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Question : multi dimensional mstumped with T_B for non self join? #671
Firstly, thank you for the sharing this project, its really awesome.
I am experimenting with stumpy and am able to annotate a matrix profile a with similarity to matrix profile b using the T_A and T_B variables in the stumpy.stump(T_A = c1, m = m, T_B = c2, ignore_trivial=False) method.
I want to experiment with multi dimensional stumpy but note that stumpy.mstump does not have the ability to pass in a second time series.
Is there a method for doing non self joins (arbitrary a/b joins) on two multi dimensional time series?
@vade Thank you for your question and welcome to the STUMPY community. So, the first thing to clarify is that multi-dimensional matrix profiles are NOT simply 1D matrix profiles stacked one on top of each other and I recommend going over our multidimensional matrix profile tutorial if you haven't done so already. Having said that, there is no interpretable multi-dimensional matrix profile for AB-joins. So, no, it is not possible using mstump because it would be meaningless. At least, that was the conclusion that we came to when we looked at it a few years ago.
If you want 1D matrix profiles (from AB-joins) stacked on top of each other then you'll need to do this manually with stump.
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seanlaw commentedon Sep 9, 2022
@vade Thank you for your question and welcome to the STUMPY community. So, the first thing to clarify is that multi-dimensional matrix profiles are NOT simply 1D matrix profiles stacked one on top of each other and I recommend going over our multidimensional matrix profile tutorial if you haven't done so already. Having said that, there is no interpretable multi-dimensional matrix profile for AB-joins. So, no, it is not possible using mstump because it would be meaningless. At least, that was the conclusion that we came to when we looked at it a few years ago.
If you want 1D matrix profiles (from AB-joins) stacked on top of each other then you'll need to do this manually with stump.