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kaz-Anova / StackNet

StackNet is a computational, scalable and analytical Meta modelling framework
MIT License
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C:\Users\User\Stacknet\models\rjpt72fbrn75uj59unhgkvecdf0.pred(sysmtem can not find files) #37

Open ahbon123 opened 7 years ago

ahbon123 commented 7 years ago

Hello @kaz-Anova , have you ever met this issue (system can not find files for several models, which i guess maybe caused vide value of several columns for datasettwo_test files) when you run program? any ideas how to deal with this? thanks. 1

kaz-Anova commented 7 years ago

Could you put verbose:true on these algorithms?

You could show me the parameter line of this algorithm that it fails?

Generally this issue has to do when you run something really large ...

ahbon123 commented 7 years ago

thanks, i'll try to put verbose:true. i've add some models in first layer, but when i check the number of columns in datasettwo_test1 file, which is not equal to the number of my algorithms i used, so i'm not sure which two do not work. btw, two vide columns are in front of last one, so i suppose it should be SklearnExtraTreesRegressor and FRGFRegressor.

kaz-Anova commented 7 years ago

@ahbon123

If you have added classifiers, then yes, they produced more columns than just one . Each classifier will output as many columns as you set bins in the command.

iFe1er commented 6 years ago

I encountered the same issue as well while adding more feature in xgboost. I saw the same issue posted here. Using the verbose option, I can see that the xgboost itself was completed, but there is no .pred file created (was it suppose to be created)?

goldentom42 commented 6 years ago

Hi iFe1er, Could you please copy/paste the full stack trace when verbose is set to True, so that we can have a look at what's happening? Thanks, Olivier.

Issam28 commented 6 years ago

i run into the same issue here,any ideas?

ahbon123 commented 6 years ago

I think it was caused by memory limitation but not for sure. When I upgraded RAM of my desktop from 8GB to 12GB, problems just disappeared.