I am working on gender-age classifiers. I am done with gender classifier with accuracy 98.8% and I am working on age classifier. I need to merge both binary classifier in one classifier model to get one export.pkl file. How can I do that?
input is image face and output is predicting both gender and age.
I am trying this but I dont know if it is correct .
I export my model from pkl file that predict face but how can I pass it to new learn to predict something else (gender for example)?
You can try something like this
def __init(self, gender, age):
self.gender = gender
self.age = age
def predict(self, x):
out1 = self.gender.predict(x)
out2 = self.age.predict(x)
return (out1, out2)
I don’t think you need to subclass the
Learner class, making a python object class can also work. If you use python object class, then you can simply use
pickle to export it.