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Iso-probability lines for Gaussian Processes cl...
0256**2 * DotProduct(sigma_0=5.72) ** 2 # Authors: The...[:, 1 ] - 0.5 * x [:, 0 ] ** 2.0 # Design of experiments X =...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_isoprobability.html -
DBFluteのライセンス | DBFlute
Version 2.0 関連するプロダクトのライセンス DBFluteの仕組み...Apache Software License, Version 2.0 同梱する依存ライブラリのライセンス TODO jflute...dbflute.seasar.org/ja/environment/license.html -
Scalable learning with polynomial kernel approx...
= 2 ] = 0 y [ y == 2 ] = 1 # We will try to...ones. We use the Covtype dataset [2], trying to reproduce the experiments...scikit-learn.org/stable/auto_examples/kernel_approximation/plot_scalable_poly_kernels.html -
Vector Quantization Example — scikit-learn 1.7....
subplots ( ncols = 2 , figsize = ( 12 , 4 )) ax [ 0...by a factor of approximately 2.5. We will later discuss about...scikit-learn.org/stable/auto_examples/cluster/plot_face_compress.html -
Multiclass Receiver Operating Characteristic (R...
This can be done in 2 different ways: the One-vs-Rest...linearly separable from the other 2; the latter are not linearly separable...scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html -
TweedieRegressor — scikit-learn 1.7.1 documenta...
2 ], [ 2 , 3 ], [ 3 , 4 ], [ 4 , 3 ]] >>> y = [ 2 , 3.5...determination R^2. R^2 uses squared error and D^2 uses the deviance...scikit-learn.org/stable/modules/generated/sklearn.linear_model.TweedieRegressor.html -
plot_classifier_comparison.zip
make_classification( n_features=2, n_redundant=0, n_informative=2, random_state=1,...rng = np.random.RandomState(2) X += 2 * rng.uniform(size=X.shape)...scikit-learn.org/stable/_downloads/ce35bcc69acbd491cf7ac77fa17889d5/plot_classifier_comparison.zip -
ご飯が進む！かぼちゃの甘辛肉巻きレシピ・作り方｜Tasty
BuzzFeed 2人分 材料： かぼちゃ 200g 豚バラ肉（薄切り） 200g 片栗粉 大さじ2 サラダ油 小さじ2 【A】めんつゆ（3倍濃縮）...かぼちゃは耐熱皿に並べてラップをかけ、600Wの電子レンジで2分加熱する。5mmほどの厚さにスライスする。 ② ①を豚バラ肉で巻き、全体に薄く片栗粉をまぶす。...www.buzzfeed.com/jp/tomokasakai/pumpkin-meat-rolls-with-mustard-sauce -
roc_curve — scikit-learn 1.7.1 documentation
2 , 2 ]) >>> scores = np . array ([...Returns : fpr ndarray of shape (>2,) Increasing false positive rates...scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_curve.html -
Kibana Guide | Elastic
2 Kibana Guide: 8.1 Kibana Guide:...Kibana Guide: 7.3 Kibana Guide: 7.2 Kibana Guide: 7.1 Kibana Guide:...www.elastic.co/guide/en/kibana/index.html