- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 871 - 880 of 3,487 for 1 (0.08 sec)
-
Target Encoder’s Internal Cross fitting — sciki...
reshape ( - 1 , 1 )) # Remove the linear relationship...replace = True ) . reshape ( - 1 , 1 ) Finally, we assemble the dataset...scikit-learn.org/stable/auto_examples/preprocessing/plot_target_encoder_cross_val.html -
Feature importances with a forest of trees — sc...
shape [ 1 ])] forest = RandomForestClassifi...scikit-learn.org/stable/auto_examples/ensemble/plot_forest_importances.html -
explained_variance_score — scikit-learn 1.5.2 d...
1 ], [ - 1 , 1 ], [ 7 , - 6 ]] >>> y_pred...cross-validation). Added in version 1.1. Returns : score float or ndarray...scikit-learn.org/stable/modules/generated/sklearn.metrics.explained_variance_score.html -
Blind source separation using FastICA — scikit-...
array ([[ 1 , 1 , 1 ], [ 0.5 , 2 , 1.0 ], [ 1.5 , 1.0 , 2.0 ]])...models , names ), 1 ): plt . subplot ( 4 , 1 , ii ) plt . title...scikit-learn.org/stable/auto_examples/decomposition/plot_ica_blind_source_separation.html -
Scikit-learn governance and decision-making — s...
“about” page: Requires +1 by a maintainer, no -1 by a maintainer (lazy...changes require +1 by two maintainers, no -1 by a maintainer (lazy...scikit-learn.org/dev/governance.html -
check_X_y — scikit-learn 1.5.2 documentation
ensure_min_samples = 1 , ensure_min_features = 1 , y_numeric = False...>>> X = [[ 1 , 2 ], [ 3 , 4 ], [ 5 , 6 ]] >>> y = [ 1 , 2 , 3 ]...scikit-learn.org/stable/modules/generated/sklearn.utils.check_X_y.html -
nan_euclidean_distances — scikit-learn 1.5.2 do...
6] and [1, na, 4, 5] is: \[\sqrt{\frac{4}{2}((3-1)^2 + (6-5)^2)}\]...float ( "NaN" ) >>> X = [[ 0 , 1 ], [ 1 , nan ]] >>> nan_euclidean_distances...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.nan_euclidean_distances.html -
Logistic Regression 3-class Classifier — scikit...
1 ], c = Y , edgecolors = "k" ,...scikit-learn.org/stable/auto_examples/linear_model/plot_iris_logistic.html -
paired_cosine_distances — scikit-learn 1.5.2 do...
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0 ]] >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.paired_cosine_distances.html -
Effect of transforming the targets in regressio...
subplots ( 1 , 2 ) ax0 . hist ( y , bins =...suptitle ( "Synthetic data" , y = 1.05 ) plt . tight_layout () X_train...scikit-learn.org/stable/auto_examples/compose/plot_transformed_target.html