Hi,

I was trying to finetune with multiple targets as showing below:
train_inputs.append(
{
"target": {col: df_loop[col].values for col in list_cols_target},
"past_covariates": {
col: df_loop[col].values for col in list_past_covariates
},
}
)
# Fine-tune the model
finetuned_pipeline_2 = pipeline.fit(
inputs=train_inputs,
prediction_length=prediction_length,
num_steps=num_steps,
learning_rate=learning_rate,
batch_size=32,
logging_steps=10,
)

  However, it is not working.
  Is it possible to fine-tune with multiple targets.
  Thank you,