1-
21=============
32API Reference
43=============
@@ -155,8 +154,8 @@ Classes
155154**User guide: ** See the :ref: `cross_validation `, :ref: `grid_search ` and
156155:ref: `learning_curve ` sections for further details.
157156
158- Splitters
159- ---------
157+ Splitter Classes
158+ ----------------
160159
161160.. currentmodule :: sklearn
162161
@@ -176,8 +175,8 @@ Splitters
176175 model_selection.StratifiedShuffleSplit
177176 model_selection.PredefinedSplit
178177
179- Splitter helper
180- ---------------
178+ Splitter Functions
179+ ------------------
181180
182181.. currentmodule :: sklearn
183182
@@ -187,8 +186,8 @@ Splitter helper
187186
188187 model_selection.train_test_split
189188
190- Parameter tuners
191- ----------------
189+ Hyper-parameter optimizers
190+ --------------------------
192191
193192.. currentmodule :: sklearn
194193
@@ -198,21 +197,11 @@ Parameter tuners
198197
199198 model_selection.GridSearchCV
200199 model_selection.RandomizedSearchCV
201-
202- Parameter search utilites
203- -------------------------
204-
205- .. currentmodule :: sklearn
206-
207- .. autosummary ::
208- :toctree: generated/
209- :template: class.rst
210-
211200 model_selection.ParameterGrid
212201 model_selection.ParameterSampler
213202
214- Scorers
215- -------
203+ Model validation
204+ ----------------
216205
217206.. currentmodule :: sklearn
218207
@@ -223,16 +212,6 @@ Scorers
223212 model_selection.cross_val_score
224213 model_selection.cross_val_predict
225214 model_selection.permutation_test_score
226- model_selection.check_cv
227-
228- Diagnostic utilities to evaluate the Bias-Variance trade-off
229- ------------------------------------------------------------
230-
231- .. currentmodule :: sklearn
232-
233- .. autosummary ::
234- :toctree: generated/
235- :template: function.rst
236215 model_selection.learning_curve
237216 model_selection.validation_curve
238217
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