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  1. sklearn.neural_network.BernoulliRBM — scikit-le...

    G. E., Osindero, S. and Teh, Y....
    scikit-learn.org/stable/modules/generated/sklearn.neural_network.BernoulliRBM.html
    Sun May 19 20:00:39 UTC 2024
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  2. sklearn.decomposition.FastICA — scikit-learn 1....

    default=’logcosh’ The functional form of the G function used in the approximation...last dimension. Example: def my_g ( x ): return x ** 3 , ( 3 * x...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.FastICA.html
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  3. sklearn.decomposition.MiniBatchDictionaryLearni...

    G. Sapiro, 2009: Online dictionary...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.MiniBatchDictionaryLearning.html
    Sun May 19 20:00:39 UTC 2024
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  4. sklearn.naive_bayes.BernoulliNB — scikit-learn ...

    Androutsopoulos and G. Paliouras (2006). Spam filtering...sub-estimator of a meta-estimator, e.g. used inside a Pipeline . Otherwise...
    scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.BernoulliNB.html
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  5. Contributing — scikit-learn 1.4.2 documentation

    g., Fixes #1234 ; multiple issues/PRs...without using the keywords (e.g., See also #1234 ). PRs should...
    scikit-learn.org/stable/developers/contributing.html
    Sun May 19 20:00:38 UTC 2024
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  6. 1.1. Linear Models — scikit-learn 1.4.2 documen...

    g., frequency counts or prices of...be significantly faster than e.g. LogisticRegression with a high...
    scikit-learn.org/stable/modules/linear_model.html
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  7. Demo of OPTICS clustering algorithm — scikit-le...

    subplot ( G [ 0 , :]) ax2 = plt . subplot ( G [ 1 , 0 ]) ax3.... subplot ( G [ 1 , 1 ]) ax4 = plt . subplot ( G [ 1 , 2 ]) #...
    scikit-learn.org/stable/auto_examples/cluster/plot_optics.html
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  8. Roadmap — scikit-learn 1.4.2 documentation

    g. Pandas, Dask) and infrastructures (e.g. distributed...fit for, e.g. . #6425 #6424 Per-feature handling (e.g. “is this...
    scikit-learn.org/stable/roadmap.html
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  9. Iso-probability lines for Gaussian Processes cl...

    # A few constants lim = 8 def g ( x ): """The function to predict...consist in predicting whether g(x) <= 0 or not)""" return 5.0...
    scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_isoprobability.html
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  10. sklearn.preprocessing.power_transform — scikit-...

    g. if the data is a numpy array...transformation with the Transformer API (e.g. as part of a preprocessing Pipeline...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.power_transform.html
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