Stratified cross validation with Pytorch












0















My goal is to make binary classification, using neural network.
The problem is that dataset is unbalanced, I have 90% of class 1 and 10 of class 0.
To deal with it I want to use Stratified cross-validation.



The problem that is I am working with Pytorch, I can't find any example and documentation doesn't provide it, and I'm student, quite new for neural networks.



Can anybody help?
Thank you!










share|improve this question























  • I haven't used stratified CV before. But as I see it, this is not tied directly to PyTorch. To me, it seems more like a general data processing topic. So some general examples without invoking PyTorch code should be just as good.

    – blue-phoenox
    Nov 17 '18 at 21:02
















0















My goal is to make binary classification, using neural network.
The problem is that dataset is unbalanced, I have 90% of class 1 and 10 of class 0.
To deal with it I want to use Stratified cross-validation.



The problem that is I am working with Pytorch, I can't find any example and documentation doesn't provide it, and I'm student, quite new for neural networks.



Can anybody help?
Thank you!










share|improve this question























  • I haven't used stratified CV before. But as I see it, this is not tied directly to PyTorch. To me, it seems more like a general data processing topic. So some general examples without invoking PyTorch code should be just as good.

    – blue-phoenox
    Nov 17 '18 at 21:02














0












0








0








My goal is to make binary classification, using neural network.
The problem is that dataset is unbalanced, I have 90% of class 1 and 10 of class 0.
To deal with it I want to use Stratified cross-validation.



The problem that is I am working with Pytorch, I can't find any example and documentation doesn't provide it, and I'm student, quite new for neural networks.



Can anybody help?
Thank you!










share|improve this question














My goal is to make binary classification, using neural network.
The problem is that dataset is unbalanced, I have 90% of class 1 and 10 of class 0.
To deal with it I want to use Stratified cross-validation.



The problem that is I am working with Pytorch, I can't find any example and documentation doesn't provide it, and I'm student, quite new for neural networks.



Can anybody help?
Thank you!







pytorch cross-validation






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asked Nov 17 '18 at 20:35









elenabyelenaby

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  • I haven't used stratified CV before. But as I see it, this is not tied directly to PyTorch. To me, it seems more like a general data processing topic. So some general examples without invoking PyTorch code should be just as good.

    – blue-phoenox
    Nov 17 '18 at 21:02



















  • I haven't used stratified CV before. But as I see it, this is not tied directly to PyTorch. To me, it seems more like a general data processing topic. So some general examples without invoking PyTorch code should be just as good.

    – blue-phoenox
    Nov 17 '18 at 21:02

















I haven't used stratified CV before. But as I see it, this is not tied directly to PyTorch. To me, it seems more like a general data processing topic. So some general examples without invoking PyTorch code should be just as good.

– blue-phoenox
Nov 17 '18 at 21:02





I haven't used stratified CV before. But as I see it, this is not tied directly to PyTorch. To me, it seems more like a general data processing topic. So some general examples without invoking PyTorch code should be just as good.

– blue-phoenox
Nov 17 '18 at 21:02












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