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check_scoring — scikit-learn 1.7.2 documentation
DecisionTreeClassifi () . fit ( X , y ) >>> scoring = { ... "accuracy" : make_scorer...scores {'accuracy': 1.0, 'mean_squared_log_error': 'Traceback ...'}...scikit-learn.org/stable/modules/generated/sklearn.metrics.check_scoring.html -
manhattan_distances — scikit-learn 1.7.2 docume...
manhattan_distances ([[ 1 , 2 ], [ 3 , 4 ]], [[ 1 , 2 ], [ 0 , 3 ]]) array([[0.,...array([[0., 2.], [4., 4.]]) On this page This Page...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.manhattan_distances.html -
sklearn.mixture — scikit-learn 1.7.2 documentation
top Ctrl + K GitHub Choose version sklearn.mixture # Mixture modeling...modeling algorithms. User guide. See the Gaussian mixture models...scikit-learn.org/stable/api/sklearn.mixture.html -
7. Dataset transformations — scikit-learn 1.7.2...
Kernels 7.8.1. Cosine similarity 7.8.2. Linear kernel 7.8.3. Polynomial...estimators 7.1.1. Pipeline: chaining estimators 7.1.2. Transforming...scikit-learn.org/stable/data_transforms.html -
7.4. Imputation of missing values — scikit-lear...
pd . DataFrame ([[ "a" , "x" ], ... [ np . nan , "y" ], ... [...[ "a" , np . nan ], ... [ "b" , "y" ]], dtype = "category" ) ......scikit-learn.org/stable/modules/impute.html -
Comparison between grid search and successive h...
1e-2 , 1e-3 , 1e-4 , 1e-5 , 1e-6 , 1e-7 ] Cs = [ 1 , 10 , 100...set_xticks ( np . arange ( len ( Cs ))) ax . set_xticklabels ([ " {:.0E}...scikit-learn.org/stable/auto_examples/model_selection/plot_successive_halving_heatmap.html -
12.1. Array API support (experimental) — scikit...
array_api_dispatch = True ): ... lda = LinearDiscriminantAn () ... X_trans =...array_api_dispatch = True ): ... lda = LinearDiscriminantAn () ... X_trans =...scikit-learn.org/stable/modules/array_api.html -
ClassNamePrefixFeaturesOutMixin — scikit-learn ...
np . array ([[ 1 , 2 ], [ 3 , 4 ]]) >>> MyEstimator () . fit...fit ( X ) . get_feature_names_out () array(['myestimator0', 'myestimator1'],...scikit-learn.org/stable/modules/generated/sklearn.base.ClassNamePrefixFeaturesOutMixin.html -
clone — scikit-learn 1.7.2 documentation
0 ], [ 0 , 1 ], [ 0 , - 1 ], [ 1 , 0 ]] >>> y = [ 0 , 0 , 1 ,..., 1 ] >>> classifier = LogisticRegression () . fit ( X , y )...scikit-learn.org/stable/modules/generated/sklearn.base.clone.html -
get_config — scikit-learn 1.7.2 documentation
get_config () >>> config . keys () dict_keys([...]) On this page...get_config ( ) [source] # Retrieve the current scikit-learn configuration....scikit-learn.org/stable/modules/generated/sklearn.get_config.html