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plot_discretization_strategies.py
8]]) centers_1 = np.array([[0, 0], [3, 1]]) # construct the...len(strategies) + 1, i) ax.scatter(X[:, 0], X[:, 1], edgecolors="k")...scikit-learn.org/stable/_downloads/43e84df0b93ff974da370e8da900f2ee/plot_discretization_strategie... -
clustering.rst.txt
1, 1, 1] >>> labels_pred = [0, 0, 1, 1, 2, 2] >>>...= [0, 0, 0, 1, 1, 1] >>> labels_pred = [0, 0, 1, 1, 2, 2] >>>...scikit-learn.org/stable/_sources/modules/clustering.rst.txt -
b151de5ed873d606.css
e-h3:1.953rem;--font-size-h4:1.563rem;--font-size-h5:1.25rem...;--size-20:1.25rem;--size-22:1.375rem;--size-24:1.5rem;--siz...www.elastic.co/search-labs/_next/static/css/b151de5ed873d606.css -
core.9e1b368ac730a666b470.js
n=new Array(t>1?t-1:0),r=1;r<t;r++)n[r-1]=arguments[r];n....m].concat(n))}},g=(a=!1,c=!1,u=!1,s=!1,function(e){return"cc...www.buzzfeed.com/static-assets/js/core.9e1b368ac730a666b470.js -
plot_classifier_comparison.rst.txt
C=1, random_state=42), GaussianProcessClass(1.0 * RBF(1.0),...max_features=1, random_state=42 ), MLPClassifier(alpha=1, max_iter=1000,...scikit-learn.org/stable/_sources/auto_examples/classification/plot_classifier_comparison.rst.txt -
getting_started.rst.txt
dataset is easy array([1., 1., 1., 1., 1.]) Automatic parameter...ransform(X) array([[-1., 1.], [ 1., -1.]]) Sometimes, you want...scikit-learn.org/stable/_sources/getting_started.rst.txt -
plot_kmeans_digits.ipynb
1].min() - 1, reduced_data[:, 1].max() + 1\nxx, yy =...reduced_data[:, 0].min() - 1, reduced_data[:, 0].max() + 1\ny_min, y_max =...scikit-learn.org/stable/_downloads/6bf322ce1724c13e6e0f8f719ebd253c/plot_kmeans_digits.ipynb -
sphinx-design.min.css
:scale(1.01)}.sd-card-body{-ms-flex:1 1 auto;flex:1 1 auto;padding:1rem...ap}.sd-fs-1,.sd-fs-1>p{font-size:calc(1.375rem + 1.5vw) !imp...scikit-learn.org/stable/_static/sphinx-design.min.css -
Lucene - Elasticsearch Labs
Lucene Vector Database Lucene + 1 September 3, 2025 Vector search...Apache Lucene through our ACORN-1 algorithm implementation. BT By:...www.elastic.co/search-labs/blog/category/lucene -
kNN search in Elasticsearch | Elastic Docs
_score) - 1 max_inner_product : _score < 1 : 1 - (1 / _score)...l2_norm : sqrt((1 / _score) - 1) cosine : (2 * _score) - 1 dot_product...www.elastic.co/docs/solutions/search/vector/knn