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Results 81 - 90 of 370 for musk (0.1 sec)

  1. BayesianGaussianMixture — scikit-learn 1.5.0 do...

    Must be one of: 'full' ( each component...and the covariances. String must be one of: ‘kmeans’ : responsibilities...
    scikit-learn.org/stable/modules/generated/sklearn.mixture.BayesianGaussianMixture.html
    Wed May 22 15:20:05 UTC 2024
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  2. Compare BIRCH and MiniBatchKMeans — scikit-lear...

    colors_ ): mask = labels == k ax . scatter ( X [ mask , 0 ], X...colors_ ): mask = mbk . labels_ == k ax . scatter ( X [ mask , 0 ],...
    scikit-learn.org/stable/auto_examples/cluster/plot_birch_vs_minibatchkmeans.html
    Wed May 22 15:20:10 UTC 2024
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  3. Meet the Press: Inside Takes on the Latest Stor...

    must help ‘Israel defend itself’...08:48 GOP Rep. Lawler: Democrats must oppose Johnson’s ouster to show...
    www.nbcnews.com/meet-the-press
    Wed May 22 00:50:23 UTC 2024
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  4. LabelBinarizer — scikit-learn 1.5.0 documentation

    Value with which negative labels must be encoded. pos_label int, default=1...Value with which positive labels must be encoded. sparse_output bool,...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelBinarizer.html
    Wed May 22 15:20:05 UTC 2024
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  5. img_to_graph — scikit-learn 1.5.0 documentation

    mask=None , return_as=<class 'sc...width, channel) 2D or 3D image. mask ndarray of shape (height, width)...
    scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.img_to_graph.html
    Wed May 22 15:20:05 UTC 2024
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  6. SGDRegressor — scikit-learn 1.5.0 documentation

    Values must be in the range [0.0, inf) ....penalty is ‘elasticnet’. Values must be in the range [0.0, 1.0] ....
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDRegressor.html
    Wed May 22 15:20:08 UTC 2024
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  7. HDBSCAN — scikit-learn 1.5.0 documentation

    it must be one of the options allowed...to be a distance matrix and must be square. metric_params dict,...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.HDBSCAN.html
    Wed May 22 15:20:10 UTC 2024
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  8. AgglomerativeClustering — scikit-learn 1.5.0 do...

    n_clusters must be None and compute_full_tree must be True . Added...number of clusters to find. It must be None if distance_threshold...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.AgglomerativeClustering.html
    Wed May 22 15:20:10 UTC 2024
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  9. DistanceMetric — scikit-learn 1.5.0 documentation

    the distance must be a true metric: i.e. it must satisfy the following...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.DistanceMetric.html
    Wed May 22 15:20:05 UTC 2024
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  10. SVC — scikit-learn 1.5.0 documentation

    Must be strictly positive. The penalty...polynomial kernel function (‘poly’). Must be non-negative. Ignored by...
    scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html
    Wed May 22 15:20:05 UTC 2024
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