tfp.sts.forcast only applies to future data. Is it possible to "predict" training data?

[HuangKY]

I am using the Structural Time Series of TensorFlow Probability.
I separated my data(1 year) into training data (10 months) and test data (2 months).

After building the model and forecasting, I wondered whether it is possible to "predict" the training data so that I can compare the performance of the model in the training data interval.
Since the arguments of "tfp.sts.forcast" can only specify "num_steps_forecast" which does not include that option, I would ask here.