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6.6. Random Projection — scikit-learn 1.5.0 doc...
probability} & 1 - 1 / s \\ +\sqrt{\frac{s}{n_{\text{components}}}}...projected data. If we define s = 1 / density , the elements of...scikit-learn.org/stable/modules/random_projection.html -
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k-o p-s t-z AUTHORS a-e f-j k-o p-s t-z MORE HOME PAGE U.S. NEWS...Map NBC News Logo Sections U.S. News Politics World Local Business...www.nbcnews.com/archive -
Unsupervised learning: seeking representations ...
normal ( size = S . shape ) # Add noise >>> S /= S . std ( axis...tooth signal >>> S = np . c_ [ s1 , s2 , s3 ] >>> S += 0.2 * np ....scikit-learn.org/stable/tutorial/statistical_inference/unsupervised_learning.html -
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Model selection: choosing estimators and their ...
print ( 'Train: %s | test: %s ' % ( train_indices , test_indices...cross-validation. By default the estimator’s score method is used to compute...scikit-learn.org/stable/tutorial/statistical_inference/model_selection.html -
File under: Creative cover man | MetaFilter
2003 I found this site's list of 90's remakes November 15, 1999...the internet revived the world's first work of... | The History...www.metafilter.com/203814/File-under-Creative-cover-man -
4.2. Permutation feature importance — scikit-le...
defined as: \[i_j = s - \frac{1}{K} \sum_{k=1}^{K} s_{k,j}\] 4.2.2....each feature to a fitted model’s statistical performance on a given...scikit-learn.org/stable/modules/permutation_importance.html -
Who lives in a pineapple under the sea? | MetaF...
then die; as Digg’s editors noted in the site’s 2018 SpongeBob retrospective,...ya? - Weenie Hut, Jr.'s - The world's smallest violin - A clever...www.metafilter.com/203549/Who-lives-in-a-pineapple-under-the-sea -
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 -
4.1. Partial Dependence and Individual Conditio...
point \(x_S\) is defined as: \[\begin{split}pd_{X_S}(x_S) &\overset{def}{=}...\mathbb{E}_{X_C}\left[ f(x_S, X_C) \right]\\ &= \int f(x_S, x_C) p(x_C) dx_C,\end{split}\]...scikit-learn.org/stable/modules/partial_dependence.html