scaler prepared

Author: bartzbeielstein

pyproject.toml

@@ -7,7 +7,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "spotpython"
-version = "0.14.33"
+version = "0.14.34"
 authors = [
   { name="T. Bartz-Beielstein", email="tbb@bartzundbartz.de" }
 ]

src/spotPython/light/predictmodel.py

@@ -70,6 +70,7 @@ def predict_model(config: dict, fun_control: dict) -> Tuple[float, float]:
         num_workers=fun_control["num_workers"],
         test_size=fun_control["test_size"],
         test_seed=fun_control["test_seed"],
+        scaler=fun_control["scaler"],
     )
     # TODO: Check if this is necessary:
     # dm.setup(stage="train")

src/spotPython/light/testmodel.py

@@ -71,6 +71,7 @@ def test_model(config: dict, fun_control: dict) -> Tuple[float, float]:
         num_workers=fun_control["num_workers"],
         test_size=fun_control["test_size"],
         test_seed=fun_control["test_seed"],
+        scaler=fun_control["scaler"],
     )
     # TODO: Check if this is necessary:
     # dm.setup()

src/spotPython/light/trainmodel.py

@@ -102,6 +102,7 @@ def train_model(config: dict, fun_control: dict, timestamp: bool = True) -> floa
         num_workers=fun_control["num_workers"],
         test_size=fun_control["test_size"],
         test_seed=fun_control["test_seed"],
+        scaler=fun_control["scaler"],
     )
     # TODO: Check if this is necessary:
     # dm.setup()

src/spotPython/spot/spot.py

@@ -787,9 +787,9 @@ def run(self, X_start=None) -> Spot:
                 print(f"S.y: {S.y}")
                 Seed set to 123
                 Seed set to 123
-                spotPython tuning: 0.0 [########--] 80.00% 
-                spotPython tuning: 0.0 [#########-] 86.67% 
-                spotPython tuning: 0.0 [#########-] 93.33% 
+                spotPython tuning: 0.0 [########--] 80.00%
+                spotPython tuning: 0.0 [#########-] 86.67%
+                spotPython tuning: 0.0 [#########-] 93.33%
                 spotPython tuning: 0.0 [##########] 100.00% Done...
 
                 S.X: [[ 0.00000000e+00  0.00000000e+00]

src/spotPython/utils/init.py

@@ -58,6 +58,7 @@ def fun_control_init(
     prep_model=None,
     prep_model_name=None,
     progress_file=None,
+    scaler=None,
     scenario=None,
     seed=123,
     show_models=False,
@@ -186,6 +187,9 @@ def fun_control_init(
             The name of the preprocessing model. Default is None.
         progress_file (str):
             The name of the progress file. Default is None.
+        scaler (object):
+            The scaler object, e.g., the TorchStandard scaler from spot.utils.scaler.py.
+            Default is None.
         scenario (str):
             The scenario to use. Default is None. Can be "river", "sklearn", or "lightning".
         seed (int):