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permutation_test_score — scikit-learn 1.7.2 doc...
groups = None , cv = None , n_permutations = 100 , n_jobs = None...random_state = 0 , verbose = 0 , scoring = None , fit_params = None ,...scikit-learn.org/stable/modules/generated/sklearn.model_selection.permutation_test_score.html -
fetch_20newsgroups — scikit-learn 1.7.2 documen...
download_if_missing = True , return_X_y = False , n_retries = 3 , delay = 1.0...data_home = None , subset = 'train' , categories = None , shuffle...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_20newsgroups.html -
pairwise_distances_chunked — scikit-learn 1.7.2...
Y = None , * , reduce_func = None , metric = 'euclidean'...'euclidean' , n_jobs = None , working_memory = None , ** kwds ) [source]...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances_chunked.html -
RidgeCV — scikit-learn 1.7.2 documentation
scoring = None , cv = None , gcv_mode = None , store_cv_results...X , y = load_diabetes ( return_X_y = True ) >>> clf = RidgeCV...scikit-learn.org/stable/modules/generated/sklearn.linear_model.RidgeCV.html -
Lars — scikit-learn 1.7.2 documentation
fit_intercept = True , verbose = False , precompute = 'auto' , n_nonzero_coefs...6) , copy_X = True , fit_path = True , jitter = None , random_state...scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lars.html -
minmax_scale — scikit-learn 1.7.2 documentation
feature_range = (0, 1) , * , axis = 0 , copy = True ) [source]...by (when axis=0 ): X_std = ( X - X . min ( axis = 0 )) / ( X ....scikit-learn.org/stable/modules/generated/sklearn.preprocessing.minmax_scale.html -
Various Agglomerative Clustering on a 2D embedd...
X_red [ y == digit ] . T , marker = f "$ { digit } $" , s = 50 , c...title = None ): x_min , x_max = np . min ( X_red , axis = 0 ),...scikit-learn.org/stable/auto_examples/cluster/plot_digits_linkage.html -
1.10. Decision Trees — scikit-learn 1.7.2 docum...
>>> X = [[ 0 , 0 ], [ 1 , 1 ]] >>> Y = [ 0 , 1 ] >>> clf = tree...filled = True , rounded = True , ... special_characters = True...scikit-learn.org/stable/modules/tree.html -
export_text — scikit-learn 1.7.2 documentation
feature_names = None , class_names = None , max_depth = 10 , spacing...spacing = 3 , decimals = 2 , show_weights = False ) [source] # Build...scikit-learn.org/stable/modules/generated/sklearn.tree.export_text.html -
2.3. Clustering — scikit-learn 1.7.2 documentation
V)]=\sum_{i=1}^{|U|} \sum_{j=1}^{|V|} \sum_{n_{ij}=(a_i+b_j-N)^+...assign_labels="kmeans" assign_labels="discretize" assign_labels="cluster_qr"...scikit-learn.org/stable/modules/clustering.html