Github action: auto-update.

Author: github-actions[bot]

dev/_downloads/02fe230fcb90df96787f11e615bb0af8/plot_guide_for_constrained_cp.py

@@ -80,7 +80,7 @@
 # Using one constraint for all modes
 # --------------------------------------------
 # Constraints are inputs of the constrained_parafac function, which itself uses the
-# ``tensorly.tenalg.proximal.validate_constraints`` function in order to process the input
+# ``tensorly.solver.proximal.validate_constraints`` function in order to process the input
 # of the user. If a user wants to use the same constraint for all modes, an
 # input (bool or a scalar value or list of scalar values) should be given to this constraint.
 # Assume, one wants to use unimodality constraint for all modes. Since it does not require

dev/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip

@@ -29,7 +29,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "## Using one constraint for all modes\nConstraints are inputs of the constrained_parafac function, which itself uses the\n``tensorly.tenalg.proximal.validate_constraints`` function in order to process the input\nof the user. If a user wants to use the same constraint for all modes, an\ninput (bool or a scalar value or list of scalar values) should be given to this constraint.\nAssume, one wants to use unimodality constraint for all modes. Since it does not require\nany scalar input, unimodality can be imposed by writing `True` for `unimodality`:\n\n"
+        "## Using one constraint for all modes\nConstraints are inputs of the constrained_parafac function, which itself uses the\n``tensorly.solver.proximal.validate_constraints`` function in order to process the input\nof the user. If a user wants to use the same constraint for all modes, an\ninput (bool or a scalar value or list of scalar values) should be given to this constraint.\nAssume, one wants to use unimodality constraint for all modes. Since it does not require\nany scalar input, unimodality can be imposed by writing `True` for `unimodality`:\n\n"
       ]
     },
     {