-
### Describe the bug
Hi,
First of all, thanks for the great work at `aeon`.
Your implementation of DTW (`aeon.distances.dtw_distance`) differs from the one by `tslearn` (`tslearn.metrics.dtw`…
-
Hi, I am trying to train my model on 25,000 rows of time series data with each row having data for over 60 time-intervals. It is taking 2+ hours to fit and predict using kMeans & soft-dtw as distance …
-
I would like to first thank you all for the very useful library you have created, thank you very much!
To the question: I am using HDBScan to cluster data that I am generating from a simulation tha…
-
I think your repos might be just what I need! I am studying neurolinguistics and I would like to use dtw to do two things:
1) I am simultaneously recording microphone and neural data as people spea…
-
Hi,
Was wondering - for each element in the batch, does the current algorithm automatically parallelise? I have an RTX3090 (with 24 GiB) and I run out of memory instantly for a sequence anything lo…
-
[Numba supports the utilization of CUDA GPUs](https://numba.pydata.org/numba-doc/dev/cuda/index.html#cuda-index), does this package have any capability to support these?
skoeb updated
5 years ago
-
TimeSeriesKMeans hangs when averaging_method="dba".
CPU utilization drops to 0%, but no error message is displayed.
**Code**
```python
from sktime.clustering.k_means import TimeSeriesKMeans
X…
-
I am using this library on a spike sorting project and would like to cluster neurons regarding their behavior after a given stimulus. The problem is, that some neurons are clustered into very small gr…
-
Jake Armitage reported the following:
```
root@bela:~/RapidLib# ./rapidLibTest
----- Bayes test passed.
----- DTW empty test passed.
----- DTW test passed.
----- Multilayer tests skipped.
b…
-
Hey there,
I've got the following problem: I'm trying to identify the optimal number of clusters for my data. Therefore I run the KMeans (DTW) algorithm with different values for "n_clusters", whil…