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TDAmeritrade
STUMPY is a powerful and scalable Python library for modern time series analysis
# Pull Request Checklist #465 reproducing the paper for tutorial. Below is a simple checklist but please do not hesitate to ask for assistance! - [x] Fork, clone, and checkout...
See [this paper](https://www.dropbox.com/sh/qtmb8uxqntpt1e4/AAAI8dMmL4IQ2AUsx_6q0TsWa/PRCIS_ICKG_Extended.pdf?dl=0)
Currently, when there are precision-related issues, it is not obvious what random seed produced those failed unit/coverage tests. It would be nice to figure out a way to log this...
In many `@njit` cases, we use `fastmath=True`. However, this might be bad when the input arguments and/or output results contain `np.nan` or `np.inf` (see [Numba fastmath](https://numba.pydata.org/numba-doc/latest/user/performance-tips.html#fastmath)). In those cases, we...
See [this discussion](https://github.com/TDAmeritrade/stumpy/discussions/747) Currently, STUMPY is poised to accept/handle a `ray` distributed cluster to compute a matrix profile. This would be purely experimental but it should be possible with a...
This addresses issue #685, Novelet Notebook. I was talking about this paper with one of my friends, and I decided to implement it. And, then I decided to create a...
On a few occasions, some statistically-minded users have asked if it's possible to provide some sort of significance score/measure for each top-k nearest neighbor in the final matrix profile. This...
I just came across this new paper by Jessica Lin on a more [robust time series chain](https://arxiv.org/pdf/2211.02146.pdf). Not sure if it is relevant or how it compares with #211 especially...
Currently, `aamp` accepts argument `p` (with default `2.0`) to calculate p-norm distance. According to [a code written by scipy community](https://github.com/scipy/scipy/blob/de80faf9d3480b9dbb9b888568b64499e0e70c19/scipy/spatial/distance.py#L471), it is better to use `np.square(..)` when `p is 2`....
[Blog](https://www.rstudio.com/blog/tips-for-getting-started-with-the-nfl-big-data-bowl/) [Data](https://www.kaggle.com/competitions/nfl-big-data-bowl-2022/data) [Talk](https://www.youtube.com/watch?v=1sPSvt3wmxs) The goal is to see if it is possible to apply multi-dimensional matrix profiles to identify specific plays (offense/defense) within a game depending on the trajectories. Then,...
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STUMPY is a powerful and scalable Python library for modern time series analysis