| /external/tensorflow/tensorflow/contrib/factorization/python/ops/ |
| kmeans.py | 140 def __init__(self, num_clusters, initial_clusters, distance_metric,
145 self._initial_clusters = initial_clusters
200 initial_clusters=self._initial_clusters,
302 # Values for initial_clusters constructor argument.
322 initial_clusters=RANDOM_INIT,
358 argument is ignored if `initial_clusters` is a tensor or numpy array.
360 initial_clusters: Specifies how the initial cluster centers are chosen.
392 `initial_clusters=KMeansClustering.KMEANS_PLUS_PLUS_INIT`.
403 ValueError: An invalid argument was passed to `initial_clusters` or
406 if isinstance(initial_clusters, str) and initial_clusters not in
[all...] |
| gmm_test.py | 89 initial_clusters=self.initial_means,
99 initial_clusters=self.initial_means,
108 initial_clusters='random',
121 initial_clusters=self.initial_means,
152 initial_clusters=self.initial_means,
|
| kmeans_test.py | 123 def initial_clusters(self): member in class:KMeansTestBase
154 initial_clusters=self.initial_clusters,
183 initial_clusters=self.initial_clusters,
276 initial_clusters=kmeans_lib.KMeansClustering.RANDOM_INIT,
292 initial_clusters=kmeans_lib.KMeansClustering.KMEANS_PLUS_PLUS_INIT,
309 initial_clusters=kmeans_lib.KMeansClustering.KMEANS_PLUS_PLUS_INIT,
372 initial_clusters=kmeans_lib.KMeansClustering.RANDOM_INIT,
438 initial_clusters=self.initial_clusters
[all...] |
| clustering_ops.py | 61 initial_clusters=RANDOM_INIT,
99 argument is ignored if initial_clusters is a tensor or numpy array.
100 initial_clusters: Specifies the clusters used during initialization. One
130 ValueError: An invalid argument was passed to initial_clusters or
133 if isinstance(initial_clusters, str) and initial_clusters not in [
137 "Unsupported initialization algorithm '%s'" % initial_clusters)
142 self._initial_clusters = initial_clusters
355 initial_clusters = self._initial_clusters
358 initial_clusters = ops.convert_to_tensor(self._initial_clusters
[all...] |
| gmm.py | 80 initial_clusters='random',
92 initial_clusters: specifies how to initialize the clusters for training.
99 self._training_initial_clusters = initial_clusters
|
| gmm_ops.py | 463 initial_clusters,
472 initial_clusters: Specifies the clusters used during
494 if initial_clusters != 'random' and not isinstance(initial_clusters,
496 initial_means = constant_op.constant(initial_clusters, dtype=dtypes.float32)
|
| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| kmeans_test.py | 123 def initial_clusters(self): member in class:KMeansTestBase
154 initial_clusters=self.initial_clusters,
185 initial_clusters=self.initial_clusters,
244 initial_clusters=kmeans_lib.KMeansClustering.RANDOM_INIT,
260 initial_clusters=kmeans_lib.KMeansClustering.KMEANS_PLUS_PLUS_INIT,
277 initial_clusters=kmeans_lib.KMeansClustering.KMEANS_PLUS_PLUS_INIT,
340 initial_clusters=kmeans_lib.KMeansClustering.RANDOM_INIT,
406 initial_clusters=self.initial_clusters
[all...] |
| kmeans.py | 123 initial_clusters=params.get('training_initial_clusters'),
176 initial_clusters=RANDOM_INIT,
189 initial_clusters: specifies how to initialize the clusters for training.
211 params['training_initial_clusters'] = initial_clusters
|
| /external/tensorflow/tensorflow/python/ops/ |
| clustering_ops.py | 62 initial_clusters=RANDOM_INIT,
100 argument is ignored if initial_clusters is a tensor or numpy array.
101 initial_clusters: Specifies the clusters used during initialization. One
131 ValueError: An invalid argument was passed to initial_clusters or
134 if isinstance(initial_clusters, str) and initial_clusters not in [
138 "Unsupported initialization algorithm '%s'" % initial_clusters)
143 self._initial_clusters = initial_clusters
356 initial_clusters = self._initial_clusters
359 initial_clusters = ops.convert_to_tensor(self._initial_clusters
[all...] |
