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[D] Combining Classification and Regression in a sequential way
in a multip-output MLP model, one can perform classification and regression at the same time as shown above (source: https://machinelearningmastery.com/neural-network-models-for-combined-classification-and-regression/). However, I am looking for a way to do this sequentially?
For example, assuming samples have 7 input values and 1 output value. The model should first classify using the 7 input values and sequentially do the regression task using the classification output (i.e. classification has 7 input values from the original samples and regression has …!-->