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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 -
"The noise of being online was becoming almost ...
posted by d-no at 1:05 PM on May 8 [ 1 favorite...www.metafilter.com/203638/The-noise-of-being-online-was-becoming-almost-too-much-for-even-me -
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 -
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 -
Supervised learning: predicting an output varia...
to be less than some value \(d\) , which depends on the problem....requires on average \(n \sim 1/d\) points. In the context of the...scikit-learn.org/stable/tutorial/statistical_inference/supervised_learning.html -
sklearn.metrics.ConfusionMatrixDisplay — scikit...
the format specification is ‘d’ or ‘.2g’ whichever is shorter....the format specification is ‘d’ or ‘.2g’ whichever is shorter....scikit-learn.org/stable/modules/generated/sklearn.metrics.ConfusionMatrixDisplay.html -
MeFi Nonprofit Update, April 30, 2024 | MetaTalk
I'd like to recommend that the notice...NotLost running for office (I'd vote for her!). I had to rearrange...metatalk.metafilter.com/26437/MeFi-Nonprofit-Update-April-30-2024 -
sklearn.cluster.kmeans_plusplus — scikit-learn ...
D. and Vassilvitskii, S. “k-means++:...scikit-learn.org/stable/modules/generated/sklearn.cluster.kmeans_plusplus.html -
sklearn.cluster.SpectralClustering — scikit-lea...
Euclidean distance d(X, X) : np . exp ( - gamma * d ( X , X ) ** 2...scikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralClustering.html -
sklearn.neural_network.BernoulliRBM — scikit-le...
this implementation is O(d ** 2) assuming d ~ n_features ~ n_components....scikit-learn.org/stable/modules/generated/sklearn.neural_network.BernoulliRBM.html