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cross_validation.rst.txt
12 13 14] [ 2 3 10 15 16 17] [ 1 2 3 8 9 10 12 13 14 15 16 17]...size in question, then 5- or 10- fold cross validation can overestimate...scikit-learn.org/stable/_sources/modules/cross_validation.rst.txt -
linear_model.rst.txt
for example `cv=10` for 10-fold cross-validation, rather...computation 15.7 (2003): 1691-1714. <10.1162/089976603321891864>` Comparison...scikit-learn.org/stable/_sources/modules/linear_model.rst.txt -
feature_selection.rst.txt
selected features: if we have 10 features and ask for 7 selected...scikit-learn.org/stable/_sources/modules/feature_selection.rst.txt -
contributing.rst.txt
10. (**Optional**) Install `pre-commit...with PDF links when possible. 10. The user guide should also include...scikit-learn.org/dev/_sources/developers/contributing.rst.txt -
feature_extraction.rst.txt
For instance a collection of 10,000 short text documents (such...HashingVectorizer(n_features=10) >>> hv.transform(corpus) <4x10...scikit-learn.org/stable/_sources/modules/feature_extraction.rst.txt -
classes.rst.txt
make_hastie_10_2 datasets.make_low_rank_matrix...scikit-learn.org/stable/_sources/modules/classes.rst.txt -
grid_search.rst.txt
10, 100, 1000], 'kernel': ['linear']}, {'C': [1, 10, 100,...{'max_depth': [3, 5, 10], ... 'min_samples_split': [2, 5, 10]} >>> base_estimator...scikit-learn.org/stable/_sources/modules/grid_search.rst.txt -
getting_started.rst.txt
-10]] >>> # scale data according...5), ... 'max_depth': randint(5, 10)} ... >>> # now create a searchCV...scikit-learn.org/stable/_sources/getting_started.rst.txt -
preprocessing.rst.txt
asarray([["a"] * 20 + ["b"] * 10 + ["c"] * 10 + ["d"] * 10], dtype=object).T...ca.pdf>`_ Neural computation 10.5 (1998): 1299-1319. .. _pre...scikit-learn.org/stable/_sources/modules/preprocessing.rst.txt -
ensemble.rst.txt
import make_hastie_10_2 >>> X, y = make_hastie_10_2(random_state=0)...clf.feature_importances_ array([0.10..., 0.10..., 0.11..., ... Note that...scikit-learn.org/stable/_sources/modules/ensemble.rst.txt