tailaiw
tailaiw
@talhaanwarch An input X should be a numpy array with shape (n,), (N, n), or (N, n, c), where n is the length of each series, N is the number...
@ogreyesp We didn't design the model based on the paper you mentioned, so I wouldn't expect exact equivalence. For how each augmentor in tsaug works, please refer to the [examples](https://tsaug.readthedocs.io/en/stable/notebook/Examples%20of%20augmenters.html)...
The Y in `tsaug` is considered as point-wise label to X. In other words, if Y is present, then it is assumed for segmentation purpose. I guess your problem is...
Yes, every row is augmented exactly 5 times.
I think it depends on the problem and the machine learning algorithm you will apply. For example, if you want to warp the timeline for both X and Y, you...
@pushkarjain Thanks for the request for the new feature. I agree this could be a useful API in certain circumstances but seems not super common. I will put it in...
Are your running this in jupyter notebook? If so, you may need `%matplotlib inline`.
@sbriseid That's exactly the design :) The plot function returns matplotlib figure and axes objects and users may decide when and how to show plots by themselves (e.g. `plt.show()` or...
How did you convert the index? If you use something like `df.index = pd.to_datetime(df.index)`, it should treat your integer index as nanosecond from epoch time. `adtk` currently only supports pandas...
I think [`RegressionAD`](https://arundo-adtk.readthedocs-hosted.com/en/stable/api/detectors.html#adtk.detector.RegressionAD) should work.