How to extract the forecast data from MQ-CNN model

[Msaleh87]

So I was trying to plot the forecast data on top of the test data. I can plot them separately, but not on top of each other. Then I tried to extract the forecast data, but for some reason, I could not. Here is my code:

from gluonts.model.seq2seq import MQCNNEstimator
estimator = MQCNNEstimator(freq = '5min',
                           #context_length = 2*24*12,  
                           prediction_length = 1*24*12,
                           scaling = True,
                           use_feat_dynamic_real = True,
                           trainer = Trainer(epochs= 4, batch_size = 32 * 20 ,num_batches_per_epoch= int(3141/20) ,learning_rate = 0.001,hybridize=True, callbacks=[scheduler]))


test_data = ListDataset(
    [
        {"start": df_input.index[0], "target": df_input.Load[:'2022-03-09 04:50:00'], 
         'feat_dynamic_real': [df_input.DofW[:'2022-03-09 04:50:00']], 
        'time_feat': [time_feat_df.DayofWeek[:'2022-03-09 04:50:00'],
                     time_feat_df.Hour[:'2022-03-09 04:50:00'],]}, 

        {"start": df_input.index[0], "target": df_input.Load[:'2022-03-10 04:50:00'], 
         'feat_dynamic_real': [df_input.DofW[:'2022-03-10 04:50:00']],
        'time_feat': [time_feat_df.DayofWeek[:'2022-03-10 04:50:00'],
                    time_feat_df.Hour[:'2022-03-10 04:50:00'],]}   
    
    ],

freq = "5min")

from gluonts.evaluation.backtest import make_evaluation_predictions
forecast_it, ts_it = make_evaluation_predictions(
    dataset = test_data,
    predictor = predictor,
    num_samples = 20
)

forecasts = list(forecast_it)
tss = list(ts_it)

Now if I want to plot I do:

forecasts[0].plot()
tss[0][-288:].plot() 

How can plot them on top of each other, and more importantly how can I extract the forecast data in the format of timestamps and corresponding values? Every time I try any command on forecast[0], it gives me an error that it's a QuantileForecast object
QuantileForecast' object has no attribute

I checked this one, but didn't help: #987

[Msaleh87]

I closed the discussion here as I opened an issue here: #2308

It was answered here: #2310