On Sat, Dec 03, 2016 at 03:08:00PM +0530, Alekh Karkada Ashok wrote: > I want use the Scikit-learn's MLPRegressor to map image to image. That is I > have a numpy array of size [1000,2030400] (1000 samples, 76800x3 (RGB) > pixels). > Corresponding labelled images I have. Therefore Y is also [1000,230400]. But > according to documentation:
1 thousands samples and 2030 thousands features: you are using the wrong tool, I multi-layer perceptron model will be too complex and overfit in these settings. I would suggest a ridge. > We can see that Y should be a column matrix. Does this mean Scikit-learn > doesn't support multiple outputs? I believe that this is a documentation error. Could you open an issue (only on the documentation error) > I am getting MemoryError when I try to fit now. > More: http://stackoverflow.com/questions/40945791/memoryerror-in-scikit-learn I believe that your problem is too high-dimensional; Too many features. G _______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
