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knobstuningea's Issues

Questions about RGPE codes

Hi, I'm researching automatic database tuning and have had a chance to read your paper.
I have read your paper with great interest!

I want to execute your project, however, I can't understand the work process of RGPE (specifically tune_RGPE() function). I saw openbox library and your code detailed, and found that a version of the openbox that you have used is a previous version. Therefore, I hit a wall to understand the RGPE process.

You said that RGPE is an algorithm that transfers historical experience, so I'm curious where in your code the transfer of history and the part of the ranking loss you described in your paper are.

I would be grateful for your answer.

Error: 'ConfigParser' object has no attribute '_knobs'

Hi! I tried to recreate the experiments and found this error:

Traceback (most recent call last):
File "train.py", line 160, in
tuner.tune()
File "/home/mingo/Desktop/KnobsTuningEA-master/DB/lib/python3.7/site-packages/autotune/tuner.py", line 110, in tune
self.tune_lhs()
File "/home/mingo/Desktop/KnobsTuningEA-master/DB/lib/python3.7/site-packages/autotune/tuner.py", line 303, in tune_lhs
metrics, internal_metrics, resource = self.env.step_GP(knobs)
File "/home/mingo/Desktop/KnobsTuningEA-master/DB/lib/python3.7/site-packages/autotune/dbenv.py", line 842, in step_GP
flag = self.apply_knobs(knobs)
File "/home/mingo/Desktop/KnobsTuningEA-master/DB/lib/python3.7/site-packages/autotune/dbenv.py", line 179, in apply_knobs
knobs_rdsL = self._gen_config_file(knobs)
File "/home/mingo/Desktop/KnobsTuningEA-master/DB/lib/python3.7/site-packages/autotune/dbenv.py", line 551, in _gen_config_file
cnf_parser.set(key, knobs[key])
File "/home/mingo/Desktop/KnobsTuningEA-master/DB/lib/python3.7/site-packages/autotune/utils/parser.py", line 57, in set
self._knobs[k] = v
AttributeError: 'ConfigParser' object has no attribute '_knobs'

I can not figure out what is going on since the _knobs has been defined in init. Could anyone kindly point out why this happened? I really appreciate it!

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