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glossary.rst.txt
common tests This refers to the tests run on almost every...``(train_idx, test_idx)`` pairs. Each of {train,test}_idx is a 1d...scikit-learn.org/stable/_sources/glossary.rst.txt -
test.java
test.javapackage com.foo.bar; public class Test { public String...String test="Lorem ipsum. (ロレム・イプサム) 吾輩は猫である。"; } 5...raw.githubusercontent.com/codelibs/fess-testdata/master/source_code/test.java -
getting_started.rst.txt
X_test, y_train, y_test = train_test_split(X, y, random_state=0)...>>> X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=0)...scikit-learn.org/stable/_sources/getting_started.rst.txt -
test.h
// Lorem ipsum. (ロレム・イプサム) 吾輩は猫である。 typedef int & Integer;raw.githubusercontent.com/codelibs/fess-testdata/master/source_code/test.h -
whats_new.rst.txt
.. currentmodule:: sklearn .. include:: whats_new/_contributors.rst Release History ========== Changelogs and release notes for all scikit-learn releases are linked in this page. .. tip:: `Subscrib...scikit-learn.org/stable/_sources/whats_new.rst.txt -
index.rst.txt
rst text_analytics/working_with_text_data.rst mach...scikit-learn.org/stable/_sources/tutorial/index.rst.txt -
ensemble.rst.txt
train_test_split >>> X_train, X_test, y_train, y_test = train_test_split(X,...X_train, X_test = X[:2000], X[2000:] >>> y_train, y_test = y[:2000],...scikit-learn.org/stable/_sources/modules/ensemble.rst.txt -
v1.3.rst.txt
and test curves by default. You can set `score_type="test"` to...- :class:`feature_extraction.text.TfidfTransformer` - :class:...scikit-learn.org/stable/_sources/whats_new/v1.3.rst.txt -
v1.4.rst.txt
text.TfidfTransformer` in :pr:`27219`...:func:`sklearn.model_selection.train_test_split` in :pr:`26855` by `Tim...scikit-learn.org/stable/_sources/whats_new/v1.4.rst.txt -
neighbors.rst.txt
X_test, y_train, y_test = train_test_split(X, y, ......>>> print(nca_pipe.score(X_test, y_test)) 0.96190476... .. |nca_classification_1|...scikit-learn.org/stable/_sources/modules/neighbors.rst.txt