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check_is_fitted — scikit-learn 1.8.0 documentation
fit ([[ 1 , 2 ], [ 1 , 3 ]], [ 1 , 0 ]) LogisticRegression()...scikit-learn.org/stable/modules/generated/sklearn.utils.validation.check_is_fitted.html -
Imputing missing values before building an esti...
True ) mses_diabetes [ 1 ], stds_diabetes [ 1 ] = get_score ( X_miss_diabetes...mses_california [ 1 ], stds_california [ 1 ] = get_score ( X_miss_california...scikit-learn.org/stable/auto_examples/impute/plot_missing_values.html -
Early stopping in Gradient Boosting — scikit-le...
axes [ 1 ] . set_xlabel ( "Boosting Iterations" ) axes [ 1 ] . set_ylabel...(Validation)" ) axes [ 1 ] . set_yscale ( "log" ) axes [ 1 ] . legend ()...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_early_stopping.html -
GammaRegressor — scikit-learn 1.8.0 documentation
alpha = 1.0 , fit_intercept = True , solver...Parameters : alpha float, default=1 Constant that multiplies the L2...scikit-learn.org/stable/modules/generated/sklearn.linear_model.GammaRegressor.html -
Outlier detection with Local Outlier Factor (LO...
n_neighbors ) is typically set 1) greater than the minimum number...ground_truth [ - n_outliers :] = - 1 Fit the model for outlier detection...scikit-learn.org/stable/auto_examples/neighbors/plot_lof_outlier_detection.html -
PLSSVD — scikit-learn 1.8.0 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 -
DetCurveDisplay — scikit-learn 1.8.0 documentation
y_true is in {-1, 1} or {0, 1}, pos_label is set to 1, otherwise...version 1.8: y_pred is deprecated and will be removed in 1.10. Use...scikit-learn.org/stable/modules/generated/sklearn.metrics.DetCurveDisplay.html -
precision_recall_fscore_support — scikit-learn ...
beta = 1.0 , labels = None , pos_label = 1 , average = None...score reaches its best value at 1 and worst score at 0. The F-beta...scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_recall_fscore_support.html -
KernelRidge — scikit-learn 1.8.0 documentation
alpha = 1.0 ) >>> krr . fit ( X , y ) KernelRidge(alpha=1.0) fit...sklearn.kernel_ridge. KernelRidge ( alpha = 1 , * , kernel = 'linear' , gamma...scikit-learn.org/stable/modules/generated/sklearn.kernel_ridge.KernelRidge.html -
GridSearchCV — scikit-learn 1.8.0 documentation
means 1 unless in a joblib.parallel_backend context. -1 means...0.70 … 4 ‘rbf’ 0.1 – 0.80 … 3 ‘rbf’ 0.2 – 0.93 … 1 will be represented...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html