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Isotonic Regression — scikit-learn 1.7.2 docume...
check_random_state n = 100 x = np . arange ( n ) rs = check_random_state...models: ir = IsotonicRegression ( out_of_bounds = "clip" ) y_ = ir ....scikit-learn.org/stable/auto_examples/miscellaneous/plot_isotonic_regression.html -
LabelPropagation — scikit-learn 1.7.2 documenta...
LabelPropagation ( kernel = 'rbf' , * , gamma = 20 , n_neighbors = 7 , max_iter...max_iter = 1000 , tol = 0.001 , n_jobs = None ) [source] # Label Propagation...scikit-learn.org/stable/modules/generated/sklearn.semi_supervised.LabelPropagation.html -
glossary.rst.txt
_glossary: ========== Glossary of Common Terms and API Elements ==========...props`. General Concepts ========== .. glossary:: 1d 1d array...scikit-learn.org/stable/_sources/glossary.rst.txt -
1.12. Multiclass and multioutput algorithms — s...
n_informative = 30 , n_classes = 3 , ... random_state = 1 ) >>> y2 = shuffle..., y = datasets . load_iris ( return_X_y = True ) >>> clf = OutputCodeClassifier...scikit-learn.org/stable/modules/multiclass.html -
load_svmlight_files — scikit-learn 1.7.2 docume...
zero_based='auto' , query_id=False , offset=0 , length=-1 ) [source]...n_features=None , dtype=<class 'numpy.float64'> , multilabel=False...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_svmlight_files.html -
styles-v1.css
vg width="18" height="18" viewBox="0 0 18 18" fill="none" xm...;charset=utf-8,%3Csvg width='16' height='16' xmlns='http://www.w3.org/2000/svg'...www.elastic.co/guide/static/styles-v1.css -
Extract custom fields using web crawler and pro...
<meta class="elastic" name="product_price" content="99.99"> </head>...http = require("http"), connect = require("connect"), app = connect(),...www.elastic.co/guide/en/app-search/current/crawl-custom-fields-proxy.html -
GaussianRandomProjection — scikit-learn 1.7.2 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 1.7.2 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 -
1.8. Cross decomposition — scikit-learn 1.7.2 d...
transformed(X) = XU and transformed(Y) = YV . If n_components == 1 , PLSSVD...\(\Omega = \alpha \Xi\) . Then, we have \(Y = \Omega \Delta^T = \alpha...scikit-learn.org/stable/modules/cross_decomposition.html