Expanding time series

If the dimension of a vector time series increases over time (that is, it gains more values in the list), it is called an expanding time series. For example, a time series that contains a single float64 value is a single-dimension time series. A time series that contains a list<float64> is a multi-dimension time series.

For example, a maxDimension of 100 tells the operator to expect a vector time series of up to 100 elements. If a time series has more than 100 elements in this scenario, an exception occurs.