scikit-learn
diff --git a/‎sklearn/base.py
Lines changed: 8 additions & 1 deletion b/‎sklearn/base.py
Lines changed: 8 additions & 1 deletion
diff --git a/‎sklearn/cross_decomposition/cca_.py
Lines changed: 2 additions & 1 deletion b/‎sklearn/cross_decomposition/cca_.py
Lines changed: 2 additions & 1 deletion
diff --git a/‎sklearn/manifold/locally_linear.py
Lines changed: 3 additions & 2 deletions b/‎sklearn/manifold/locally_linear.py
Lines changed: 3 additions & 2 deletions
@@ -6,11 +6,13 @@
 import copy
 import warnings
 from collections import defaultdict
+import platform
 
 import numpy as np
 from scipy import sparse
 from .externals import six
 from .utils.fixes import signature
+from .utils import _IS_32BIT
 from . import __version__
 
 
@@ -515,7 +517,12 @@ class MetaEstimatorMixin(object):
     # this is just a tag for the moment
 
 
-###############################################################################
+class _UnstableArchMixin(object):
+    """Mark estimators that are non-determinstic on 32bit or PowerPC"""
+    def _more_tags(self):
+        return {'non_deterministic': (
+            _IS_32BIT or platform.machine().startswith(('ppc', 'powerpc')))}
+
 
 def is_classifier(estimator):
     """Returns True if the given estimator is (probably) a classifier.
 
@@ -1,9 +1,10 @@
 from .pls_ import _PLS
+from ..base import _UnstableArchMixin
 
 __all__ = ['CCA']
 
 
-class CCA(_PLS):
+class CCA(_PLS, _UnstableArchMixin):
     """CCA Canonical Correlation Analysis.
 
     CCA inherits from PLS with mode="B" and deflation_mode="canonical".
 
@@ -9,7 +9,7 @@
 from scipy.sparse import eye, csr_matrix
 from scipy.sparse.linalg import eigsh
 
-from ..base import BaseEstimator, TransformerMixin
+from ..base import BaseEstimator, TransformerMixin, _UnstableArchMixin
 from ..utils import check_random_state, check_array
 from ..utils.extmath import stable_cumsum
 from ..utils.validation import check_is_fitted
@@ -518,7 +518,8 @@ def locally_linear_embedding(
                       tol=tol, max_iter=max_iter, random_state=random_state)
 
 
-class LocallyLinearEmbedding(BaseEstimator, TransformerMixin):
+class LocallyLinearEmbedding(BaseEstimator, TransformerMixin,
+                             _UnstableArchMixin):
     """Locally Linear Embedding
 
     Read more in the :ref:`User Guide <locally_linear_embedding>`.