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tobegit3hub avatar tobegit3hub commented on May 22, 2024

Thanks for reporting @Earthson

The suggestion is right and the suggested "l1024" is "1". But the output is out-of-order. The "16" is for the parameter "l64".

Does this make sense to you? @Earthson

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Earthson avatar Earthson commented on May 22, 2024

That's not correct, I'm sure the value received by python client is l1024=16.

The error always comes with BayesianOptimizizationTrial. like this:

        {
            "parameterName": "num_leaves",
            "type": "DISCRETE",
            "minValue": 0,
            "maxValue": 0,
            "feasiblePoints": "63, 127, 255",
            "scallingType": "LINEAR"
        },

image

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Earthson avatar Earthson commented on May 22, 2024

I'm using the docker image you given.

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tobegit3hub avatar tobegit3hub commented on May 22, 2024

Please give the example of l1024 and what I got here is num_leaves.

Everything works like what we expect. Are you sure the parameter name and result are consistent? @Earthson

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Earthson avatar Earthson commented on May 22, 2024

"But the output is out-of-order", what that means? The json I got is out of order? so how could I get a correct value of l1024?

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tobegit3hub avatar tobegit3hub commented on May 22, 2024

According your json file and screenshot, your define the parameter l1024 which should be integer from 0 to 1.

        {
            "parameterName": "l1024",
            "type": "INTEGER",
            "minValue": 0,
            "maxValue": 2,
            "feasiblePoints": "",
            "scallingType": "LINEAR"
        },

And look at your first screenshot.

Check out the id of 44, the value of l1024 is 1, which is totally what we expected.

You have given another example but it is for num_leaves. It's different from l1024 and I have no idea if it's related to your problem of l1024.

        {
            "parameterName": "num_leaves",
            "type": "DISCRETE",
            "minValue": 0,
            "maxValue": 0,
            "feasiblePoints": "63, 127, 255",
            "scallingType": "LINEAR"
        },

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Earthson avatar Earthson commented on May 22, 2024

@tobegit3hub please chek out the id of 45, which is BayesianOptimizationTrial, got "l1024"=16. It's not a correct value

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tobegit3hub avatar tobegit3hub commented on May 22, 2024

You're right. The returned values from id 45 is wrong.

But I'm not able to re-produce this problem. Can you try in the public advisor server http://hypertune.cn/ ? @Earthson

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codlife avatar codlife commented on May 22, 2024

Hi @tobegit3hub @Earthson ,what's the python version, i use python3.5 ,which can't work. Thankyou!

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tobegit3hub avatar tobegit3hub commented on May 22, 2024

Hi @codlife , can you open another issue and paste the error log about Python 3.5? I haven't test in Python 3.5 but it should work properly.

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tobegit3hub avatar tobegit3hub commented on May 22, 2024

The import error is tracked in #3 now.

I will close this issue because we can not re-produce the issue. Feel free to re-open if having any problem.

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