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great code thanks
may you clarify :
will it work for multivariate time series prediction both regression and classification
1
where all values are continues values
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or even will it wor…
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learn.save_all(path='export', dls_fname='dls', model_fname='model', learner_fname='learner')
The above command shows the following error for the TST model
**TypeError: cannot pickle 'code' object**
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### Contact Details
spencer.bronson@nrcan-rncan.gc.ca
### Provide Dataset Link
https://gee-community-catalog.org/projects/ca_lc/
### Describe the update
Annual rasters have been revised with up-t…
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Hello,
Thank you very much for disseminating openly your work and code.
I am trying to reproduce the classification notebook. It seems there is a bug in the ClassificationDataset class when loa…
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**Describe the bug**
A warning appears if using a sktime `make_pipeline` with `ColumnConcatenator` and `TimeSeriesForestClassifier`.
We do not see this warning if the `make_pipeline` is from sklearn…
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I am also learning about AIOps-related content now, and I am very interested in the open source work you provide related to AIOps, especially KGDiag and DiagFusion. However, these projects seem to be …
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Hello:
This is excellent work! Thank you for sharing it. Can I confirm if the category embedding is randomly initialized and fully trainable during training? For zero-shot classification, I believe i…
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Can automl only be used in time series models, Other models such as classification and regression tasks?
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**Describe the bug**
This could be a bug, or it might just be that users need better guardrails/examples about the appropriate use of grid searching methods in hyper-parameter tuning. As the examples…
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I have a dataset, however each time-series has additional category features.
Is it possible to take them into account when making classification?
For example:
```
from tslearn.utils import to_time…