- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 31 - 40 of 48 for text (0.09 sec)
-
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 -
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 -
install.rst.txt
running the full scikit-learn test suite via automated continuous...ckages\\sklearn\\datasets\\tests\\data\\openml\\292\\api-v1-...scikit-learn.org/stable/_sources/install.rst.txt -
related_projects.rst.txt
facilitates best practices for testing and documenting estimators....More focused on statistical tests and less on prediction than...scikit-learn.org/stable/_sources/related_projects.rst.txt -
old_style.txt
小澤 濱崎 渡邊 渡邉 藪内 岩渕 草彅 髙橋raw.githubusercontent.com/codelibs/fess-testdata/master/other/old_style.txt -
model_selection.rst.txt
.. Places parent toc into the sidebar :parenttoc: True .. include:: includes/big_toc_css.rst .. _model_selection: Model selection and evaluation ---------- .. toctree:: :maxdepth: 2 modules/cross_v...scikit-learn.org/stable/_sources/model_selection.rst.txt