Temporary deprecate WarningSamplesBuffer callback

Author: jaime-cespedes-sisniega

docs/source/api_reference/callbacks/streaming.md

@@ -15,5 +15,4 @@ The {mod}`frouros.callbacks.streaming` module contains streaming callbacks.
     :template: class.md
 
     HistoryConceptDrift
-    WarningSamplesBuffer
 ```

frouros/callbacks/streaming/warning_samples.py

@@ -181,66 +181,6 @@ def test_streaming_history_on_concept_drift(
             break
 
 
-def _fit_model(model, X, y):  # noqa: N803
-    model.fit(X=X, y=y)
-    return model
-
-
-@pytest.mark.parametrize(
-    "detector_class",
-    [
-        DDM,
-        ECDDWT,
-        EDDM,
-        HDDMA,
-        HDDMW,
-        RDDM,
-    ],  # pylint: disable=too-many-locals
-)
-def test_streaming_warning_samples_buffer_on_concept_drift(
-    dataset_simple: Tuple[Tuple[np.ndarray, np.ndarray], Tuple[np.ndarray, np.ndarray]],
-    model: sklearn.pipeline.Pipeline,
-    detector_class: BaseSPC,
-):
-    """Test streaming warning samples buffer on concept drift callback.
-
-    :param dataset_simple: dataset with concept drift
-    :type dataset_simple: Tuple[Tuple[numpy.ndarray, numpy.ndarray],
-    :param model: trained model
-    :type model: sklearn.pipeline.Pipeline
-    :param detector_class: concept drift detector
-    :type detector_class: BaseSPC
-    """
-    _, test = dataset_simple  # noqa: N806
-
-    detector = detector_class(
-        callbacks=WarningSamplesBuffer(name="samples"),  # type: ignore
-    )
-
-    collect_example_warning_samples = False
-    X_extra, y_extra = [], []  # noqa: N806
-
-    for X, y in zip(*test):  # noqa: N806
-        y_pred = model.predict(X.reshape(1, -1))
-        if not collect_example_warning_samples:
-            error = 1 - int(y_pred == y)
-            callbacks_logs = detector.update(value=error, X=X, y=y)
-        else:
-            X_extra.append(X)
-            y_extra.append(y)
-        if detector.status["drift"]:
-            y_new_ref = callbacks_logs["samples"]["y"] + y_extra
-            if len([*set(y_new_ref)]) < 2:
-                collect_example_warning_samples = True
-            else:
-                X_new_ref = callbacks_logs["samples"]["X"] + X_extra  # noqa: N806
-                collect_example_warning_samples = False
-                X_extra.clear()
-                y_extra.clear()
-                detector.reset()
-                model = _fit_model(model=model, X=X_new_ref, y=y_new_ref)
-
-
 @pytest.mark.parametrize(
     "detector_class,"
     " expected_drift_idx,"