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LearningCurveDisplay — scikit-learn 1.6.1 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 -
ElasticNetCV — scikit-learn 1.6.1 documentation
l1_ratio = 0.5 , eps = 0.001 , n_alphas = 100 , alphas = None ,...fit_intercept = True , precompute = 'auto' , max_iter = 1000 , tol = 0.0001...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNetCV.html -
Feature agglomeration vs. univariate selection ...
n_samples = 200 size = 40 # image size roi_size = 15 snr = 5.0 np...sigma = 1.0 ) . ravel () X -= X . mean ( axis = 0 ) X /= X . std...scikit-learn.org/stable/auto_examples/cluster/plot_feature_agglomeration_vs_univariate_selection.... -
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 -
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 -
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 -
Principal Component Regression vs Partial Least...
mean = [ 0 , 0 ], cov = cov , size = n_samples ) pca = PCA ( n_components...label = f "Component { i } " , linewidth = 5 , color = f "C {...scikit-learn.org/stable/auto_examples/cross_decomposition/plot_pcr_vs_pls.html -
GroupShuffleSplit — scikit-learn 1.6.1 document...
splits=2, random_state=42, test_size=None, train_size=0.7) >>>...n_splits = 5 , * , test_size = None , train_size = None , random_state...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupShuffleSplit.html
