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3.2.4.1.5. sklearn.linear_model.LogisticRegressionCV — scikit-learn 0.17 文档
n_jobs : int, optional Number of CPU cores used during the cross-validation loop. If given a value of -1, all cores are used. verbose : int refit : bool If set to True, the scores are averaged across ...
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Installing scikit-learn — scikit-learn 0.17 文档
conda install scikit-learn We don’t recommend installing scipy or numpy using pip on linux, as this will involve a lengthy build-process with many dependencies. Without careful configuration, buildin...
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Examples — scikit-learn 0.17 文档
Applications to real world problems with some medium sized datasets or interactive user interface.
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5. Dataset loading utilities — scikit-learn 0.17 文档
5.7.2. Converting text to vectors¶ In order to feed predictive or clustering models with the text data, one first need to turn the text into vectors of numerical values suitable for statistical analys...
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2.5. Decomposing signals in components (matrix factorization problems) — scikit-learn 0.17 文档
The optional parameter whiten=True parameter make it possible to project the data onto the singular space while scaling each component to unit variance. This is often useful if the models down-stream...