Mohan16071996

Date format?

4

I have data with daily format, not on hourly format. how to handle this ? Dataframe example:  Can you give sample code like this: fcst_df = nixtla_client.forecast(df, h=24, level=[80,...

How to find the RMSE and MAE from raw predictions ?

2

Code is : ```python raw_prediction = best_tft.predict( training.filter(lambda x: (x.Ticker == "AAPL") ), mode="raw", return_x=True, ) ``` Here I get raw predictions, after getting this , i want to find...

The only variable as input should be the target which is part of time_varying_unknown_reals

1

My data set has : time_idx, Date, Ticker, Open, high, low, close, Stock split and Dividends. My Time series data set is: training = TimeSeriesDataSet( combined_data[lambda x: x.time_idx

Query on forecast

1

fcst_df = nixtla_client.forecast(train, h=7, freq = 'B' , time_col = 'ds', target_col='Close', add_history=False,level=[80, 90]) If my training data has late date as of date : 2024-04-18 as I have given...

ValueError: There are missing combinations of ids and times in `futr_df`. You can run the `make_future_dataframe()` method to get the expected combinations or the `get_missing_future(futr_df)` method to get the missing combinations.

3

### What happened + What you expected to happen 1.the bug: We are using Informer model with neural forecast. I get the mentioned error when I predict. forecasts = nf.predict(futr_df=test_data)...

The only variable as input should be the target which is part of time_varying_unknown_reals

1

My data set has : time_idx, Date, Ticker, Open, high, low, close, Stock split and Dividends. My Time series data set is: training = TimeSeriesDataSet( combined_data[lambda x: x.time_idx