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  1. TransformedTargetRegressor — scikit-learn 1.7.1...

    regressor = None , * , transformer = None , func = None , inverse_func...... func = np . log , inverse_func = np . exp ) >>> X = np . arange...
    scikit-learn.org/stable/modules/generated/sklearn.compose.TransformedTargetRegressor.html
    Sat Aug 23 16:32:04 UTC 2025
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  2. apple-icon-144x144.png

    35285816 width=144, height=144, bitDepth=8, colorType=RGBAlpha, ...compressionMethod=deflate, filterMethod=adaptive, interlaceMethod=none RGB...
    www.elastic.co/apple-icon-144x144.png
    Fri Aug 22 16:43:23 UTC 2025
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  3. favicon-96x96.png

    35285816 width=96, height=96, bitDepth=8, colorType=RGBAlpha, c...compressionMethod=deflate, filterMethod=adaptive, interlaceMethod=none RGB...
    www.elastic.co/favicon-96x96.png
    Fri Aug 22 16:43:23 UTC 2025
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  4. favicon_16x16.png

    35285816 width=16, height=16, bitDepth=8, colorType=RGBAlpha, c...compressionMethod=deflate, filterMethod=adaptive, interlaceMethod=none RGB...
    www.elastic.co/favicon_16x16.png
    Fri Aug 22 16:43:23 UTC 2025
      644 bytes
     
  5. additionalTableMap | DBFlute

    BLE = map:{ ; columnMap = map:{ ; TEST_ID = map:{ type = INTEGER...TEST_NAME = map:{ type = VARCHAR ; required = true ; size = 123 }...
    dbflute.seasar.org/ja/manual/reference/dfprop/additionaltable/index.html
    Tue Aug 12 02:41:09 UTC 2025
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  6. PatchExtractor — scikit-learn 1.7.1 documentation

    patch_size = None , max_patches = None , random_state = None ) [source]...dataset: >>> X = load_sample_images () . images [ 1 ] >>> X = X [ None...
    scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.PatchExtractor.html
    Sat Aug 23 16:32:03 UTC 2025
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  7. compute_optics_graph — scikit-learn 1.7.1 docum...

    max_eps = np . inf , ... metric = "minkowski" , ... p = 2 , ......metric_params = None , ... algorithm = "auto" , ... leaf_size = 30 , ......
    scikit-learn.org/stable/modules/generated/sklearn.cluster.compute_optics_graph.html
    Sat Aug 23 16:32:04 UTC 2025
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  8. AgglomerativeClustering — scikit-learn 1.7.1 do...

    n_clusters = 2 , * , metric = 'euclidean' , memory = None , connectivity...connectivity = None , compute_full_tree = 'auto' , linkage = 'ward'...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.AgglomerativeClustering.html
    Sat Aug 23 16:32:04 UTC 2025
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  9. ledoit_wolf_shrinkage — scikit-learn 1.7.1 docu...

    >>> X = rng . multivariate_normal ( mean = [ 0 , 0 ], cov = real_cov...X , assume_centered = False , block_size = 1000 ) [source] # Estimate...
    scikit-learn.org/stable/modules/generated/sklearn.covariance.ledoit_wolf_shrinkage.html
    Sat Aug 23 16:32:03 UTC 2025
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  10. LinearRegression — scikit-learn 1.7.1 documenta...

    fit_intercept = True , copy_X = True , tol = 1e-06 , n_jobs = None ,...3 ]]) >>> # y = 1 * x_0 + 2 * x_1 + 3 >>> y = np . dot ( X ,...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.LinearRegression.html
    Sat Aug 23 16:32:03 UTC 2025
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