Linear Regression out of preview (#1557)

* changing import to preview

* test_preview_linear upd

* no assert daal4py in module

* actual removal

* address public and private CI fails

* cleanup additional mentions of preview

* isorted

* minor paths update

* adding pytest args to function

* alignment with #1508

* Update sklearnex/tests/test_memory_usage.py

Co-authored-by: Alexander Andreev <alexander.andreev@intel.com>

* Update sklearnex/tests/test_memory_usage.py

Co-authored-by: Alexander Andreev <alexander.andreev@intel.com>

* some cpu deselected test removals

* restoring one deselected for pub CI

* restoring one deselected for private CI

* temp debugging

* another temp for debug

* debug removal

* alphabetical tweak after merging

* minor space

* deselected pca tweak

---------

Co-authored-by: Alexander Andreev <alexander.andreev@intel.com>

Author: ethanglaser

deselected_tests.yaml

@@ -239,13 +239,10 @@ deselected_tests:
   - tests/test_multioutput.py::test_multi_output_classification
 
   # Linear Regression - badly defined equation system
-  - ensemble/tests/test_stacking.py::test_stacking_prefit[StackingRegressor-DummyRegressor-predict-final_estimator1-X1-y1]
   - tests/test_common.py::test_estimators[RandomForestClassifier()-check_requires_y_none]
   - tests/test_common.py::test_estimators[RandomForestRegressor()-check_requires_y_none]
-  - tests/test_common.py::test_estimators[LinearRegression()-check_requires_y_none]
 
   # Linear Regression - minor mismatches in error/warning messages
-  - tree/tests/test_export.py::test_precision
   - model_selection/tests/test_search.py::test_grid_search_pipeline_steps
   - linear_model/tests/test_base.py::test_linear_regression_pd_sparse_dataframe_warning
 
@@ -1192,7 +1189,7 @@ gpu:
   - tests/test_common.py::test_check_n_features_in_after_fitting[DBSCAN()]
   - tests/test_common.py::test_check_n_features_in_after_fitting[SVC()]
   # originated with pca dpctl/dpnp fit, to be re-assesed with pca out-of-preview
-  - test_pca_n_components_mostly_explained_variance_ratio
+  - decomposition/tests/test_pca.py::test_pca_n_components_mostly_explained_variance_ratio
 
 preview:
   - cluster/tests/test_k_means.py::test_kmeans_elkan_results

setup_sklearnex.py

@@ -96,7 +96,6 @@
     "sklearnex.preview",
     "sklearnex.preview.cluster",
     "sklearnex.preview.decomposition",
-    "sklearnex.preview.linear_model",
     "sklearnex.svm",
     "sklearnex.utils",
 ]

sklearnex/dispatcher.py

@@ -68,6 +68,7 @@ def get_patch_map():
         from .ensemble import ExtraTreesRegressor as ExtraTreesRegressor_sklearnex
         from .ensemble import RandomForestClassifier as RandomForestClassifier_sklearnex
         from .ensemble import RandomForestRegressor as RandomForestRegressor_sklearnex
+        from .linear_model import LinearRegression as LinearRegression_sklearnex
         from .neighbors import KNeighborsClassifier as KNeighborsClassifier_sklearnex
         from .neighbors import KNeighborsRegressor as KNeighborsRegressor_sklearnex
         from .neighbors import LocalOutlierFactor as LocalOutlierFactor_sklearnex
@@ -76,7 +77,6 @@ def get_patch_map():
         # Preview classes for patching
         from .preview.cluster import KMeans as KMeans_sklearnex
         from .preview.decomposition import PCA as PCA_sklearnex
-        from .preview.linear_model import LinearRegression as LinearRegression_sklearnex
         from .svm import SVC as SVC_sklearnex
         from .svm import SVR as SVR_sklearnex
         from .svm import NuSVC as NuSVC_sklearnex
@@ -88,21 +88,6 @@ def get_patch_map():
             mapping.pop("pca")
             mapping["pca"] = [[(decomposition_module, "PCA", PCA_sklearnex), None]]
 
-            # Linear Regression
-            mapping.pop("linear")
-            mapping.pop("linearregression")
-            mapping["linear"] = [
-                [
-                    (
-                        linear_model_module,
-                        "LinearRegression",
-                        LinearRegression_sklearnex,
-                    ),
-                    None,
-                ]
-            ]
-            mapping["linearregression"] = mapping["linear"]
-
             # KMeans
             mapping.pop("kmeans")
             mapping["kmeans"] = [
@@ -128,6 +113,21 @@ def get_patch_map():
         mapping["nusvr"] = [[(svm_module, "NuSVR", NuSVR_sklearnex), None]]
         mapping["nusvc"] = [[(svm_module, "NuSVC", NuSVC_sklearnex), None]]
 
+        # Linear Regression
+        mapping.pop("linear")
+        mapping.pop("linearregression")
+        mapping["linear"] = [
+            [
+                (
+                    linear_model_module,
+                    "LinearRegression",
+                    LinearRegression_sklearnex,
+                ),
+                None,
+            ]
+        ]
+        mapping["linearregression"] = mapping["linear"]
+
         # kNN
         mapping.pop("knn_classifier")
         mapping.pop("kneighborsclassifier")