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Kernel Density Estimate of Species Distribution...
coordinates" ) kde = KernelDensity ( bandwidth = 0.04 , metric = "haversine"...basemap" ) m = Basemap ( projection = "cyl" , llcrnrlat = Y . min...scikit-learn.org/stable/auto_examples/neighbors/plot_species_kde.html -
cross_validation.rst.txt
_cross_validation: ========== Cross-validation: evaluating...evaluating estimator performance ========== .. currentmodule:: sklearn.model_selection...scikit-learn.org/stable/_sources/modules/cross_validation.rst.txt -
Theil-Sen Regression — scikit-learn 1.7.0 docum...
color = "indigo" , marker = "x" , s = 40 ) line_x = np . array...n_samples = 200 # Linear model y = 3*x + N(2, 0.1**2) x = np . random...scikit-learn.org/stable/auto_examples/linear_model/plot_theilsen.html -
KNeighborsTransformer — scikit-learn 1.7.0 docu...
leaf_size = 30 , metric = 'minkowski' , p = 2 , metric_params = None...* , mode = 'distance' , n_neighbors = 5 , algorithm = 'auto' ,...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsTransformer.html -
Di xml の Expression | DBFlute
path="trial_option.xml"/> <include condition=" #SMART == 'alwaysNotMatch'...<include condition=" #SMART == 'alwaysNotMatch' " path="rdb.xml"/> ......dbflute.seasar.org/ja/lastaflute/lastadi/dixmlexp.html -
Ledoit-Wolf vs OAS estimation — scikit-learn 1....
shrinkage_ oa = OAS ( store_precision = False , assume_centered = True...yerr = lw_mse . std ( 1 ), label = "Ledoit-Wolf" , color = "navy"...scikit-learn.org/stable/auto_examples/covariance/plot_lw_vs_oas.html -
Demonstrating the different strategies of KBins...
cluster_std = 0.5 , centers = centers_0 , random_state = random_state...cluster_std = 0.5 , centers = centers_1 , random_state = random_state...scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization_strategies.html -
Ordinary Least Squares and Ridge Regression — s...
s = 30 , c = "red" , marker = "+" , zorder = 10 ) ax ....train_test_split X , y = load_diabetes ( return_X_y = True ) X = X [:, [ 2...scikit-learn.org/stable/auto_examples/linear_model/plot_ols_ridge.html -
Nested versus non-nested cross-validation — sci...
random_state = i ) outer_cv = KFold ( n_splits = 4 , shuffle = True ,...NUM_TRIALS = 30 # Load the dataset iris = load_iris () X_iris = iris...scikit-learn.org/stable/auto_examples/model_selection/plot_nested_cross_validation_iris.html -
plot_release_highlights_1_7_0.zip
""" ========== Release Highlights for scikit-learn 1.7 ==========...========== .. currentmodule:: sklearn We are pleased to announce the...scikit-learn.org/stable/_downloads/0f052545c78541815099d62501f25a9e/plot_release_highlights_1_7_0...