Add thin wrapper for the Iris dataset

prototorch/components/components.py

@@ -67,8 +67,9 @@ class LabeledComponents(Components):
                  *,
                  initialized_components=None):
         if initialized_components is not None:
-            super().__init__(initialized_components=initialized_components[0])
-            self._labels = initialized_components[1]
+            components, component_labels = initialized_components
+            super().__init__(initialized_components=components)
+            self._labels = component_labels
         else:
             self._initialize_labels(distribution)
             super().__init__(number_of_components=len(self._labels),

prototorch/datasets/__init__.py

@@ -1,11 +1,6 @@
 """ProtoTorch datasets."""
 
 from .abstract import NumpyDataset
+from .iris import Iris
 from .spiral import Spiral
 from .tecator import Tecator
-
-__all__ = [
-    "NumpyDataset",
-    "Spiral",
-    "Tecator",
-]

setup.py

@@ -23,6 +23,7 @@ INSTALL_REQUIRES = [
 ]
 DATASETS = [
     "requests",
+    "sklearn",
     "tqdm",
 ]
 DEV = ["bumpversion"]