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  1. IBM Cloud Pak for Applications - IBM Developer

    of 2 pages 1 2 of 2 pages Previous page Next...
    developer.ibm.com/components/cloud-pak-for-applications
    Mon Feb 02 13:50:53 UTC 2026
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  2. PyTorch - IBM Developer

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    developer.ibm.com/components/pytorch/
    Mon Feb 02 12:51:12 UTC 2026
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  3. 日志配置

    /^\d{4}-\d{2}-\d{2}/ format1 /^(?<time>\d{4}-\d{2}-\d{2} \d{...\d{2}:\d{2}:\d{2},\d{3}) \[(?<thread>.*?)\] (?<level&g...
    fess.codelibs.org/zh-cn/15.3/config/admin-logging.html
    Mon Dec 22 02:48:54 UTC 2025
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  4. Robust covariance estimation and Mahalanobis di...

    standard deviation equal to 2 and feature 2 has a standard deviation...n_features = 2 # generate Gaussian data of shape (125, 2) gen_cov...
    scikit-learn.org/stable/auto_examples/covariance/plot_mahalanobis_distances.html
    Tue Mar 17 03:44:39 UTC 2026
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  5. Serverless - IBM Developer

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    developer.ibm.com/depmodels/serverless
    Mon Jan 12 13:13:10 UTC 2026
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  6. One-class SVM with non-linear kernel (RBF) — sc...

    2 ) X_train = np . r_ [ X + 2 , X - 2 ] # Generate...randn ( 20 , 2 ) X_test = np . r_ [ X + 2 , X - 2 ] # Generate...
    scikit-learn.org/stable/auto_examples/svm/plot_oneclass.html
    Tue Mar 17 03:44:39 UTC 2026
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  7. Solutions and use cases | Elastic Docs

    Core search capabilities 2. Elasticsearch solution 1. Core...solutions, and project types 2. Additional UI tools that complement...
    www.elastic.co/docs/solutions
    Fri Mar 13 19:33:33 UTC 2026
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  8. shuffle — scikit-learn 1.8.0 documentation

    [2., 1.], [1., 0.]]) >>> y array([2, 1, 0]) >>>...= np . array ([[ 1. , 0. ], [ 2. , 1. ], [ 0. , 0. ]]) >>>...
    scikit-learn.org/stable/modules/generated/sklearn.utils.shuffle.html
    Mon Mar 09 16:03:58 UTC 2026
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  9. MeanShift — scikit-learn 1.8.0 documentation

    complexity will tend towards O(T*n^2). Scalability can be boosted by...X = np . array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.MeanShift.html
    Tue Mar 17 03:44:39 UTC 2026
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  10. GroupShuffleSplit — scikit-learn 1.8.0 do...

    0: Train: index=[2 3 4 5 6 7], group=[2 2 2 3 3 3] Test: index=[0...3 3 3] Test: index=[2 3 4], group=[2 2 2] get_metadata_routing...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupShuffleSplit.html
    Mon Mar 09 14:07:53 UTC 2026
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