Why doesn't yhat show when I use n_lags?

[boozesounds]

m = NeuralProphet(
n_lags=2*12,
n_forecasts=1*12,
changepoints_range=0.95,
n_changepoints=30,
weekly_seasonality=False,
batch_size=64,
epochs=100,
learning_rate=1.0)
metrics = m.fit(df, freq='5min')
future = m.make_future_dataframe(df, periods=1*12, n_historic_predictions=True)
forecast = m.predict(future)
fig = m.plot(forecast)
fig_param = m.plot_parameters()

print(forecast)
forecast = m.predict(future)
forecast[['ds', 'yhat1']].tail()

ds y yhat1 ... ar12 trend season_daily
0 2021-05-01 00:00:00 2775.22 None ... None None None
1 2021-05-01 00:05:00 2769.96 None ... None None None
2 2021-05-01 00:10:00 2773.23 None ... None None None
3 2021-05-01 00:15:00 2773.62 None ... None None None
4 2021-05-01 00:20:00 2772.12 None ... None None None
... ... ... ... ... ... ... ...
8688 2021-05-31 04:00:00 NaN None ... 778.216 1530.59 -5.20607
8689 2021-05-31 04:05:00 NaN None ... 772.608 1530.58 -4.8789
8690 2021-05-31 04:10:00 NaN None ... 770.372 1530.57 -4.48912
8691 2021-05-31 04:15:00 NaN None ... 768.139 1530.56 -4.03877
8692 2021-05-31 04:20:00 NaN None ... 770.04 1530.55 -3.53072

ds | yhat1
2021-05-31 04:00:00 | None
2021-05-31 04:05:00 | None
2021-05-31 04:10:00 | None
2021-05-31 04:15:00 | None
2021-05-31 04:20:00 | None

[ourownstory]

@boozesounds Might it be that it is just None for the very first '2*12` rows, because those are used as inputs for the first prediction?

[suntochukwu]

Did you solve this? i'm having the exact same issue.