- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 3541 - 3550 of 4,759 for * (0.33 sec)
-
EstimatorCheckFailedWarning — scikit-learn 1.7....
sklearn.exceptions. EstimatorCheckFailed ( * , estimator , check_name...check_name : str , exception : Exception , status : str , expected_to_fail...scikit-learn.org/stable/modules/generated/sklearn.exceptions.EstimatorCheckFailedWarning.html -
Visualizing the probabilistic predictions of a ...
. scatter ( X [ "Feature #0" ], X [ "Feature #1" ], c = y , **...model" , clf1 ), ( "periodic splines model" , clf2 ), ( "nystroem...scikit-learn.org/stable/auto_examples/ensemble/plot_voting_decision_regions.html -
Adjustment for chance in clustering performance...
. rand_score ), ( "ARI" , metrics . adjusted_rand_score ), (...( "MI" , metrics . mutual_info_score ), ( "NMI" , metrics . n...scikit-learn.org/stable/auto_examples/cluster/plot_adjusted_for_chance_measures.html -
Principal Component Regression vs Partial Least...
} " , ) plt . gca () . set ( aspect = "equal" , title = "2-dimensional...scatter ( X [:, 0 ], X [:, 1 ], alpha = 0.3 , label = "samples" ) for...scikit-learn.org/stable/auto_examples/cross_decomposition/plot_pcr_vs_pls.html -
GMM covariances — scikit-learn 1.7.1 documentation
bottom = 0.01 , top = 0.95 , hspace = 0.15 , wspace = 0.05 , left...v = 2.0 * np . sqrt ( 2.0 ) * np . sqrt ( v ) ell = mpl . patches...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_covariances.html -
L1 Penalty and Sparsity in Logistic Regression ...
enumerate ( zip (( 1 , 0.1 , 0.01 ), axes )): # Increase tolerance...LogisticRegression ( C = C , penalty = "l1" , tol = 0.01 , solver = "saga"...scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_l1_l2_sparsity.html -
Joint feature selection with multi-task Lasso —...
center" ) plt . axis ( "tight" ) plt . ylim ([ - 1.1 , 1.1 ]) plt...Task)" ) plt . text ( 10 , 5 , "Lasso" ) plt . subplot ( 1 , 2...scikit-learn.org/stable/auto_examples/linear_model/plot_multi_task_lasso_support.html -
Logistic function — scikit-learn 1.7.1 document...
range ( - 5 , 10 )) plt . yticks ([ 0 , 0.5 , 1 ]) plt . ylim ( -...- 0.25 , 1.25 ) plt . xlim ( - 4 , 10 ) plt . legend ( loc = "lower...scikit-learn.org/stable/auto_examples/linear_model/plot_logistic.html -
Incremental PCA — scikit-learn 1.7.1 documentation
scatterpoints = 1 ) plt . axis ([ - 4 , 4 , - 1.5 , 1.5 ]) plt . show ()...X_ipca , "Incremental PCA" ), ( X_pca , "PCA" )]: plt . figure ( figsize...scikit-learn.org/stable/auto_examples/decomposition/plot_incremental_pca.html -
Gaussian Process for Machine Learning — scikit-...
module. Ability of Gaussian process regression (GPR) to estimate...noise-level Ability of Gaussian process regression (GPR) to estimate...scikit-learn.org/stable/auto_examples/gaussian_process/index.html