Can anyone please check my Code for using DeepAR and SimpleFeedFoward Network?

[MarleneBs]

This is the Code I used for implement DeepAR:

to_pandasdataset = lambda data: PandasDataset(
    data,
    target="value1",
    feat_dynamic_real=[feat1,feat2,feat3]
)
train = to_pandasdataset([ts.iloc[:-prediction_length, :] for ts in multiple_ts])
test = to_pandasdataset(multiple_ts)

trainer = Trainer(epochs=e, num_batches_per_epoch= batch_per_ep)
from gluonts.transform.sampler import ValidationSplitSampler
estimator_with_features = DeepAREstimator(
        freq= '60min',
        prediction_length= prediction_length,
        #context_length= 2*prediction_length, #hat vielleicht ein bisschen was gebracht ?
        #dropoutcell_type= 'RNNZoneoutCell', # hat vielleicht ein bisschen was gebracht?
        trainer= trainer,
        use_feat_dynamic_real= True,
        num_layers= nl,
        num_cells= nc,
        cell_type= 'lstm',
        #dropoutcell_type='ZoneoutCell',
        use_feat_static_cat= False ,
        use_feat_static_real= False,
        impute_missing_values= True, #was passiert dann?
        cardinality= None,
        batch_size= batch,
       # validation_sampler= ValidationSplitSampler(),

    )
predictor = estimator_with_features.train(train)
forecast_it, ts_it = make_evaluation_predictions(dataset=test, predictor=predictor,num_samples= 100)
forecasts = list(forecast_it)
tests = list(ts_it)
evaluator = Evaluator(quantiles=[0.1, 0.5, 0.8, 0.95])
agg_metrics, item_metrics = evaluator(tests, forecasts, num_series=len(test))

This is my Code for the SImple Feed Foward:
from gluonts.model.simple_feedforward import SimpleFeedForwardEstimator

feedfoward = SimpleFeedForwardEstimator(
  prediction_length=prediction_length,
  context_length=prediction_length,
 trainer=Trainer(epochs=100, num_batches_per_epoch= batch_per_ep),
  batch_size= batch
)
predictor= feedfoward.train(train)
forecast_it, ts_it = make_evaluation_predictions(dataset=test, predictor=predictor)
forecasts = list(forecast_it)
tests = list(ts_it)
evaluator = Evaluator(quantiles=[0.1, 0.5, 0.8, 0.95])
agg_metrics, item_metrics = evaluator(tests, forecasts, num_series=len(test))
Is this correct?

For that I used the same Dataset