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HuberRegressor — scikit-learn 1.6.0 documentation
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...penalty is equal to alpha * ||w||^2 . Must be in the range [0, inf)...scikit-learn.org/stable/modules/generated/sklearn.linear_model.HuberRegressor.html -
Compare Stochastic learning strategies for MLPC...
subplots ( 2 , 2 , figsize = ( 15 , 10 )) # load...0 , "learning_rate_init" : 0.2 , }, { "solver" : "sgd" , "learning_rate"...scikit-learn.org/stable/auto_examples/neural_networks/plot_mlp_training_curves.html -
Demonstration of k-means assumptions — scikit-l...
subplots ( nrows = 2 , ncols = 2 , figsize = ( 12 , 12 ))...plt . subplots ( nrows = 2 , ncols = 2 , figsize = ( 12 , 12 ))...scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_assumptions.html -
アニマル - BuzzFeed
農水省がSNSで8月21日、「魚クイズ」と題して2種類の魚の画像を投稿。細長くて光沢のある2匹。片方はウナギだそうですが……？【2024年回顧】...した。ずっと見ていたくなる美しい輝きを放つワンコには、6.2万件のいいねが寄せられています。 Mikazuki 【保護猫...www.buzzfeed.com/jp/badge/animaljp -
_safe_indexing — scikit-learn 1.6.0 documentation
2 ], [ 3 , 4 ], [ 5 , 6 ]]) >>>...select the first row array([1, 2]) >>> _safe_indexing ( data ,...scikit-learn.org/stable/modules/generated/sklearn.utils._safe_indexing.html -
k_means — scikit-learn 1.6.0 documentation
2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 10 , 2 ], [ 10 , 4...>>> centroid array([[10., 2.], [ 1., 2.]]) >>> label array([1,...scikit-learn.org/stable/modules/generated/sklearn.cluster.k_means.html -
Model-based and sequential feature selection — ...
2 area (worst): 185.2 4254.0 smoothness (worst):...Since we want to select only 2 features, we will set this threshold...scikit-learn.org/stable/auto_examples/feature_selection/plot_select_from_model_diabetes.html -
Label Propagation digits: Demonstrating perform...
RandomState ( 2 ) indices = np . arange ( len...1.00 1.00 27 1 0.82 1.00 0.90 37 2 1.00 0.86 0.92 28 3 1.00 0.80...scikit-learn.org/stable/auto_examples/semi_supervised/plot_label_propagation_digits.html -
Hierarchical clustering: structured vs unstruct...
2 import mpl_toolkits.mplot3d #...== l , 1 ], X [ label == l , 2 ], color = plt . cm . jet ( float...scikit-learn.org/stable/auto_examples/cluster/plot_ward_structured_vs_unstructured.html -
Kernel — scikit-learn 1.6.0 documentation
length_scale = 2.0 ) >>> X = np . array ([[ 1 , 2 ], [ 3 , 4 ]])..., X if Y is None else Y ) ** 2 ... def diag ( self , X ): ......scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Kernel.html