add pipeline data in results
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@ -686,9 +686,13 @@ def configuration_recommendation(recommendation_input):
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params = JSONUtil.loads(session.hyperparameters)
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params = JSONUtil.loads(session.hyperparameters)
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if target_data['bad'] is True:
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if target_data['bad'] is True:
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if session.tuning_session == 'randomly_generate':
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info = 'Randomly generated'
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else:
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info = 'WARNING: no training data, the config is generated by LHS'
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target_data_res = create_and_save_recommendation(
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target_data_res = create_and_save_recommendation(
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recommended_knobs=target_data['config_recommend'], result=newest_result,
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recommended_knobs=target_data['config_recommend'], result=newest_result,
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status='bad', info='WARNING: no training data, the config is generated by LHS',
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status='bad', info=info,
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pipeline_run=target_data['pipeline_run'])
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pipeline_run=target_data['pipeline_run'])
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LOG.debug('%s: Skipping configuration recommendation.\nData:\n%s\n\n',
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LOG.debug('%s: Skipping configuration recommendation.\nData:\n%s\n\n',
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AlgorithmType.name(algorithm), target_data)
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AlgorithmType.name(algorithm), target_data)
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