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I tried to reproduce the MP of a time series (ts) using stumby and tsmp.
ts: 0 1 3 2 9 1 14 15 1 2 2 10 7
tsmp mp: 0.6 0.3 1.6 1.1 1.3 1.8 3.0 2.8 0.3 0.6
stumby mp: 6.9 1.4 6.2 7.9 11.4 13.6 14.1 14.0 1.4 6.2
I think the difference should be due to some normalization that takes place in tsmp that is hidden of the end user. Is it possible to pass a normalization parameter to tsmp to allow the end user to choose the normalization method or to use unnormalized data?
Regards
SN
The text was updated successfully, but these errors were encountered:
Hello,
Please try my new package (that will be a dependency of tsmp):
install this way the development version:
remotes::install_github("matrix-profile-foundation/matrixprofiler@release/Release-1")
best regards.
Hello and thank you for your excellent software.
I tried to reproduce the MP of a time series (ts) using stumby and tsmp.
ts: 0 1 3 2 9 1 14 15 1 2 2 10 7
tsmp mp: 0.6 0.3 1.6 1.1 1.3 1.8 3.0 2.8 0.3 0.6
stumby mp: 6.9 1.4 6.2 7.9 11.4 13.6 14.1 14.0 1.4 6.2
I think the difference should be due to some normalization that takes place in tsmp that is hidden of the end user. Is it possible to pass a normalization parameter to tsmp to allow the end user to choose the normalization method or to use unnormalized data?
Regards
SN
The text was updated successfully, but these errors were encountered: