0.22.2

Author: bartzbeielstein

pyproject.toml

@@ -7,7 +7,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "spotpython"
-version = "0.22.1"
+version = "0.22.2"
 authors = [
   { name="T. Bartz-Beielstein", email="tbb@bartzundbartz.de" }
 ]

src/spotpython/data/lightcrossvalidationdatamodule.py

@@ -19,6 +19,8 @@ class LightCrossValidationDataModule(L.LightningDataModule):
             The full training dataset from which training and validation sets will be derived.
         data_test (torch.utils.data.Dataset, optional):
             The separate test dataset that will be used for testing.
+        data_val (torch.utils.data.Dataset, optional):
+            The separate validation dataset that will be used for validation.
         k (int): The fold number. Defaults to 1.
         split_seed (int): The random seed for splitting the data. Defaults to 42.
         num_splits (int): The number of splits for cross-validation. Defaults to 10.
@@ -49,6 +51,7 @@ def __init__(
         dataset: Optional[object] = None,
         data_full_train: Optional[object] = None,
         data_test: Optional[object] = None,
+        data_val: Optional[object] = None,
         k: int = 1,
         split_seed: int = 42,
         num_splits: int = 10,
@@ -63,6 +66,7 @@ def __init__(
         self.data_full = dataset
         self.data_full_train = data_full_train
         self.data_test = data_test
+        self.data_val = data_val
         self.data_dir = data_dir
         self.num_workers = num_workers
         self.k = k