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Probability Calibration curves — scikit-learn 1...
add_subplot ( gs [: 2 , : 2 ]) calibration_displays = {}...histogram grid_positions = [( 2 , 0 ), ( 2 , 1 ), ( 3 , 0 ), ( 3 ,...scikit-learn.org/stable/auto_examples/calibration/plot_calibration_curve.html -
Overview of multiclass training meta-estimators...
code_size = 2 ) cv_results_tree = cross_validate..., X , y , cv = cv , n_jobs = 2 ) cv_results_ovo = cross_validate...scikit-learn.org/stable/auto_examples/multiclass/plot_multiclass_overview.html -
Multi-dimensional scaling — scikit-learn 1.7.0 ...
X_true ** 2 ) . sum ()) / np . sqrt (( X_nmds ** 2 ) . sum ())...X_true = rng . randint ( 0 , 20 , 2 * n_samples ) . astype ( float...scikit-learn.org/stable/auto_examples/manifold/plot_mds.html -
Tweedie regression on insurance claims — scikit...
9900 2.015718e+02 2.015412e+02 2.015342e+02 2.015600e+02...abs. error 2.730129e+02 2.722124e+02 2.740176e+02 2.731633e+02...scikit-learn.org/stable/auto_examples/linear_model/plot_tweedie_regression_insurance_claims.html -
KernelCenterer — scikit-learn 1.7.0 documentation
- 2. , 2. ], ... [ - 2. , 1. , 3. ], ... [ 4. , 1. , - 2. ]]...K array([[ 9., 2., -2.], [ 2., 14., -13.], [ -2., -13., 21.]])...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.KernelCenterer.html -
Theil-Sen Regression — scikit-learn 1.7.0 docum...
Linear model y = 3*x + N(2, 0.1**2) x = np . random . randn (...Linear model y = 3*x + N(2, 0.1**2) x = np . random . randn (...scikit-learn.org/stable/auto_examples/linear_model/plot_theilsen.html -
Version 0.14 — scikit-learn 1.7.0 documentation
Roland 2 Diego Molla 2 Imran Haque 2 Jochen Wersdörfer 2 Sergey...Sergey Karayev 2 Yannick Schwartz 2 jamestwebber 1 Abhijeet Kolhe...scikit-learn.org/stable/whats_new/v0.14.html -
Concentration Prior Type Analysis of Variation ...
normalization eig_vals = 2 * np . sqrt ( 2 ) * np . sqrt ( eig_vals...= 0.8 ) ax1 . set_xlim ( - 2.0 , 2.0 ) ax1 . set_ylim ( - 3.0...scikit-learn.org/stable/auto_examples/mixture/plot_concentration_prior.html -
manhattan_distances — scikit-learn 1.7.0 docume...
2 ], [ 3 , 4 ]], [[ 1 , 2 ], [ 0 , 3 ]]) array([[0., 2.],...]], [[ 2 ]]) array([[1.]]) >>> manhattan_distances ([[ 2 ]], [[...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.manhattan_distances.html -
Ridge coefficients as a function of the L2 Regu...
- X \beta \|^{2}_{2} + \alpha \| \beta \|^{2}_{2}\) where \(X\)...side (e.g. \(\|y - X\beta\|^{2}_{2}\) ) measures the squared difference...scikit-learn.org/stable/auto_examples/linear_model/plot_ridge_coeffs.html