[Do NOT merge yet] FIX: Allow sparse data on TSNE

daal4py/sklearn/manifold/_t_sne.py

@@ -147,11 +147,15 @@ def _fit(self, X, skip_num_points=0):
                     daal_check_version((2021, "P", 600)),
                     "oneDAL version is lower than 2021.6.",
                 ),
+                # Scikit-learn didn't support sparse PCA initialization before 1.8.
+                # This nevertheless offloads it to sklearn because it produces a different
+                # error message than what would be throws by simply passing the input to PCA.
                 (
-                    not (
+                    sklearn_check_version("1.8")
+                    or not (
                         isinstance(self.init, str) and self.init == "pca" and issparse(X)
                     ),
-                    "PCA initialization is not supported with sparse input matrices.",
+                    "PCA initialization is not supported with sparse input matrices before scikit-learn 1.8.",
                 ),
                 # Note: these conditions below should result in errors, but stock scikit-learn
                 # does not check for errors at this exact point. Hence, this offloads the erroring

doc/sources/algorithms.rst

@@ -196,7 +196,7 @@ Dimensionality Reduction
        - ``method`` != ``"barnes_hut"``
 
        Refer to :ref:`TSNE acceleration details <acceleration_tsne>` to learn more.
-     - Sparse data with ``init`` = ``"pca"`` is not supported
+     - Sparse data is not supported for the initialization and distance calculation stages.
 
 Nearest Neighbors
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