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3.4. Metrics and scoring: quantifying the quali...
g. in a kaggle competition or in...deterministic function \(Y = g(X)\) of the features \(X\) . Instead,...scikit-learn.org/stable/modules/model_evaluation.html -
Rahm Emanuel confronts 'awkward' prospect of fa...
www.nbcnews.com/politics/2028-election/rahm-emanuel-confronts-awkward-prospect-facing-home-state-... -
Barton Springs - Wikipedia
en.wikipedia.org/wiki/Barton_Springs -
BernoulliNB — scikit-learn 1.7.0 documentation
Androutsopoulos and G. Paliouras (2006). Spam filtering...sub-estimator of a meta-estimator, e.g. used inside a Pipeline . Otherwise...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.BernoulliNB.html -
About us — scikit-learn 1.7.0 documentation
scikit-learn.org/stable/about.html -
Better Binary Quantization (BBQ) in Lucene and ...
visualization q V e c B i t s = a l i g n ( b i t s ( Q ( v c 1 ′ ) )...visualization q V ec B i t s = a l i g n ( bi t s ( Q ( v c 1 ′ ))) =...www.elastic.co/search-labs/blog/better-binary-quantization-lucene-elasticsearch -
1.11. Ensembles: Gradient boosting, random fore...
We will denote it by \(g_i\) . Removing the constant terms,...\arg\min_{h} \sum_{i=1}^{n} h(x_i) g_i\] This is minimized if \(h(x_i)\)...scikit-learn.org/stable/modules/ensemble.html -
1.12. Multiclass and multioutput algorithms — s...
scikit-learn.org/stable/modules/multiclass.html -
auto_examples_python.zip
7)) G = gridspec.GridSpec(2, 3) ax1 = plt.subplot(G[0, :])...ax2 = plt.subplot(G[1, 0]) ax3 = plt.subplot(G[1, 1]) ax4 = plt.subplot(G[1,...scikit-learn.org/stable/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip -
MetaFilter Projects
ModKos G/PG. This is a true pop culture...projects.metafilter.com