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Feature agglomeration vs. univariate selection ...
selection # This example compares 2 dimensionality reduction strategies:.... randn ( n_samples , size ** 2 ) for x in X : # smooth data x...scikit-learn.org/stable/auto_examples/cluster/plot_feature_agglomeration_vs_univariate_selection.... -
SGD: convex loss functions — scikit-learn...
= ( 1 - z [ z >= - 1 ]) ** 2 loss [ z >= 1.0 ] = 0 return...linspace ( xmin , xmax , 100 ) lw = 2 plt . plot ([ xmin , 0 , 0 , xmax...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_loss_functions.html -
make_circles — scikit-learn 1.8.0 documen...
n_samples int or tuple of shape (2,), dtype=int, default=100 If int,...ndarray of shape (n_samples, 2) The generated samples. y ndarray...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_circles.html -
Compressive sensing: tomography reconstruction ...
x - l / 2.0 ) ** 2 + ( y - l / 2.0 ) ** 2 < ( l / 2.0 ) **...** 2 mask = np . zeros (( l , l )) points = l * rs . rand ( 2 ,...scikit-learn.org/stable/auto_examples/applications/plot_tomography_l1_reconstruction.html -
RepeatedKFold — scikit-learn 1.8.0 docume...
2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]]) >>>...RepeatedKFold ( n_splits = 2 , n_repeats = 2 , random_state = 2652124...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedKFold.html -
3.1. Cross-validation: evaluating estimator per...
2 , 2 , 2 , 2 ] >>> groups = [ 1 , 1 , 2 , 2 , 3...)) [2 3] [0 1] [1 3] [0 2] [1 2] [0 3] [0 3] [1 2] [0 2] [1 3]...scikit-learn.org/stable/modules/cross_validation.html -
Using KBinsDiscretizer to discretize continuous...
subplots ( ncols = 2 , sharey = True , figsize = (...predict ( line ), linewidth = 2 , color = "green" ,...scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization.html -
maihamadb schema
Member 2 会員住所情報 MEMBER_ADDRESS TABLE MEMBER...(会員)MEMBER (arrangeQuery=2) 会員のプロフィールやアカウントなどの基本情報を保持する。...dbflute.seasar.org/ja/data/doc/harbor/schema-maihamadb.html -
hinge_loss — scikit-learn 1.8.0 documenta...
>>> pred_decision array([-2.18, 2.36, 0.09]) >>> hinge_loss...], [ 2 ], [ 3 ]]) >>> Y = np . array ([ 0 , 1 , 2 , 3...scikit-learn.org/stable/modules/generated/sklearn.metrics.hinge_loss.html -
inplace_row_scale — scikit-learn 1.8.0 do...
2 , 5 , 6 ]) >>> scale = np . array ([ 2 , 3 ,...>>> indptr = np . array ([ 0 , 2 , 3 , 4 , 5 ]) >>> indices...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_row_scale.html