fix ddpg
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parent
6c3b8643b4
commit
a9f1556184
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@ -781,6 +781,13 @@ def integration_tests():
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response = get_result(upload_code='ottertuneTestTuningGPR')
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assert response['status'] == 'good'
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# Test DDPG
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LOG.info('Test DDPG (deep deterministic policy gradient)')
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upload_result(result_dir='./integrationTests/data/', prefix='0__',
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upload_code='ottertuneTestTuningDDPG')
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response = get_result(upload_code='ottertuneTestTuningDDPG')
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assert response['status'] == 'good'
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# Test DNN: 2rd iteration
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upload_result(result_dir='./integrationTests/data/', prefix='1__',
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upload_code='ottertuneTestTuningDNN')
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@ -793,4 +800,10 @@ def integration_tests():
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response = get_result(upload_code='ottertuneTestTuningGPR')
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assert response['status'] == 'good'
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# Test DDPG: 2rd iteration
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upload_result(result_dir='./integrationTests/data/', prefix='1__',
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upload_code='ottertuneTestTuningDDPG')
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response = get_result(upload_code='ottertuneTestTuningDDPG')
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assert response['status'] == 'good'
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LOG.info("\n\nIntegration Tests: PASSED!!\n")
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@ -160,10 +160,11 @@ def clean_metric_data(metric_matrix, metric_labels, session):
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# If columns are missing from the matrix
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if missing_columns:
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for metric in missing_columns:
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index = metric_cat.index(metric)
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# append a missing column after the last column
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index = matrix.shape[1] # pylint: disable=unsubscriptable-object
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default_val = 0
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matrix = np.insert(matrix, index, default_val, axis=1)
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metric_labels.insert(index, metric)
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metric_labels.append(metric)
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LOG.debug(matrix.shape)
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# If they are useless columns in the matrix
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if unused_columns:
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