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CareFREE drumming | MetaFilter
could take up painting fantasy/D&D miniatures again like I did through...could take up painting fantasy/D&D miniatures again like I did through...www.metafilter.com/203447/CareFREE-drumming -
sklearn.gaussian_process.kernels.RBF — scikit-l...
x_j) = \exp\left(- \frac{d(x_i, x_j)^2}{2l^2} \right)\] where...length scale of the kernel and \(d(\cdot,\cdot)\) is the Euclidean...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.RBF.html -
sklearn.feature_extraction.text.TfidfTransforme...
document d in a document set is tf-idf(t, d) = tf(t, d) * idf(t),...Wesley, pp. 68-74. [ MRS2008 ] C.D. Manning, P. Raghavan and H. Schütze...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfTransformer.html -
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 -
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 -
sklearn.decomposition.IncrementalPCA — scikit-l...
the incremental PCA model from: D. Ross, J. Lim, R. Lin, M. Yang,...deemed necessary. References D. Ross, J. Lim, R. Lin, M. Yang....scikit-learn.org/stable/modules/generated/sklearn.decomposition.IncrementalPCA.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 -
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 -
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