Boxi Liu

Reduce memory usage of DTW warping path matrix via using sparse matrix in scipy.

5

I am sometimes frustrated that tslearn cannot handle extremely large time series data set because of running out of memory in big-data sets, e.g., 100k time series samples each of...

Pleasure to see a parallellizable DTW metrics **cdist_dtw** is in tslearn. However, when the time series data set is very large, e.g., 20 GB, and run tslearn over a 50...

A simple example to reproduce this issue: `import torch import numpy as np import matplotlib.pyplot as plt from kmeans_pytorch import kmeans, kmeans_predict np.random.seed(123) data_size, dims, num_clusters = 1000, 200, 3...

Is it possible calculate inter DTW path matrices of a list of sequences in parallel?

4

Hi, Paul Very excellent implementation of dtw. I am trying to integrate the DTW sub-module into well-known tensorflow as an gpu operator. For being compatible to the tf APIs, it...