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PoissonRegressor — scikit-learn 1.7.0 documenta...
predict ([[ 1 , 1 ], [ 3 , 4 ]]) array([10.676,...PoissonRegressor ( * , alpha = 1.0 , fit_intercept = True , solver...scikit-learn.org/stable/modules/generated/sklearn.linear_model.PoissonRegressor.html -
PLSRegression — scikit-learn 1.7.0 documentation
1 , - 0.2 ], [ 0.9 , 1.1 ], [ 6.2 , 5.9 ],...intercept_ . Added in version 1.1. n_iter_ list of shape (n_components,)...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSRegression.html -
Kernel Density Estimate of Species Distribution...
subplot ( 1 , 2 , i + 1 ) # construct a kernel density...Returns ------- (xgrid, ygrid) : 1-D arrays The grid corresponding...scikit-learn.org/stable/auto_examples/neighbors/plot_species_kde.html -
VarianceThreshold — scikit-learn 1.7.0 document...
1 , 4 , 3 ], [ 0 , 1 , 1 , 3 ]] >>> selector...fit_transform ( X ) array([[2, 0], [1, 4], [1, 1]]) fit ( X , y = None )...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.VarianceThreshold.html -
TheilSenRegressor — scikit-learn 1.7.0 document...
since version 1.6: copy_X was deprecated in 1.6 and will be removed...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.linear_model.TheilSenRegressor.html -
Ridge coefficients as a function of the L2 Regu...
random_state = 1 ) # Obtain the true coefficients...fig , axs = plt . subplots ( 1 , 2 , figsize = ( 20 , 6 )) coefs...scikit-learn.org/stable/auto_examples/linear_model/plot_ridge_coeffs.html -
PLSSVD — scikit-learn 1.7.0 documentation
1 , - 0.2 ], ... [ 0.9 , 1.1 ], ... [ 6.2 , 5.9...np . array ([[ 0. , 0. , 1. ], ... [ 1. , 0. , 0. ], ... [ 2. ,...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSSVD.html -
Examples — scikit-learn 1.7.0 documentation
scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Release Highlights...scikit-learn 1.7 Release Highlights for scikit-learn 1.7 Release...scikit-learn.org/stable/auto_examples/index.html -
oas — scikit-learn 1.7.0 documentation
References [ 1 ] ( 1 , 2 ) “Shrinkage algorithms...The regularised covariance is: (1 - shrinkage) * cov + shrinkage...scikit-learn.org/stable/modules/generated/oas-function.html -
LassoLarsCV — scikit-learn 1.7.0 documentation
means 1 unless in a joblib.parallel_backend context. -1 means...optimization objective for Lasso is: ( 1 / ( 2 * n_samples )) * || y -...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLarsCV.html