Nima Sarajpoor

Results 47 issues of Nima Sarajpoor

According to the [numba document](https://numba.pydata.org/numba-doc/latest/user/parallel.html), `Loop Serialization` occurs when we have more than one `prange` in the nested loops. In these cases, only the outmost `prange` is executed in parallel....

**Describe the bug** I got an error when I was trying to run pytest on one of the unit tests. It cannot find the module `tslearn.metrics.cysax` **To Reproduce** If it...

bug

Hi, I was wondering if the SBD distance function (used in KShape) can be easily accessed? For instance, in spite of the existence of cdist_dtw or k-mean clustering (with dtw...

new feature

Hello tslearn community, I was wondering how TSK works with DTW distance. In Euclidean Distance, we know that the goal is to minimize the sum of squares of distances to...

Hello everyone, I have a question about normalizing (or standardizing) MV- time series data, and I think it is going to be a long post. Let's start with a simple...

Hi, I opened an issue before but closed it later and decided to say it here in "Feature Request." I was wondering if you could modify the TimeSeriesKmean function such...

new feature
good first issue

This PR addresses issue #592. In this PR, we want to extend the function `stump` and the related ones so that it returns Top-K Nearest Neighbors Matrix Profile (i.e. the...

This PR resolves issue #610 by adding a new config variable to reset the already-calculated pearson value to `1.0` when it exceeds the threshold set by the config variable.

I have been reading the module `mpdist` and I noticed: * The description of the output of `_mpdist_vect` is missing from its docstring * The description of `μ_Q` and `σ_Q`...

documentation enhancement
communication and transparency

It seems that `stumpy.stumpi.py` needs to calculate `matrix profile (mp)` in the beginning of the algorithm. https://github.com/TDAmeritrade/stumpy/blob/576de379994896063be71d264e48a08ae17476cf/stumpy/stumpi.py#L118 And, then it will be updated quickly for each new individual, scaler value...

enhancement
question