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Hello everyone,
I was trying to replicate the results from the paper of Table 13 and 14. Therefore I used the configurations of configs/experiment/forecasting/s4-informer-etth.yaml and adjusted th…
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I have a pretty complicated dataset that I'd like to run supervised or unsupervised OD on, but I'm at a loss on where to start in terms of models.
Basically, I have a bunch of categorical multivari…
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# Background Research
**Completion Deadline:** November 20th, 2024
The sktime sibling issue to this one is https://github.com/sktime/sktime/issues/6481, we can add our desired annotation algorit…
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How to forecast multivariate series?
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this is my X_train shape = (200000,60,44) and y_train shape = (20000,)
and the code i used for classification is
python code:
from sktime.classification.kernel_based import RocketClassifier
fro…
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can not find
## Short description
Classification Multivariate time series : values both categorical and continues
features
color | weight | gender |height |age | target
****…
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https://lionelsy.github.io/blog/2020/10/15/P3-Multivariate-Time-Series-Imputation-with-Generative-Adversaria-Networks/
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So that I could measure the accuracy with something standard.
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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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I am using this model on stock companies to predict their price of next ten days . Does TimesFm support time series prediction with multiple input features? Along with price, can we give input feature…