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Very nice package, stringently designed!
I was wondering whether you were thinking about `sktime` integration?
* there are a lot of strategies for portfolio optimization that are based on foreca…
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**What is your feature request related to?**
* Module request
**Please describe the module/problem**
A wrapper for the [sktime ](https://www.sktime.org/en/stable/api_reference.html) library, wh…
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It would be great to have a basic set of probability distributions implemented.
Umbrella issue for implementing `sktime` probability distributions.
Recipe: use the `extension_templates/distribut…
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Most of the tests failing sporadically are of `TensorFlow` based estimators.
A deep dive into this issue was related to the `tf` latest version installed as a dependency(`v:2.16.2`)
Importing th…
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I want to use model.predict in a loop.
It keeps printing this:
GPU available: True (cuda), used: True
TPU available: False, using: 0 TPU cores
IPU available: False, using: 0 IPUs
HPU available:…
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**Describe the bug**
In the ExponentialSmoothing documentation, it is mentioned that "predict_interval" is applicable but when tried I got the below error message "ExponentialSmoothing does not have …
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**Describe the bug**
`InstanceSplitter` is unable to apply the same index to split `X` and `y` without throwing the following error:
`ValueError: Error in InstanceSplitter.split: InstanceSplitter i…
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19MB out of 28MB package size is due to the folder `datasets.data`, which contains a variety of raw data sets.
While some are conveniently small, there are obscure (and rarely) data sets for time s…
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do you use sktime
https://github.com/alan-turing-institute/sktime
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Implement the `DummyProbaRegressor` but with complete end to end support in `skpro`.
Some current limitations:
`fit` inside `DummyProbaRegressor` uses `skpro.distributions` which only supports …