Validation set for Gradient Based Models woohoo

cca_zoo/_base.py

@@ -41,8 +41,7 @@ class BaseModel(BaseEstimator, MultiOutputMixin, TransformerMixin):
 
     """
 
-    _loadings = None
-    _canonical_loadings = None
+    weights_=None
 
     def __init__(
         self,
@@ -276,12 +275,10 @@ def loadings_(self) -> List[np.ndarray]:
             Loadings for each view.
         """
         check_is_fitted(self, attributes=["weights_"])
-        if self._loadings is None:
-            # Compute loadings_ only if they haven't been computed yet
-            self._loadings = [
+        loadings=[
                 weights / np.linalg.norm(weights, axis=0) for weights in self.weights_
             ]
-        return self._loadings
+        return loadings
 
     def explained_variance(self, views: Iterable[np.ndarray]) -> List[np.ndarray]:
         """

docs/source/conf.py

@@ -48,17 +48,16 @@
 intersphinx_mapping = {
     "numpy": ("https://docs.scipy.org/doc/numpy", None),
     "python": ("https://docs.python.org/3", None),
-    "sklearn": ("http://scikit-learn.org/dev", None),
-    # "torch": ("https://pytorch.org/docs/master", None),
-    # "jax": ("https://jax.readthedocs.io/en/latest/", None),
-    # "numpyro": ("https://numpyro.readthedocs.io/en/latest/", None),
-    # "jaxlib": ("https://jax.readthedocs.io/en/latest/", None),
-    # "lightning": ("https://pytorch-lightning.readthedocs.io/en/latest/", None),
+    "sklearn": ("https://scikit-learn.org/dev", None),
+    "torch": ("https://pytorch.org/docs/master", None),
+    "jax": ("https://jax.readthedocs.io/en/latest/", None),
+    "numpyro": ("https://numpyro.readthedocs.io/en/latest/", None),
+    "jaxlib": ("https://jax.readthedocs.io/en/latest/", None),
+    "lightning": ("https://pytorch-lightning.readthedocs.io/en/latest/", None),
 }
 
 autodoc_default_options = {
     "members": True,
-    "inherited-members": True,
     "show-inheritance": True,
     "member-order": "bysource",
 }