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1.2. Linear and Quadratic Discriminant Analysis...
one given by Ledoit and Wolf’s formula used with shrinkage=”auto”....X_k^tX_k = \frac{1}{n - 1} V S^2 V^t\) where \(V\) comes from...scikit-learn.org/stable/modules/lda_qda.html -
decomposition.rst.txt
compensating for LSA's erroneous assumptions about textual...If we use all the :math:`x_i`'s as columns to form a matrix :math:`\mathbf{X}`...scikit-learn.org/stable/_sources/modules/decomposition.rst.txt -
7.3. Generated datasets — scikit-learn 1.5.0 do...
for manifold learning # make_s_curve ([n_samples, noise, random_state])...random_state]) Generate an S curve dataset. make_swiss_roll ([n_samples,...scikit-learn.org/stable/datasets/sample_generators.html -
6.7. Kernel Approximation — scikit-learn 1.5.0 ...
S. and Vedaldi, A. and Zisserman,...scikit-learn.org/stable/modules/kernel_approximation.html -
2.6. Covariance estimation — scikit-learn 1.5.0...
the estimation of a population’s covariance matrix, which can be...large influence on the estimation’s quality. The sklearn.covariance...scikit-learn.org/stable/modules/covariance.html -
feature_extraction.rst.txt
constructor:: >>> def my_tokenizer(s): ... return s.split() ... >>> vectorizer...particularly fast to process, Python's ``dict`` has the advantages of...scikit-learn.org/stable/_sources/modules/feature_extraction.rst.txt -
pygments.css
s { color: #4e9a06 } /* Literal.String...html[data-theme="dark"] .highlight .s { color: #e6db74 } /* Literal.String...scikit-learn.org/stable/_static/pygments.css -
Popular Favorites | MetaFilter
there's, you know, gravity at work. That's all, really. It's an...through the world. And it’s a question that’s always been difficult...www.metafilter.com/popular.mefi -
slashdotMain
into the state's grid at a rapid clip. The state's electricity system...July's flooding from torrential rains inundated Vermont's capital...rss.slashdot.org/Slashdot/slashdotMain -
2.9. Neural network models (unsupervised) — sci...
S. Osindero, Y.-W. Teh, 2006 “Training...scikit-learn.org/stable/modules/neural_networks_unsupervised.html