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888 B
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28 lines
888 B
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===================================================
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Grid Search
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===================================================
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.. currentmodule:: sklearn.grid_search
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Grid Search is used to optimize the parameters of a model
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(e.g. Support Vector Classifier, Lasso, etc.) using cross-validation.
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Main class is :class:`GridSearchCV`.
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Examples
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--------
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See :ref:`example_grid_search_digits.py` for an example of
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Grid Search computation on the digits dataset.
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See :ref:`example_grid_search_text_feature_extraction.py` for an example
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of Grid Search coupling parameters from a text documents feature extractor
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(n-gram count vectorizer and TF-IDF transformer) with a classifier
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(here a linear SVM trained with SGD with either elastic net or L2 penalty).
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Notes
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-----
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Computations can be run in parallel if your OS supports it, by using
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the keyword n_jobs=-1, see function signature for more details.
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