MTN: remove support of deprecated import of TimeSeriesRegressor (#698)

Author: Valentin-Laurent

doc/v1_migration_guide.rst

@@ -388,6 +388,8 @@ The ``MapieTimeSeriesRegressor`` class has been renamed ``TimeSeriesRegressor``.
 
 The ``adapt_conformal_inference``, ``update``, ``predict`` and ``coverage_width_based`` functions of the class now take ``confidence_level`` as input, instead of ``alpha`` (``confidence_level`` is equivalent to ``1 - alpha``).
 
+The already deprecated path to import the class (``from mapie.time_series_regression import TimeSeriesRegressor``) is now unsupported, use path `mapie.regression` instead.
+
 Risk control
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 

examples/regression/3-scientific-articles/plot_zaffran2022_comparison.py

@@ -53,7 +53,7 @@
 
 from numpy.typing import NDArray
 from mapie.conformity_scores import AbsoluteConformityScore
-from mapie.time_series_regression import TimeSeriesRegressor
+from mapie.regression import TimeSeriesRegressor
 
 warnings.simplefilter("ignore")
 

mapie/tests/test_time_series_regression.py

@@ -454,34 +454,6 @@ def test_interval_prediction_with_beta_optimize() -> None:
     np.testing.assert_allclose(coverage, 0.916, rtol=1e-2)
 
 
-def test_deprecated_path_warning() -> None:
-    """Test that a warning is raised if import with deprecated path."""
-    with pytest.warns(
-        FutureWarning,
-        match=r".*WARNING: Deprecated path*"
-    ):
-        from mapie.time_series_regression import TimeSeriesRegressor
-        _ = TimeSeriesRegressor()
-
-
-def test_consistent_class() -> None:
-    """
-    Test that importing a class with a new or obsolete path
-    produces the same results.
-    """
-    from mapie.regression import TimeSeriesRegressor as C2
-    from mapie.time_series_regression import TimeSeriesRegressor as C1
-
-    mapie_c1 = C1(random_state=random_state).fit(X, y)
-    mapie_c2 = C2(random_state=random_state).fit(X, y)
-
-    y_pred_1, y_pis_1 = mapie_c1.predict(X, confidence_level=0.9)
-    y_pred_2, y_pis_2 = mapie_c2.predict(X, confidence_level=0.9)
-    np.testing.assert_allclose(y_pis_1[:, 0, 0], y_pis_2[:, 0, 0])
-    np.testing.assert_allclose(y_pis_1[:, 1, 0], y_pis_2[:, 1, 0])
-    np.testing.assert_allclose(y_pred_1, y_pred_2)
-
-
 def test_aci_method() -> None:
     """
     Test function for the "aci" (Adapted Conformal Inference) method

mapie/time_series_regression.py

@@ -83,7 +83,7 @@
     "\n",
     "from mapie.metrics.regression import regression_coverage_score, regression_mean_width_score, coverage_width_based\n",
     "from mapie.subsample import BlockBootstrap\n",
-    "from mapie.time_series_regression import TimeSeriesRegressor\n",
+    "from mapie.regression import TimeSeriesRegressor\n",
     "from mapie.conformity_scores.regression import BaseRegressionScore\n",
     "from mapie.conformity_scores.interface import BaseConformityScore\n",
     "\n",