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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 -
shuffle — scikit-learn 1.7.1 documentation
random_state = None , n_samples = None ) [source] # Shuffle...X_sparse , y = shuffle ( X , X_sparse , y , random_state = 0 ) >>>...scikit-learn.org/stable/modules/generated/sklearn.utils.shuffle.html -
TargetTags — scikit-learn 1.7.1 documentation
one_d_labels : bool = False , two_d_labels : bool = False , positive_only...positive_only : bool = False , multi_output : bool = False , single_output...scikit-learn.org/stable/modules/generated/sklearn.utils.TargetTags.html -
大味なコード補完 | DBFlute
command) + 2 and L to MemberCB cb = new MemberCB(); // 変数名は習慣的に "cb"...@Java List<Member> memberList = memberBhv .selectList(cb); //...dbflute.seasar.org/ja/manual/topic/programming/completion/bigcomp.html -
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 -
beta_divergence.png
encoding=ISO-8859-1, compression=none keyword=Software, value=Matplotlib...0.2540005 width=640, height=480, bitDepth=8, colorType=RGB, compr...scikit-learn.org/stable/_images/beta_divergence.png -
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 -
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 -
VarianceThreshold — scikit-learn 1.7.1 document...
VarianceThreshold ( threshold = 0.0 ) [source] # Feature selector...Parameters : threshold float, default=0 Features with a training-set...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.VarianceThreshold.html
