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plot_multi_metric_evaluation.rst.txt
sample_score_mean = results["mean_%s_%s" % (sample, scorer)] sample_score_std...sample_score_std = results["std_%s_%s" % (sample, scorer)] ax.fill_between(...scikit-learn.org/stable/_sources/auto_examples/model_selection/plot_multi_metric_evaluation.rst.txt -
model_evaluation.rst.txt
:math:`s`, i.e. :math:`y_s := \left\{(s', l) \in y | s' = s\right\}`...:math:`\frac{1}{\left|S\right|} \sum_{s \in S} P(y_s, \hat{y}_s)` | :math...scikit-learn.org/stable/_sources/modules/model_evaluation.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 -
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 -
index.rst.txt
_developers_guide: ========== Developer's Guide ========== .. toctree::...scikit-learn.org/dev/_sources/developers/index.rst.txt -
governance.rst.txt
that takes place on the project's private mailing list. While it...pull requests in scikit-learn's repository. * **Maintainers Team**...scikit-learn.org/stable/_sources/governance.rst.txt -
about.rst.txt
of consolidating scikit-learn's development and maintenance: .....issues. Instead, please see `What's the best way to ask questions...scikit-learn.org/stable/_sources/about.rst.txt -
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_pca_iris.rst.txt
the Iris dataset ---------- Let's first plot the pairs of features...sepal width and length, there's still overlap between the Versicolor...scikit-learn.org/stable/_sources/auto_examples/decomposition/plot_pca_iris.rst.txt -
feature_extraction.rst.txt
constructor:: >>> def my_tokenizer(s): ... return s.split() ... >>> vectorizer...particularly fast to process, Python's ``dict`` has the advantages of...scikit-learn.org/stable/_sources/modules/feature_extraction.rst.txt