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Hi All,
I'm trying to implement a classifier on multidimensional Timeseries data based on nearest neighbor classifier. I'm wondering if there are any ways to weight the features differently. Like t…
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I appreciate your package - it has made my life much easier. However, I have a question that I was hoping you could resolve:
In the case of:
X being an array of size (n,1), and
Y being an array of…
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Why do I get negative values from distance with some values for gamma?
For example, on a trajectory dataset, I had to choose gamma=1e-15 in order to get positive values. But this is nothing than dtw!…
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Greetings
As part of testing of different machine learning models I test the KNN model together with DTW and encounter a great slowness in the predictor function of the classifier, I would be very gr…
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### Describe the issue
overnights are failing due to slow tests for shape_dtw and occasionally TWE exceeding the 1800 secs limit when numba is turned off.
### Suggest a potential alternative/fix
…
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cross-correlation likely not enough to capture subtle differences in sequence performance (comparing FOR to REF), investigating dynamic time warping (DTW) to enable measurement of shifting of portions…
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It would be useful for me if this could have categorical time series data. Would it be possible to add this functionality? Would it be something like changing line 11 in slow_twed.py to also be the ed…
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I am new to Dynamic Time Warping and your note helps quite a lot. Thank you for your sharing. My input
data is 3-D, having shape of (n_samples, n_timesteps,n_features). I am not sure how to transfer …
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library(mgcv)
library(dtw)
# Generate data, the toy dataset analyzed by Phillip(2017) is used
Xnl
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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 …