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LearningCurveDisplay — scikit-learn 1.7.1 docum...
error_score = nan , fit_params = None , ax = None , negate_score = False...>>> X , y = load_iris ( return_X_y = True ) >>> tree = DecisionTreeClassifi...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LearningCurveDisplay.html -
暗号化・復号化処理の組み込み (GearedCipher) | DBFlute
VERSION_NO = VERSION_NO + 1 where MEMBER_ID = 3 ConditionBeanで検索すると......String secretKey = ... GearedCipherManager manager = new GearedCipherManager();...dbflute.seasar.org/ja/manual/function/genbafit/projectfit/gearedcipher/index.html -
ElasticNetCV — scikit-learn 1.7.1 documentation
max_iter = 1000 , tol = 0.0001 , cv = None , copy_X = True , verbose...l1_ratio = 0.5 , eps = 0.001 , n_alphas = 100 , alphas = None ,...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNetCV.html -
pairwise_distances_argmin — scikit-learn 1.7.1 ...
axis = 1 , metric = 'euclidean' , metric_kwargs = None ) [source]...pairwise_distances ( X , Y = Y , metric = metric ) . argmin ( axis = axis ) but...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances_argmin.html -
whats_new.rst.txt
rst Release History ========== Changelogs and release notes...scikit-learn.org/stable/_sources/whats_new.rst.txt -
Target Encoder’s Internal Cross fitting — sciki...
transform_output = "pandas" ) ridge = Ridge ( alpha = 1e-6 , solver = "lsqr"...n_samples = 50_000 rng = np . random . RandomState ( 42 ) y = rng ....scikit-learn.org/stable/auto_examples/preprocessing/plot_target_encoder_cross_val.html -
Scalable learning with polynomial kernel approx...
y = fetch_covtype ( return_X_y = True ) y [ y != 2 ] = 0 y...SVC ksvm = SVC ( C = 500.0 , kernel = "poly" , degree = 4 , coef0...scikit-learn.org/stable/auto_examples/kernel_approximation/plot_scalable_poly_kernels.html -
Single estimator versus bagging: bias-variance ...
* 10 - 5 X = np . sort ( X ) if n_repeat == 1 : y = f ( X ) +...X_train = [] y_train = [] for i in range ( n_repeat ): X , y = generate...scikit-learn.org/stable/auto_examples/ensemble/plot_bias_variance.html -
L1 Penalty and Sparsity in Logistic Regression ...
clf_l1_LR = LogisticRegression ( C = C , penalty = "l1" , tol = 0.01...penalty = "l2" , tol = 0.01 , solver = "saga" ) clf_en_LR = LogisticRegression...scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_l1_l2_sparsity.html -
estimate_bandwidth — scikit-learn 1.7.1 documen...
quantile = 0.3 , n_samples = None , random_state = 0 , n_jobs = None...points. quantile float, default=0.3 Should be between [0, 1] 0.5...scikit-learn.org/stable/modules/generated/sklearn.cluster.estimate_bandwidth.html