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  1. gen_batches — scikit-learn 1.8.0 documentation

    list ( gen_batches ( 2 , 3 )) [slice(0, 2, None)] >>> list ( gen_batches...gen_batches ( 7 , 3 , min_batch_size = 2 )) [slice(0, 3, None), slice(3,...
    scikit-learn.org/stable/modules/generated/sklearn.utils.gen_batches.html
    Mon Mar 23 20:39:23 UTC 2026
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  2. Cluster analysis in R - IBM Developer

    diag( 2 ) * c( 2 , 1 ))) %>% mutate( class...diag( 2 ) * c( 1 , 3 ))) %>% mutate( class =factor( 2 )) cluster3...
    developer.ibm.com/tutorials/awb-cluster-analysis-in-r/
    Mon Feb 02 13:13:28 UTC 2026
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  3. Comparison of kernel ridge and Gaussian process...

    period of this sine is thus \(2 \pi\) . We will reuse this information...= "True signal" , linewidth = 2 ) plt . scatter ( training_data...
    scikit-learn.org/stable/auto_examples/gaussian_process/plot_compare_gpr_krr.html
    Mon Mar 23 20:39:20 UTC 2026
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  4. 로그 설정

    /^\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/ko/15.4/config/admin-logging.html
    Mon Feb 09 02:52:16 UTC 2026
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  5. TweedieRegressor — scikit-learn 1.8.0 documenta...

    2 ], [ 2 , 3 ], [ 3 , 4 ], [ 4 , 3 ]] >>> y = [ 2 , 3.5...determination R^2. R^2 uses squared error and D^2 uses the deviance...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.TweedieRegressor.html
    Mon Mar 23 20:39:23 UTC 2026
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  6. mean_absolute_error — scikit-learn 1.8.0 docume...

    2 , 7 ] >>> y_pred = [ 2.5 , 0.0 , 2 , 8 ] >>> mean_absolute_error...]] >>> y_pred = [[ 0 , 2 ], [ - 1 , 2 ], [ 8 , - 5 ]] >>> mean_absolute_error...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_absolute_error.html
    Mon Mar 23 20:39:21 UTC 2026
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  7. mean_squared_error — scikit-learn 1.8.0 documen...

    2 , 7 ] >>> y_pred = [ 2.5 , 0.0 , 2 , 8 ] >>> mean_squared_error...]] >>> y_pred = [[ 0 , 2 ],[ - 1 , 2 ],[ 8 , - 5 ]] >>> mean_squared_error...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_squared_error.html
    Mon Mar 23 20:39:23 UTC 2026
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  8. resample — scikit-learn 1.8.0 documentation

    2)> >>> X_sparse . toarray () array([[1., 0.], [2., 1.],...= np . array ([[ 1. , 0. ], [ 2. , 1. ], [ 0. , 0. ]]) >>> y =...
    scikit-learn.org/stable/modules/generated/sklearn.utils.resample.html
    Mon Mar 23 20:39:20 UTC 2026
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  9. ARIMA models in Python

    987 Model: SARIMAX(2, 1, 1)x(2, 0, [1, 2], 12) Log Likelihood...the model is SARIMAX(2, 1, 1)x(2, 0, [1, 2], 12) , which means...
    developer.ibm.com/tutorials/awb-arima-models-in-python/
    Tue Mar 24 01:21:03 UTC 2026
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  10. compute_optics_graph — scikit-learn 1.8.0 docum...

    2 ], [ 2 , 5 ], [ 3 , 6 ], ... [ 8...samples (rounded to be at least 2). max_eps float, default=np.inf...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.compute_optics_graph.html
    Mon Mar 23 20:39:20 UTC 2026
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