AdvancedLinearRegression.py is the main file implemented with Pytorch which you can directly run to know whether the man on a given picture is smiling or not.
This algorithm is based on PCA & Linear Regression & Pooling. It can at least acheive 76.35735869407654% accuracy on our dataset which is contructed on CelebA.
Of course I think it is absolutely possible for you to obtain further accuracy improvement by simply adjusting the PCA coefficient or pooling size or LSR(least square regression) method.
LinearRegressionOnly.py is the simplified version of AdvancedLinearRegression.py which is only based on linear regression.
It will no longer be maintained thus please directly choose the above one instead of this.
===> Loading Data...
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===> Doing PCA...
===> Saving models...
No, I guess he is not smiling.
You guess correctly.
Yes, I guess he is smiling.
You guess correctly.
No, I guess he is not smiling.
You did not guess correctly.
Accuracy on backtesting: 76.35735869407654 %
Loss on backtesting: 0.7765066623687744
Loss on Trainingset: 0.3217602074146271