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sklearn.feature_extraction.FeatureHasher — scik...
FeatureHasher ( n_features = 10 ) >>> D = [{ 'dog' : 1 , 'cat' : 2 , 'elephant'...5 }] >>> f = h . transform ( D ) >>> f . toarray () array([[...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.FeatureHasher.html -
sklearn.gaussian_process.kernels.Matern — sciki...
\frac{\sqrt{2\nu}}{l} d(x_i , x_j )\Bigg)\] where \(d(\cdot,\cdot)\)...\Bigg( \frac{\sqrt{2\nu}}{l} d(x_i , x_j ) \Bigg)^\nu K_\nu\Bigg(...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Matern.html -
MetaTalk
D&D (and GURPS!) master gamer, funny,...site that could use it. I know I'd find it useful, anyway. posted...metatalk.metafilter.com -
1.10. Decision Trees — scikit-learn 1.4.2 docum...
dataset \(D\) is defined as follows: \[\mathrm{LL}(D, T) = -\frac{1}{n}...y_i) \in D} \sum_k I(y_i = k) \log(T_k(x_i))\] where \(D\) is a...scikit-learn.org/stable/modules/tree.html -
sklearn.metrics.adjusted_rand_score — scikit-le...
FBF01908075 [ Steinley2004 ] D. Steinley, Properties of the Hubert-Arabie...scikit-learn.org/stable/modules/generated/sklearn.metrics.adjusted_rand_score.html -
1.2. Linear and Quadratic Discriminant Analysis...
training sample \(x \in \mathcal{R}^d\) : \[P(y=k | x) = \frac{P(x |...\[P(x | y=k) = \frac{1}{(2\pi)^{d/2} |\Sigma_k|^{1/2}}\exp\left(-\frac{1}{2}...scikit-learn.org/stable/modules/lda_qda.html -
It's sort of like Minority Report, I guess. | M...
Now I wish they'd put it up while I was there --...Virtual Earth, and others). I'd be happy to answer questions about...www.metafilter.com/74346/Its-sort-of-like-Minority-Report-I-guess -
sklearn.cluster.HDBSCAN — scikit-learn 1.4.2 do...
D., & Sander, J. Density-based clustering...2 ] Campello, R. J., Moulavi, D., Zimek, A., & Sander, J. Hierarchical...scikit-learn.org/stable/modules/generated/sklearn.cluster.HDBSCAN.html -
sklearn.gaussian_process.kernels.RationalQuadra...
x_j) = \left( 1 + \frac{d(x_i, x_j)^2 }{ 2\alpha l^2}\right)^{-\alpha}\]...length scale of the kernel and \(d(\cdot,\cdot)\) is the Euclidean...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.RationalQuadratic.html -
sklearn.cluster.kmeans_plusplus — scikit-learn ...
D. and Vassilvitskii, S. “k-means++:...scikit-learn.org/stable/modules/generated/sklearn.cluster.kmeans_plusplus.html