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Species distribution modeling — scikit-le...
subplot ( 1 , 2 , i + 1 ) if basemap : print ( "...Returns ------- (xgrid, ygrid) : 1-D arrays The grid corresponding...scikit-learn.org/stable/auto_examples/applications/plot_species_distribution_modeling.html -
Multi-class AdaBoosted Decision Trees — s...
as depicted by Figure 1 in Zhu et al [ 1 ] . The core principle...trees" : range ( 1 , n_estimators + 1 ), "AdaBoost"...scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_multiclass.html -
Prediction Latency — scikit-learn 1.8.0 d...
1 , verbose = False ): """Generate...configuration , duration_secs = 0.1 ): """benchmark...scikit-learn.org/stable/auto_examples/applications/plot_prediction_latency.html -
Faces recognition example using eigenfaces and ...
1 )[ - 1 ] true_name = target_names.... rsplit ( " " , 1 )[ - 1 ] return "predicted:...scikit-learn.org/stable/auto_examples/applications/plot_face_recognition.html -
Regularization path of L1- Logistic Regression ...
1 , 16 ) Create a pipeline with...LogisticRegression ( l1_ratio = 1 , solver = "liblinear"...scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_path.html -
RegressorTags — scikit-learn 1.8.0 docume...
n_informative=1, bias=5.0, noise=20, random_state=42)...scikit-learn.org/stable/modules/generated/sklearn.utils.RegressorTags.html -
SVM: Maximum margin separating hyperplane ̵...
levels = [ - 1 , 0 , 1 ], alpha = 0.5 , linestyles...support_vectors_ [:, 1 ], s = 100 , linewidth = 1 , facecolors = "none"...scikit-learn.org/stable/auto_examples/svm/plot_separating_hyperplane.html -
NotFittedError — scikit-learn 1.8.0 docum...
predict ([[ 1 , 2 ], [ 2 , 3 ], [ 3 , 4 ]])...scikit-learn.org/stable/modules/generated/sklearn.exceptions.NotFittedError.html -
Multiclass Receiver Operating Characteristic (R...
1 ], [ 0 , 1 ], "k--" , label...xlim = ( - 0.01 , 1.01 ), ylim = ( - 0.01 , 1.01 ), ) We confirm...scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html -
safe_mask — scikit-learn 1.8.0 documentation
>>> data = csr_matrix ([[ 1 ], [ 2 ], [ 3 ], [ 4 ], [ 5 ]])...scikit-learn.org/stable/modules/generated/sklearn.utils.safe_mask.html