Problem when use synapse ml lightgbm with feature store

eduardo_v
New Contributor
 

I'm running a model using LGBM with Spark, within Pipeline, but when I log it to MlFlow using the log_model feature store function, I can't replicate the pipeline in prediction.

eduardo_v_2-1733517977930.png

 

eduardo_v_1-1733517924811.png

When I execute:

predict = fs.score_batch(logged_model, df_pred)
 display(predict);  I have this error:
eduardo_v_3-1733518156483.png