Julia implementation of unsupervised learning methods for time series datasets. It provides functionality for clustering and aggregating, detecting motifs, and quantifying similarity between time series datasets.
I've been thinking about naming. Currently, storage can take values "intra" and "inter". I think that is very explicit and I like it. However, I see a challenge for the user that is not too familiar with the model, and may confuse inter and intra (it just happened to me, even though I thought I knew better..).
Maybe naming it storage=simple/seasonal or similar would be more explicit?
This is nothing urgent, but something we should consider before we publish.
I've been thinking about naming. Currently, storage can take values "intra" and "inter". I think that is very explicit and I like it. However, I see a challenge for the user that is not too familiar with the model, and may confuse inter and intra (it just happened to me, even though I thought I knew better..). Maybe naming it storage=simple/seasonal or similar would be more explicit? This is nothing urgent, but something we should consider before we publish.