] subject to \(\hat{f}_i \geq \hat{f}_j\) whenever...: \[p(y_i = 1 | f_i) = \frac{1}{1 + \exp(A f_i + B)} \,,\] where...
    scikit-learn.org/stable/modules/calibration.html
    Fri May 31 14:06:07 UTC 2024
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  5. RepeatedStratifiedKFold — scikit-learn 1.5.0 do...

    print ( f "Fold { i } :" ) ... print ( f " Train: index=...train_index } " ) ... print ( f " Test: index= { test_index }...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedStratifiedKFold.html
    Fri May 31 14:06:06 UTC 2024
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  6. decomposition.rst.txt

    F. Bach, J. Ponce, G. Sapiro, 2009..._ R. Jenatton, G. Obozinski, F. Bach, 2009 .. _kernel_PCA: Kernel...
    scikit-learn.org/stable/_sources/modules/decomposition.rst.txt
    Fri May 31 14:06:04 UTC 2024
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  7. StratifiedShuffleSplit — scikit-learn 1.5.0 doc...

    print ( f "Fold { i } :" ) ... print ( f " Train: index=...train_index } " ) ... print ( f " Test: index= { test_index }...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedShuffleSplit.html
    Fri May 31 14:06:04 UTC 2024
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  8. FeatureHasher — scikit-learn 1.5.0 documentation

    'run' : 5 }] >>> f = h . transform ( D ) >>> f . toarray () array([[..."bird" ]] >>> f = h . transform ( raw_X ) >>> f . toarray () array([[...
    scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.FeatureHasher.html
    Fri May 31 14:06:06 UTC 2024
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  9. GroupKFold — scikit-learn 1.5.0 documentation

    print ( f "Fold { i } :" ) ... print ( f " Train: index=...train_index ] } " ) ... print ( f " Test: index= { test_index }...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupKFold.html
    Fri May 31 14:06:04 UTC 2024
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  10. SelectPercentile — scikit-learn 1.5.0 documenta...

    See also f_classif ANOVA F-value between label/feature...for classification tasks. f_regression F-value between label/feature...
    scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectPercentile.html
    Fri May 31 14:06:07 UTC 2024
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