ValueError: Unknown label type: while implementing MLPClassifier

Question

I have dataframe with columns Year, month, day,hour, minute, second, Daily_KWH. I need to predict Daily KWH using neural netowrk. Please let me know how to go about it

Answer 1

Use a regressor instead. This will solve float 2D data issue.

from sklearn.neural_network import MLPRegressor   
model = MLPRegressor(solver='lbfgs',alpha=0.001,hidden_layer_sizes=(10,10))

model.fit(x_train,y_train)

y_pred = model.predict(x_test)