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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 -
About us — scikit-learn 1.7.2 documentation
journal = { Journal of Machine Learning Research }, volume = { 12...12 }, pages = { 2825 -- 2830 }, year = { 2011 } } If you want...scikit-learn.org/stable/about.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 -
load_files — scikit-learn 1.7.2 documentation
description = None , categories = None , load_content = True , shuffle...shuffle = True , encoding = None , decode_error = 'strict' , random_state...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_files.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 -
make_sparse_spd_matrix — scikit-learn 1.7.2 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 -
r2_score — scikit-learn 1.7.2 documentation
sample_weight = None , multioutput = 'uniform_average' ,...r2_score >>> y_true = [ 3 , - 0.5 , 2 , 7 ] >>> y_pred = [ 2.5 , 0.0...scikit-learn.org/stable/modules/generated/sklearn.metrics.r2_score.html -
ShrunkCovariance — scikit-learn 1.7.2 documenta...
store_precision = True , assume_centered = False , shrinkage = 0.1 ) [source]...multivariate_normal ( mean = [ 0 , 0 ], ... cov = real_cov , ... size = 500 ) >>>...scikit-learn.org/stable/modules/generated/sklearn.covariance.ShrunkCovariance.html