- Sort Score
- Num 10 results
- Language All
- Labels All
Results 941 - 950 of over 10,000 for 2 (0.35 seconds)
-
BayesianRidge — scikit-learn 1.8.0 docume...
[ 2 , 2 ]], [ 0 , 1 , 2 ]) BayesianRidge() >>>...float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...scikit-learn.org/stable/modules/generated/sklearn.linear_model.BayesianRidge.html -
Plot the decision surface of decision trees tra...
2 ], [ 0 , 3 ], [ 1 , 2 ], [ 1 , 3 ], [ 2 , 3 ]]): #...boundary ax = plt . subplot ( 2 , 3 , pairidx + 1 ) plt . tight_layout...scikit-learn.org/stable/auto_examples/tree/plot_iris_dtc.html -
sort_graph_by_row_values — scikit-learn 1...
2. ], ... [ 1. , 2. , 0. ]]) >>>.... data array([3., 1., 3., 2., 1., 2.]) >>> X_ = sort...scikit-learn.org/stable/modules/generated/sklearn.neighbors.sort_graph_by_row_values.html -
Cluster analysis in R - IBM Developer
diag( 2 ) * c( 2 , 1 ))) %>% mutate( class...diag( 2 ) * c( 1 , 3 ))) %>% mutate( class =factor( 2 )) cluster3...developer.ibm.com/tutorials/awb-cluster-analysis-in-r/ -
compute_optics_graph — scikit-learn 1.8.0...
2 ], [ 2 , 5 ], [ 3 , 6 ], ... [ 8...samples (rounded to be at least 2). max_eps float, default=np.inf...scikit-learn.org/stable/modules/generated/sklearn.cluster.compute_optics_graph.html -
Single estimator versus bagging: bias-variance ...
- ( x ** 2 )) + 1.5 * np . exp ( - (( x - 2 ) ** 2 )) def generate...{0} : {1:.4f} (error) = {2:.4f} (bias^2) " " + {3:.4f}...scikit-learn.org/stable/auto_examples/ensemble/plot_bias_variance.html -
Comparison of kernel ridge and Gaussian process...
period of this sine is thus \(2 \pi\) . We will reuse this information..."True signal" , linewidth = 2 ) plt . scatter ( training_data...scikit-learn.org/stable/auto_examples/gaussian_process/plot_compare_gpr_krr.html -
auc — scikit-learn 1.8.0 documentation
2 , 2 ]) >>> y_score = np...y_true , y_score , pos_label = 2 ) >>> metrics . auc (...scikit-learn.org/stable/modules/generated/sklearn.metrics.auc.html -
IsolationForest example — scikit-learn 1....
2 ) @ covariance + np . array ([ 2 , 2 ]) # general...randn ( n_samples , 2 ) + np . array ([ - 2 , - 2 ]) # spherical outliers...scikit-learn.org/stable/auto_examples/ensemble/plot_isolation_forest.html -
OneVsOneClassifier — scikit-learn 1.8.0 d...
X_test [: 10 ]) array([2, 1, 0, 2, 0, 2, 0, 1, 1, 1]) decision_function...n_classes * (n_classes - 1) / 2 classifiers, this method is usually...scikit-learn.org/stable/modules/generated/sklearn.multiclass.OneVsOneClassifier.html