aeon
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aeon-toolkit
A toolkit for machine learning from time series
### Describe the feature or idea you want to propose recent period of tsc.com being down, and changes I introduced for results loading, have highlighted a confusing errors that can...
**Is your feature request related to a problem? Please describe.** the RandomShapeletTransform in transformations/panel/shapelet_transform is hard coded to use information gain in _find_shapelet_quality. It would be nice to be able...
```python from sktime.datasets import load_airline from sktime.transformations.compose import FeatureUnion, YtoX t = YtoX().fit(X=None, y=y) t.transform(X=None, y=y) ``` ```TypeError: X cannot be None, but found None ``` This transformer should accept...
This will avoid having to maintain code ourselves. Interactions between octave and python can be done using json-read, which is already bundled in niak.
### Describe the feature or idea you want to propose Basically until now, we compute the barycenter average supposing a uniform weight distribution for all series in the batch. I...
### Describe the bug the EncoderClassifier produces this warning "TFA has entered a minimal maintenance and release mode until a planned end of life in May 2024." ### Steps/Code to...
### Describe the bug refer: #1234 and #1240 see [this](https://github.com/aeon-toolkit/aeon/blob/2240e5c59d1e8e6db9442343c5fc6a4b95258e98/aeon/regression/distance_based/_time_series_neighbors.py#L175) we dont need to square the weights here ! ### Steps/Code to reproduce the bug in `class KNeighborsTimeSeriesRegressor(BaseRegressor):` ```python if...
### Describe the issue linked to the documentation Given the problem solved in #1271 we should make sure in all modules if there exists a miss-explanation of the `random_state` parameter...
### Describe the bug whilst writing tests noticed that this fails ```python def _coerce_to_period(x, freq=None): if isinstance(x, pd.Timestamp) and freq is None: freq = x.freq raise ValueError( "_coerce_to_period requires freq...
There test CI has a lot of warnings once the tests are run. I would like to clean most of these up (where possible). I have created a list of...
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A toolkit for machine learning from time series