Searched refs:covariance_matrix (Results 1 – 3 of 3) sorted by relevance
| /external/tensorflow/tensorflow/contrib/distributions/python/ops/ |
| D | mvn_full_covariance.py | 127 covariance_matrix=None, argument
172 with ops.name_scope("init", values=[loc, covariance_matrix]):
173 if covariance_matrix is None:
176 covariance_matrix = ops.convert_to_tensor(
177 covariance_matrix, name="covariance_matrix")
179 covariance_matrix = control_flow_ops.with_dependencies([
181 covariance_matrix,
182 array_ops.matrix_transpose(covariance_matrix),
183 message="Matrix was not symmetric")], covariance_matrix)
189 scale_tril = linalg_ops.cholesky(covariance_matrix)
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| /external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/ |
| D | mvn_full_covariance_test.py | 88 mu, covariance_matrix=None, validate_args=True)
141 covariance_matrix=sigma_a,
145 covariance_matrix=sigma_b,
168 covariance_matrix=sigma_a,
172 covariance_matrix=sigma_b,
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| /external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/ |
| D | math_utils.py | 75 covariance_matrix, maximum_variance_ratio, minimum_variance): argument
90 diagonal = array_ops.matrix_diag_part(covariance_matrix)
95 covariance_matrix, math_ops.maximum(new_diagonal, minimum_variance))
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