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Curve Fitting with Bayesian Ridge Regression — ...
increasing = True ) X_test = np . vander ( x_test , n_order + 1 , increasing...predict ( X_test , return_std = True ) ax . plot ( x_test , func (...scikit-learn.org/stable/auto_examples/linear_model/plot_bayesian_ridge_curvefit.html -
AdaBoostClassifier — scikit-learn 1.7.2 documen...
n_features) Test samples. y array-like of shape...monitoring (i.e. determine error on testing set) after each boosting iteration....scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostClassifier.html -
KNeighborsClassifier — scikit-learn 1.7.2 docum...
or None Test samples. If None , predictions...probability estimates for the test data X. Parameters : X {array-like,...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsClassifier.html -
Single estimator versus bagging: bias-variance ...
( y ) X_test , y_test = generate ( n_samples = n_test , noise...training set n_test = 1000 # Size of the test set noise = 0.1...scikit-learn.org/stable/auto_examples/ensemble/plot_bias_variance.html -
Principal Component Regression vs Partial Least...
X_test , y_train , y_test = train_test_split ( X ,...scatter ( pca . transform ( X_test ), y_test , alpha = 0.3 , label =...scikit-learn.org/stable/auto_examples/cross_decomposition/plot_pcr_vs_pls.html -
7.3. Preprocessing data — scikit-learn 1.7.2 do...
X_test , y_train , y_test = train_test_split ( X ,...score ( X_test , y_test ) # apply scaling on testing data, without...scikit-learn.org/stable/modules/preprocessing.html -
plot_hgbt_regression.ipynb
import train_test_split\n\nX_train, X_test, y_train, y_test = train_test_split(X,...train_test_split(X, y, test_size=0.4, shuffle=False)\n\nprint(f\"Training...scikit-learn.org/stable/_downloads/cb9a8a373677fb481fe43a11d8fa0e94/plot_hgbt_regression.ipynb -
Non-negative least squares — scikit-learn 1.7.2...
import train_test_split X_train , X_test , y_train , y_test = train_test_split...train_test_split ( X , y , test_size = 0.5 ) Fit the Non-Negative...scikit-learn.org/stable/auto_examples/linear_model/plot_nnls.html -
Isotonic Regression — scikit-learn 1.7.2 docume...
plot ( x_test , ir . predict ( x_test ), "C1-" ) ax1 ....noisy data (n= %d )" % n ) x_test = np . linspace ( - 10 , 110...scikit-learn.org/stable/auto_examples/miscellaneous/plot_isotonic_regression.html -
Feature discretization — scikit-learn 1.7.2 doc...
training and test part X_train , X_test , y_train , y_test = train_test_split...and testing points ax . scatter ( X_test [:, 0 ], X_test [:,...scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization_classification.html