Unfiy the training scripts and add SHAP

tests/test_training.py

@@ -29,7 +29,7 @@ import shutil
 import pytest
 
 from entropice.ml.dataset import DatasetEnsemble
-from entropice.ml.training import CVSettings, random_cv
+from entropice.ml.randomsearch import RunSettings, random_cv
 from entropice.utils.types import Model, Task
 
 
@@ -90,7 +90,7 @@ class TestRandomCV:
         - All output files are created
         """
         # Use darts_v1 as the primary target for all tests
-        settings = CVSettings(
+        settings = RunSettings(
             n_iter=3,
             task=task,
             target="darts_v1",
@@ -141,7 +141,7 @@ class TestRandomCV:
         - xgboost: Uses CUDA without array API dispatch
         - rf/knn: GPU-accelerated via cuML
         """
-        settings = CVSettings(
+        settings = RunSettings(
             n_iter=3,
             task="binary",  # Simple binary task for device testing
             target="darts_v1",
@@ -168,7 +168,7 @@ class TestRandomCV:
 
     def test_random_cv_with_mllabels(self, test_ensemble, cleanup_results):
         """Test random_cv with multi-label target dataset."""
-        settings = CVSettings(
+        settings = RunSettings(
             n_iter=3,
             task="binary",
             target="darts_mllabels",
@@ -199,7 +199,7 @@ class TestRandomCV:
             add_lonlat=True,
         )
 
-        settings = CVSettings(
+        settings = RunSettings(
             n_iter=3,
             task="binary",
             target="darts_v1",