Pytorch-forecasting:: Univariate AssertionError: filters should not remove entries all entries
I tried to do univariate forecasting with Pytorch-Forecasting.
But I got following error on TimeSeriesDataSet

AssertionError: filters should not remove entries all entries - check
encoder/decoder lengths and lags

I have tried googling for the error, read the suggestion and make sure my training_df has sufficient number of rows. (I have plenty: 196). Also I only has 1 group_id which is 1. No other group_id, so all those 196 should be in same group.
My dataframes sample:
note: all rows has same group value = 1

    PutCall_Ratio_Total  time_idx  group 

Date
2006-02-24    11119.140000    0         1
2006-02-25    7436.316667     1         1
2006-02-26    3753.493333     2         1

I have training_df with length of 196


len(training_df)
196


And here is my TimeSeriesDataSet portion:
 context_length = 28*7
 prediction_length = 7 
     # setup Pytorch Forecasting TimeSeriesDataSet for training data
     training_data = TimeSeriesDataSet(
         training_df,
         time_idx=&quot;time_idx&quot;,
         target=&quot;PutCall_Ratio_Total&quot;,
         group_ids=[&quot;group&quot;],
         time_varying_unknown_reals=[&quot;PutCall_Ratio_Total&quot;],
         max_encoder_length=context_length,
         max_prediction_length=prediction_length
     )```


After some experiment, it seems that the training_df length (196) should be larger
than or equal to (context_length + prediction_length).
So for example above it works once I update the context_length to 27 * 7 instead of 28 * 7.
Since 27 * 7 + 7 = 196.
While 28 * 7 + 7 &gt; 196.
