stumpy
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STUMPY is a powerful and scalable Python library for modern time series analysis
The `stumpy.snippets` feature is now completed in #283 which follows this work: - The [original published paper](https://www.cs.ucr.edu/~eamonn/Time_Series_Snippets_10pages.pdf) - The [supporting website with data examples](https://sites.google.com/site/snippetfinderinfo/) We have a [rough notebook](https://github.com/TDAmeritrade/stumpy/blob/main/docs/Tutorial_Time_Series_Snippets.ipynb) that...
Assuming that you've identified some interesting motifs across multiple time series, one could potentially represent those motifs in the form of one-hot (or multi-hot) encoding and use them to train...
The motif module that will soon be ready (PR #185) only supports motif discovery for self-joins. Extending this to AB joins should not be difficult. Open question: Do we need...
We currently support `aamp`, `aamped`, and `aampi` and it would be useful to create tutorials for them
Currently, `gpu_stump` uses the sliding dot product approach to computing matrix profiles rather than Pearson Correlation. In theory, we should be process each row at a time (rather than traversing...
# Discovering motifs under uniform scaling From #85, I add Discovering motifs under uniform scaling tutorial from 3.1 of [The Matrix Profile Top Ten paper](https://github.com/TDAmeritrade/stumpy/files/4446948/zhu2020.pdf). Add `docs/Tutorial_Matrix_Profile_Top_Ten.ipynb` It still needs...
This PR is a replacement for PR #657, which tackles issue #610. Regarding PR #657: There was a discrepancy between the files in the local repo and the remote repo,...
# Pull Request Checklist From https://github.com/TDAmeritrade/stumpy/issues/85, I add Discovering motifs under uniform scaling tutorial from 3.3 of [The Matrix Profile Top Ten paper](https://github.com/TDAmeritrade/stumpy/files/4446948/zhu2020.pdf). Add docs/Tutorial_Top_Ten_3.ipynb - [x] Fork, clone, and...
This PR addresses issue #677. It resolves the bug. After solving the issue, I realized there exist another problem. In some cases, there is a (small?) difference between the output...
Recently, I received some feedback: 1. There is too much friction to "get started". With limited time, the tutorials are too verbose for users who are looking for the one...