matrixprofile-ts
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A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile
Bumps [numpy](https://github.com/numpy/numpy) from 1.16.2 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...
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Minor, but keeps popping up in tooling we're doing: In matrixprofile/matrixProfile.py the use of `is` (instead of `==`) to compare `n_threads` to non-object `-1` prompts **SyntaxWarning: "is" with a literal.**
Hi, I was looking for motif discovery on timeseries and find this one. Seems very good, but my data has several variables, it's a multivariate time serie. This library doesn't...
In: mp = matrixProfile.stomp(pattern,m) mtfs ,motif_d = motifs.motifs(pattern, mp, max_motifs=10) self._set_item(key, value) value = self._sanitize_column(key, value) alue = sanitize_index(value, self.index, copy=False) Any idea how to solve this?
The following code below gives nan and inf values; am I using this incorrectly? seconds = np.arange(30) traffic_light = np.array([0]*15 + [1]*5 + [2]*10) brake_0 = np.array([0]*15 + [1, 2,...
Hello guys, It is not an issue as much as it is a suggestion of a new important feature. I noticed that your R package contains the source code for...
Hi, I was wondering if there are any plans to implement the MPdist (https://sites.google.com/site/mpdistinfo/) algorithm? Best regards Ole
Hi, I'm currently experimenting with MatrixProfiles, however i have some numerical issues i.e. using STOMP. `matrixProfile.stomp` calls `_matrixProfile_stomp`, which then calls moveanstd in my case. In this method however there...
The complexity measure for the annotation vector is defined as: `sqrt(sum(diff(subsequence).^2))` CID (Batista 2013) https://doi.org/10.1007/s10618-013-0312-3 Matrix Profile V (Dau 2017) http://dx.doi.org/10.1145/3097983.3097993 However, the implementation uses the mean instead of the...
The function `_stamp_parallel()` computes the distance-profiles via a pool of workers. Each worker returns a list of distance-profiles. The reduction of the distance-matrix occurs after all workers return their lists-of-distance-profiles....