Add test for typical usage of FeatureCollector in conjunction with

FeatureGeneratorRegistry

tests/base/test_feature_collector_registry.py

@@ -0,0 +1,24 @@
+from enum import Enum
+
+from sensai.data_transformation import DFTNormalisation, SkLearnTransformerFactoryFactory
+from sensai.featuregen import FeatureGeneratorRegistry, FeatureGeneratorTakeColumns
+
+
+def test_feature_collector_with_registry(irisClassificationTestCase):
+    class FeatureName(Enum):
+        ALL = "all"
+
+    registry = FeatureGeneratorRegistry()
+    registry.register_factory(FeatureName.ALL, lambda: FeatureGeneratorTakeColumns(
+        normalisation_rule_template=DFTNormalisation.RuleTemplate(independent_columns=True)))
+
+    fc = registry.collect_features(FeatureName.ALL)
+
+    fgen = fc.get_multi_feature_generator()
+    features_df = fgen.fit_generate(irisClassificationTestCase.data.inputs)
+
+    dft_normalisation = fc.create_dft_normalisation(default_transformer_factory=SkLearnTransformerFactoryFactory.MaxAbsScaler())
+    normalised_features_df = dft_normalisation.fit_apply(features_df)
+
+    max_values = normalised_features_df.max(axis=0)
+    assert all(max_values == 1.0)  # test correctness of independent_columns=True