- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 481 - 490 of 4,632 for * (2.4 sec)
-
BaggingRegressor — scikit-learn 1.7.2 documenta...
n_estimators = 10 , * , max_samples = 1.0 , max_features = 1.0 , bootstrap...databases and on-line”, Machine Learning, 36(1), 85-103, 1999. [ 2 ] L....scikit-learn.org/stable/modules/generated/sklearn.ensemble.BaggingRegressor.html -
mean_squared_error — scikit-learn 1.7.2 documen...
1 , 1 ],[ 7 , - 6 ]] >>> y_pred = [[ 0 , 2 ],[ - 1 , 2 ],[ 8...y_pred , multioutput = [ 0.3 , 0.7 ]) 0.825... Gallery examples # Model...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_squared_error.html -
hinge_loss — scikit-learn 1.7.2 documentation
array([-2.18, 2.36, 0.09]) >>> hinge_loss ([ - 1 , 1 , 1 ], pred_decision...array ([ 0 , 1 , 2 , 3 ]) >>> labels = np . array ([ 0 , 1 , 2 , 3...scikit-learn.org/stable/modules/generated/sklearn.metrics.hinge_loss.html -
mean_absolute_error — scikit-learn 1.7.2 docume...
= [ 3 , - 0.5 , 2 , 7 ] >>> y_pred = [ 2.5 , 0.0 , 2 , 8 ] >>>..., 1 ], [ 7 , - 6 ]] >>> y_pred = [[ 0 , 2 ], [ - 1 , 2 ], [ 8...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_absolute_error.html -
auc — scikit-learn 1.7.2 documentation
0.1 , 0.4 , 0.35 , 0.8 ]) >>> fpr , tpr , thresholds = metrics...np . array ([ 1 , 1 , 2 , 2 ]) >>> y_score = np . array ([ 0.1...scikit-learn.org/stable/modules/generated/sklearn.metrics.auc.html -
RandomForestClassifier — scikit-learn 1.7.2 doc...
from 10 to 100 in 0.22. criterion {“gini”, “entropy”, “log_loss”},...provided. max_features {“sqrt”, “log2”, None}, int or float, default=”sqrt”...scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html -
enet_path — scikit-learn 1.7.2 documentation
true_coef array([ 0. , 0. , 0. , 97.9, 45.7]) >>> alphas , estimated_coef...sklearn.linear_model. enet_path ( X , y , * , l1_ratio = 0.5 , eps = 0.001 , n_alphas...scikit-learn.org/stable/modules/generated/sklearn.linear_model.enet_path.html -
ExtraTreesClassifier — scikit-learn 1.7.2 docum...
from 10 to 100 in 0.22. criterion {“gini”, “entropy”, “log_loss”},...provided. max_features {“sqrt”, “log2”, None}, int or float, default=”sqrt”...scikit-learn.org/stable/modules/generated/sklearn.ensemble.ExtraTreesClassifier.html -
spectral_clustering — scikit-learn 1.7.2 docume...
array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7 ], [ 3 , 5 ],...array([1, 1, 1, 0, 0, 0]) Gallery examples # Segmenting the picture...scikit-learn.org/stable/modules/generated/sklearn.cluster.spectral_clustering.html -
ComplementNB — scikit-learn 1.7.2 documentation
size = ( 6 , 100 )) >>> y = np . array ([ 1 , 2 , 3 , 4 , 5 , 6 ])...models. References Rennie, J. D., Shih, L., Teevan, J., & Karger,...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.ComplementNB.html