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  /external/tensorflow/tensorflow/contrib/factorization/python/ops/
gmm_ops_test.py 164 covs = sess.run(gmm_tool.covariances())
167 # Experiment 2. Update means and covariances.
180 covs = sess.run(gmm_tool.covariances())
186 # Experiment 3. Update covariances only.
199 covs = sess.run(gmm_tool.covariances())
gmm_test.py 165 self.assertAllClose(sklearn_covs, gmm.covariances(), rtol=0.01)
169 np.diag(sklearn_covs[d]), gmm.covariances()[d, :], rtol=0.01)
gmm.py 140 def covariances(self): member in class:GMM
141 """Returns the covariances."""
gmm_ops.py 114 means, and "c" for covariances.
143 # Small value to guarantee that covariances are invertible.
150 # Operations of partial statistics for the computation of the covariances.
188 # Initialize covariances.
242 def covariances(self): member in class:GmmAlgorithm
243 """Returns the covariances matrices."""
371 """Computes the partial statistics of the means and covariances.
386 # Partial covariances.
424 # Update covariances.
440 # because covariances already depend on it
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