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Plotting Learning Curves and Checking Models’ S...
ax = plt . subplots ( nrows = 1 , ncols = 2 , figsize = ( 10...nrows = 2 , ncols = 2 , figsize = ( 16 , 12 ), sharex = True )...scikit-learn.org/stable/auto_examples/model_selection/plot_learning_curve.html -
JDBCタスクのログ | DBFlute
- $ /= = = = = = = = = = = = = = = = = = = = = = = = = = [df-jdbc]...[df-jdbc] ... 815 INFO - $ = = = = = = = = = =/ [df-jdbc] ... 815 INFO...dbflute.seasar.org/ja/manual/function/generator/task/jdbc/logging.html -
Plot randomly generated multilabel dataset — sc...
marker = "*" , linewidth = 0.5 , edgecolor = "black" , s = 20 +...( ax , n_labels = 1 , n_classes = 3 , length = 50 ): X , Y , p_c...scikit-learn.org/stable/auto_examples/datasets/plot_random_multilabel_dataset.html -
Eclipseエディターテンプレート | DBFlute
sea = ... ifnu... // control+space, enter ↓↓↓ if (sea == null...if (xxx == null) {} を補完 ifNotNull 近くの変数で if (xxx != null) {}...dbflute.seasar.org/ja/manual/topic/friends/eclipse/coding/templates.html -
RadiusNeighborsRegressor — scikit-learn 1.7.0 d...
leaf_size = 30 , p = 2 , metric = 'minkowski' , metric_params = None...radius = 1.0 , * , weights = 'uniform' , algorithm = 'auto' ,...scikit-learn.org/stable/modules/generated/sklearn.neighbors.RadiusNeighborsRegressor.html -
Gaussian processes on discrete data structures ...
width = 0.2 , color = "r" , alpha = 1 , label = "training"...)], s = 100 , marker = "x" , facecolor = "b" , linewidth = 2 ,...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_on_structured_data.html -
Robust linear estimator fitting — scikit-learn ...
( 42 ) X = np . random . normal ( size = 400 ) y = np . sin (...( size = 200 ) y_test = np . sin ( X_test ) X_test = X_test [:,...scikit-learn.org/stable/auto_examples/linear_model/plot_robust_fit.html -
SGD: Penalties — scikit-learn 1.7.0 documentation
inline = 1 , fontsize = 18 , fmt = { 1.0 : "L2" }, manual = [( -...inline = 1 , fontsize = 18 , fmt = { 1.0 : "L1" }, manual = [( -...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_penalties.html -
7.3. Preprocessing data — scikit-learn 1.7.0 do...
axis = 0 )) / ( X . max ( axis = 0 ) - X . min ( axis = 0 ))...output_distribution = 'normal' , random_state = 0 ) >>> X_trans = quantile_transformer...scikit-learn.org/stable/modules/preprocessing.html -
SGD: convex loss functions — scikit-learn 1.7.0...
): z = y_pred * y_true loss = - 4 * z loss [ z >= - 1 ] = ( 1...color = "darkorchid" , lw = lw , linestyle = "--" , label = "Modified...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_loss_functions.html