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GaussianRandomProjection — scikit-learn 1.7.0 d...
GaussianRandomProjec ( n_components = 'auto' , * , eps = 0.1 , compute_inverse_components...compute_inverse_components = False , random_state = None ) [source] # Reduce...scikit-learn.org/stable/modules/generated/sklearn.random_projection.GaussianRandomProjection.html -
brier_score_loss — scikit-learn 1.7.0 documenta...
sample_weight = None , pos_label = None , labels = None , scale_by_half...default=None Label of the positive class when y_proba.shape = (n_samples,)...scikit-learn.org/stable/modules/generated/sklearn.metrics.brier_score_loss.html -
fetch_species_distributions — scikit-learn 1.7....
data_home = None , download_if_missing = True , n_retries = 3 , delay...delay = 1.0 ) [source] # Loader for species distribution dataset...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_species_distributions.html -
euclidean_distances — scikit-learn 1.7.0 docume...
Y = None , * , Y_norm_squared = None , squared = False ,..., X_norm_squared = None ) [source] # Compute the distance matrix...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.euclidean_distances.html -
make_sparse_spd_matrix — scikit-learn 1.7.0 doc...
make_sparse_spd_matrix ( n_dim = 1 , * , alpha = 0.95 , norm_diag = False , smallest_coef...smallest_coef = 0.1 , largest_coef = 0.9 , sparse_format = None , random_state...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_sparse_spd_matrix.html -
Pipeline ANOVA SVM — scikit-learn 1.7.0 documen...
n_informative = 3 , n_redundant = 0 , n_classes = 2 , n_clusters_per_class...anova_filter = SelectKBest ( f_classif , k = 3 ) clf = LinearSVC...scikit-learn.org/stable/auto_examples/feature_selection/plot_feature_selection_pipeline.html -
databaseInfoMap | DBFlute
variousMap = map: { ; columnExceptMap = map :{ ; GENMAI = list:{...db?allowPublicKeyRetrie=true&sslMode=DISABLED ... } catalog ...dbflute.seasar.org/ja/manual/reference/dfprop/databaseinfo/ -
MultiOutputRegressor — scikit-learn 1.7.0 docum...
y = load_linnerud ( return_X_y = True ) >>> regr = MultiOutputRegressor...MultiOutputRegressor ( estimator , * , n_jobs = None ) [source] # Multi target...scikit-learn.org/stable/modules/generated/sklearn.multioutput.MultiOutputRegressor.html -
OAS — scikit-learn 1.7.0 documentation
multivariate_normal ( mean = [ 0 , 0 ], ... cov = real_cov , ... size = 500 ) >>>...comp_cov , norm = 'frobenius' , scaling = True , squared = True ) [source]...scikit-learn.org/stable/modules/generated/sklearn.covariance.OAS.html -
SVM-Anova: SVM with univariate feature selectio...
score_means = list () score_stds = list () percentiles = ( 1 , 3...import load_iris X , y = load_iris ( return_X_y = True ) # Add non-informative...scikit-learn.org/stable/auto_examples/svm/plot_svm_anova.html