Searched refs:all_times (Results 1 – 8 of 8) sorted by relevance
| /external/tensorflow/tensorflow/contrib/timeseries/examples/ |
| D | predict_test.py | 35 (times, observed, all_times, mean, upper_limit, lower_limit
42 self.assertAllEqual([700], all_times.shape)
48 (times, observed, all_times, mean,
51 self.assertAllEqual(all_times.shape, mean.shape)
52 self.assertAllEqual(all_times.shape, upper_limit.shape)
53 self.assertAllEqual(all_times.shape, lower_limit.shape)
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| D | known_anomaly_test.py | 29 (times, observed, all_times, mean, upper_limit, lower_limit,
35 self.assertAllEqual(all_times.shape, mean.shape)
36 self.assertAllEqual(all_times.shape, upper_limit.shape)
37 self.assertAllEqual(all_times.shape, lower_limit.shape)
41 (times, observed, all_times, mean, upper_limit, lower_limit,
49 self.assertAllEqual([300], all_times.shape)
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| D | predict.py | 96 all_times = np.concatenate([times, predictions["times"]], axis=0)
99 return times, observed, all_times, mean, upper_limit, lower_limit
102 def make_plot(name, training_times, observed, all_times, mean, argument
107 pyplot.plot(all_times, mean, "r", label="forecast")
108 pyplot.plot(all_times, upper_limit, "g", label="forecast upper bound")
109 pyplot.plot(all_times, lower_limit, "g", label="forecast lower bound")
110 pyplot.fill_between(all_times, lower_limit, upper_limit, color="grey",
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| D | known_anomaly.py | 133 all_times = np.concatenate([times, predictions["times"]], axis=0)
144 return (times, observed, all_times, mean, upper_limit, lower_limit,
148 def make_plot(name, training_times, observed, all_times, mean, argument
153 pyplot.plot(all_times, mean, "r", label="forecast")
157 pyplot.fill_between(all_times, lower_limit, upper_limit, color="grey",
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| D | multivariate.py | 101 all_times = numpy.squeeze(numpy.concatenate(times, axis=1), axis=0)
102 return all_times, all_observations
109 all_times, all_observations = multivariate_train_and_sample()
112 pyplot.plot(all_times, all_observations)
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| D | lstm_test.py | 38 all_times, predicted_values) = lstm.train_and_predict(
43 self.assertAllEqual([200], all_times.shape)
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| D | lstm.py | 237 all_times = numpy.concatenate([times, predictions["times"]], axis=0)
276 return times, observed, all_times, predicted_mean
284 all_times, predictions) = train_and_predict()
289 all_times, predictions, label="Predicted", color="b")
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| /external/tensorflow/tensorflow/contrib/autograph/examples/benchmarks/ |
| D | benchmark_base.py | 42 all_times = []
46 all_times.append(time.time() - iter_time)
48 avg_time = np.average(all_times)
51 extras['all_times'] = all_times
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