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test.go
Sprintf("%s: %s", d.Title, d.Content) } func...{ fmt.Printf("Searching for: %s\n", query) // Lorem ipsum implementation...raw.githubusercontent.com/codelibs/fess-testdata/master/files/source_code/test.go -
cross_validation.rst.txt
print("%s %s" % (train, test)) [2 3] [0 1]...in rkf.split(X): ... print("%s %s" % (train, test)) ... [2 3]...scikit-learn.org/stable/_sources/modules/cross_validation.rst.txt -
plot_release_highlights_1_8_0.rst.txt
match(/^rgb\s*\(\s*(\d+)\s*,\s*(\d+)\s*,\s*(\d+)\s*\)\s*$/i); if...c=S_color, s=50, alpha=0.8) ax1.set_title("Original S-curve samples",...scikit-learn.org/stable/_sources/auto_examples/release_highlights/plot_release_highlights_1_8_0.r... -
linear_model.rst.txt
" S. J. Kim, K. Koh, M. Lustig, S. Boyd and D. Gorinevsky,...Least Squares," S. J. Kim, K. Koh, M. Lustig, S. Boyd and D. Gorinevsky,...scikit-learn.org/stable/_sources/modules/linear_model.rst.txt -
plot_kmeans_digits.rst.txt
3f}s\t{:.0f}\t{:.3f}\t{:.3f}\t{:.3...centroids[:, 1], marker="x", s=169, linewidths=3, color="w",...scikit-learn.org/stable/_sources/auto_examples/cluster/plot_kmeans_digits.rst.txt -
v1.7.rst.txt
By :user:`Marie S. <MarieSacksick>` :pr:`30179`...By :user:`Vasco Pereira <vasco-s-pereira>`. :pr:`31107` :mod:`...scikit-learn.org/stable/_sources/whats_new/v1.7.rst.txt -
plot_pca_iris.rst.txt
s=40, ) ax.set( title="First three...scikit-learn.org/stable/_sources/auto_examples/decomposition/plot_pca_iris.rst.txt -
plot_discretization_strategies.rst.txt
set_title("strategy='%s'" % (strategy,), size=14) i +=...scikit-learn.org/stable/_sources/auto_examples/preprocessing/plot_discretization_strategies.rst.txt -
feature_extraction.rst.txt
constructor:: >>> def my_tokenizer(s): ... return s.split() ... >>> vectorizer...Using the ``TfidfTransformer``'s default settings, ``TfidfTransformer(norm='l2',...scikit-learn.org/stable/_sources/modules/feature_extraction.rst.txt -
clustering.rst.txt
k) \leftarrow s(i, k) - max [ a(i, k') + s(i, k') \forall k'...Coefficient *s* for a single sample is then given as: .. math:: s = \frac{b...scikit-learn.org/stable/_sources/modules/clustering.rst.txt