sairamtvv

weight option in the timeseries data set

@lk1983823 I found a work around by assigning weights to zero. First fill all the missing time stamps and assign those missing with weights of zero

Sorry for the late reply., but this is how i understand it. you can assign weights to the time stamps (like how much importance should be given). therefore, fill the...

are you talking about weight attribute of TimeSeriesDataSet, Yes.

validation = TimeSeriesDataSet.from_dataset(training, data, predict=predict, stop_randomization=True, min_prediction_idx=training_cutoff + 1) please add min_prediction_idx as train_cutoff or validation_cutoff depending on your need

please have a look at these sites, https://www.kaggle.com/datasets/nishanthsalian/indian-stock-index-1minute-data-2008-2020/data https://tradingtuitions.com/intraday-1-minute-data-free-download/