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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 -
KNeighborsClassifier — scikit-learn 1.7.2 docum...
leaf_size = 30 , p = 2 , metric = 'minkowski' , metric_params = None...n_neighbors = 5 , * , weights = 'uniform' , algorithm = 'auto' ,...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsClassifier.html -
additionalForeignKeyMap | DBFlute
foreignColumnName = MEMBER_ID ; fixedCondition = ... ; fixedSuffix = AsValid...{ ; $$split$$ = map: { ; land = dummy ; sea = dummy } # 本体の dfprop...dbflute.seasar.org/ja/manual/reference/dfprop/additionalforeignkey/index.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 -
Spectral clustering for image segmentation — sc...
as np l = 100 x , y = np . indices (( l , l )) center1 = ( 28 ,...center2 = ( 40 , 50 ) center3 = ( 67 , 58 ) center4 = ( 24 , 70...scikit-learn.org/stable/auto_examples/cluster/plot_segmentation_toy.html -
7.3. Preprocessing data — scikit-learn 1.7.2 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 -
KNeighborsRegressor — scikit-learn 1.7.2 docume...
leaf_size = 30 , p = 2 , metric = 'minkowski' , metric_params = None...n_neighbors = 5 , * , weights = 'uniform' , algorithm = 'auto' ,...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsRegressor.html -
SGD: Penalties — scikit-learn 1.7.2 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 -
Successive Halving Iterations — scikit-learn 1....
n_samples = 400 , n_features = 12 , random_state = rng ) clf = RandomForestClassifi...( legend = False , alpha = 0.6 ) labels = [ f "iter= { i } \n...scikit-learn.org/stable/auto_examples/model_selection/plot_successive_halving_iterations.html -
Plot classification boundaries with different S...
scatter = ax . scatter ( X [:, 0 ], X [:, 1 ], s = 150 , c = y ,...kernel , ax = None , long_title = True , support_vectors = True ):...scikit-learn.org/stable/auto_examples/svm/plot_svm_kernels.html