Models in semopy are equipped with predict_factors method that can be used for factor scores estimation. Let's see how the method works with Political Democracy dataset:
from semopy.examples import political_democracy from semopy import Model desc = political_democracy.get_model() data = political_democracy.get_data() model = Model(desc) model.fit(data) factors = model.predict_factors(data) print(factors.head())
The output of the above example:
dem60 dem65 ind60
0 -2.539528 -2.368729 -0.536216
1 -2.345362 -1.513466 0.151093
2 2.925690 2.998107 0.740218
3 2.883632 3.021921 1.244115
4 2.428383 2.422393 0.831255 predict_factors is very versatile and general and can be used with any semopy-compatible model.