Hi, I have a trained NN which uses deep_var as an input. As when I’m trying to deploy it, In the input dataset and the deep_var column = 0 and the prediction is wrong, however, if I replace it with a correct number it predicts very close to that number.
Creating data in the NN trainer:
data = (TabularList.from_df(train_set, cont_names=cont_names, procs=procs)
.split_none()
.label_from_df(cols=dep_var, label_cls=FloatList, log=True)
.databunch(bs = 500))
Predicting the deep_var:
pred1 = learn1.predict(row)
print(“Predicted: {}”.format( 2.718281**(float(pred1[1]))))
Please help