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Python module for machine learning time series:

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Pype version: 1.2.2 Sklearn version: 1.0.1 Python version: 3.8.10 Problem: __init__() takes 2 positional arguments but 3 were given Solution: change to super(Pype, self).__init__(steps, memory=memory) in seglearn/pipe.py

How can I work with seglearn if I have a data representation that is presented [here](https://github.com/blue-yonder/tsfresh/blob/master/notebooks/timeseries_forecasting_basic_example.ipynb). I have two cases. In the first case I have a variable that is...

I have a z different time series with different lengths. For each time series, there are a different number of time points with timestamps and for each time point, there...

to capture long term dynamics

enhancement
help wanted

Implement data splitter with rolling splits similar to sklearn.model_selection.TimeSeriesSplit but with compatibility for data sets with more than a single time series and contextual data.

enhancement
help wanted

Are you planning to add this package to the [`conda-forge`](https://anaconda.org/conda-forge) channel?