what is difference between n_instance and n_features?

[Haebuk]

in ts2vec.py, fit() requires train_data type (n_instance. n_timestamps, n_features).
what is difference between n_instance and n_features?
I think n_feature means the number of time series (e.g. univariate time series -> n_features=1)
Is same that n_instance to window size? or something?
thank you.

[zhihanyue]

"instance" means "sample". The difference between instances and features is that instances generally come from the same distribution. For example, for stock market, n_instance is the number of stocks, and n_features is the number of features (e.g. open, high, low, close, volume). For traffic flow, n_instance can be the number of roads, and n_features is the number of features collected on the road.