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Results 51 - 60 of 313 for musk (0.15 sec)

  1. grid_to_graph — scikit-learn 1.5.0 documentation

    mask = mask ) >>> print ( graph ) (0,...grid_to_graph ( n_x , n_y , n_z=1 , * , mask=None , return_as=<class 'sc...
    scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.grid_to_graph.html
    Fri Jun 07 19:49:38 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
    Fri Jun 07 19:49:37 UTC 2024
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  3. Kernel Density Estimate of Species Distribution...

    :: 5 ] land_mask = ( land_reference > - 9999...ravel ()]) . T xy = xy [ land_mask ] xy *= np . pi / 180.0 # Plot...
    scikit-learn.org/stable/auto_examples/neighbors/plot_species_kde.html
    Fri Jun 07 19:49:38 UTC 2024
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  4. 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
    Fri Jun 07 19:49:38 UTC 2024
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  5. Pixel importances with a parallel forest of tre...

    mask = y < 5 X = X [ mask ] y = y [ mask ] A random...
    scikit-learn.org/stable/auto_examples/ensemble/plot_forest_importances_faces.html
    Fri Jun 07 19:49:36 UTC 2024
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  6. PartialDependenceDisplay — scikit-learn 1.5.0 d...

    Each tuple must be of size 2. If any entry is...is a string, then it must be in feature_names . sample_weight...
    scikit-learn.org/stable/modules/generated/sklearn.inspection.PartialDependenceDisplay.html
    Fri Jun 07 19:49:38 UTC 2024
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  7. Developing scikit-learn estimators — scikit-lea...

    number of methods an object must implement. Elements of the scikit-learn...precomputed kernels where this data must be stored for use by the predict...
    scikit-learn.org/stable/developers/develop.html
    Wed Jun 05 00:53:46 UTC 2024
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  8. GradientBoostingRegressor — scikit-learn 1.5.0 ...

    values must be in the range [2, inf) . If float, values must be in...values must be in the range [1, inf) . If float, values must be in...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingRegressor.html
    Fri Jun 07 19:49:38 UTC 2024
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  9. 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
    Fri Jun 07 19:49:38 UTC 2024
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  10. Semi-supervised Classification on a Text Datase...

    # select a mask of 20% of the train dataset y_mask = np . random...the non-masked subset to be unlabeled y_train [ ~ y_mask ] = -...
    scikit-learn.org/stable/auto_examples/semi_supervised/plot_semi_supervised_newsgroups.html
    Fri Jun 07 19:49:37 UTC 2024
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