Windows added native support to run Android apps starting Windows 11. Here’s a guide to help you fix most of these issues. I did NOT scale the feature matrix because all features are in the same unit as the desired output and range from about -1 to +1.Android apps could break on your Windows 11 PC for many reasons.
I am really grateful for tips how to figure out what my problem here is.ĮDIT: I am using sklearn.neural_network.MLPRegressor which provides ‘identity’, ‘logistic’, ‘tanh’ and ‘relu’ as activation functions and I have teseted all of them in the grid search. I split the data into 66% for training and the remaining data for testing. I test for different hidden layer configurations, activation functions, learning rate and regularization penalty strengths. I use a grid search with cross validation to get good hyper parameter. I expected the output to be at least on the same level as the feature I input to the NN. Problem: The output of the NN is worse than the feature for the day I am interested in, both for the training and the testing data. I train the NN with the predictions for -7 days until +1 days around the day I am interested in as features, in order to obtain a better prediction for that day. I have predictions of a physical parameter of the last 4 years along with the quasi true values. Task: I am trying to improve a time series prediction. I have a problem with the performance of a multi layer perceptron regressor (neural network) and I cannot figure out why. Mark Asks: Neural Network regression negative performance
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