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type_of_target — scikit-learn 1.7.1 documentation
1 , - 1 , 1 ]) 'binary' >>> type_of_target ([ 'a' , 'b' , 'a'...np . array ([[ 1.5 , 2.0 ], [ 3.0 , 1.6 ]])) 'continuous-multioutput'...scikit-learn.org/stable/modules/generated/sklearn.utils.multiclass.type_of_target.html -
normalize — scikit-learn 1.7.1 documentation
array([[-0.4, 0.2, 0.4], [-0.5, 0. , 0.5]]) >>> normalize ( X , norm =...array([[-0.67, 0.33, 0.67], [-0.71, 0. , 0.71]]) On this page This Page...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.normalize.html -
load_svmlight_files — scikit-learn 1.7.1 docume...
each (see https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/data...zero_based='auto' , query_id=False , offset=0 , length=-1 ) [source]...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_svmlight_files.html -
ward_tree — scikit-learn 1.7.1 documentation
], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2 ], [ 4 , 4 ], [ 4 , 0 ]])...ward_tree ( X ) >>> children array([[0, 1], [3, 5], [2, 6], [4, 7],...scikit-learn.org/stable/modules/generated/sklearn.cluster.ward_tree.html -
make_sparse_uncorrelated — scikit-learn 1.7.1 d...
~ N ( 0 , 1 ) y ( X ) = X [:, 0 ] + 2 * X [:, 1 ] - 2 * X [:,...X . shape (100, 10) >>> y . shape (100,) On this page This Page...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_sparse_uncorrelated.html -
sklearn.cluster — scikit-learn 1.7.1 documentation
density-based clustering. KMeans K-Means clustering. MeanShift...kernel. MiniBatchKMeans Mini-Batch K-Means clustering. OPTICS...scikit-learn.org/stable/api/sklearn.cluster.html -
OutlierMixin — scikit-learn 1.7.1 documentation
estimator . fit_predict ( X ) array([1., 1., 1.]) fit_predict ( X ,...True ... return self ... def predict ( self , X ): ... return...scikit-learn.org/stable/modules/generated/sklearn.base.OutlierMixin.html -
ClusterMixin — scikit-learn 1.7.1 documentation
fit_predict ( X ) array([1, 1, 1]) fit_predict ( X , y = None , ** kwargs...BaseEstimator ): ... def fit ( self , X , y = None ): ... self . labels_...scikit-learn.org/stable/modules/generated/sklearn.base.ClusterMixin.html -
AdditiveChi2Sampler — scikit-learn 1.7.1 docume...
X_transformed , y ) 0.9499... fit ( X , y = None ) [source] # Only validates...random_state = 0 , tol = 1e-3 ) >>> clf . fit ( X_transformed , y ) SGD...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.AdditiveChi2Sampler.html -
top_k_accuracy_score — scikit-learn 1.7.1 docum...
0.5 , 0.2 , 0.2 ], # 0 is in top 2 ... [ 0.3 , 0.4 , 0.2 ], #...# 1 is in top 2 ... [ 0.2 , 0.4 , 0.3 ], # 2 is in top 2 ......scikit-learn.org/stable/modules/generated/sklearn.metrics.top_k_accuracy_score.html