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When I use Neuralprophet to predict future data, the core code is as follows: m = NeuralProphet(n_lags = 7, n_forecast=30, ) train_df, test_df = m.split_df(df, freq='D' future_df = m.make_future_dataframe(df, periods=30, n_historic_predications=True) forecast = m.predict(future_df)
however, the results of the forecast have only one day of future data.
For example:
data df has follow format:
ds y 2017-01-01 7 2017-01-02 10
...... 2023-12-31 18
I want to predict 2024-01-01 to 2024-02-01 data, but I can only predict 2024-01-01, the rest data between 2024-01-02 to 2024-02-01 is null. ds y 2024-01-01 18 2024-01-02' Nan
..... 2024-02-01 Nan
How can I resolve this problem and make the right prediction
The text was updated successfully, but these errors were encountered:
When I use Neuralprophet to predict future data, the core code is as follows:
m = NeuralProphet(n_lags = 7, n_forecast=30, )
train_df, test_df = m.split_df(df, freq='D'
future_df = m.make_future_dataframe(df, periods=30, n_historic_predications=True)
forecast = m.predict(future_df)
however, the results of the forecast have only one day of future data.
For example:
data
df
has follow format:ds y
2017-01-01 7
2017-01-02 10
......
2023-12-31 18
I want to predict
2024-01-01
to2024-02-01
data, but I can only predict2024-01-01
, the rest data between2024-01-02
to2024-02-01
is null.ds y
2024-01-01 18
2024-01-02' Nan
.....
2024-02-01 Nan
How can I resolve this problem and make the right prediction
The text was updated successfully, but these errors were encountered: