time-series-forecasting
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The README.md does not mention or link to ReadTheDocs documentation. It would be great if it did.
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The Getting Started page does mention ReadTheDocs documentation but does not link to it. We should add this [link](https://flow-forecast.readthedocs.io/en/la
comments in sktime-dl are currently in a different style to sktime. Standardising to conform would be helpful. See, for example, this for style.
https://github.com/alan-turing-institute/sktime/tree/main/sktime/classification
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- Display the index of series or DataFrame similar to Pandas
Example:
>>> pd_flights.index
Index(['0', '1', '2', '3', '4', '5', '6', '7', '8', '9',
...
'13049', '13050', '13051', '13052', '13053', '13054', '13055', '13056',
'13057', '13058'],
dtype='object', length=13059)
>>> pd_flights["AvgTicketPrice"].index
Index(['0', '1', '2', '3', '4', '5', '6-
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util.cumsumimplementation https://github.com/awslabs/gluon-ts/blob/master/src/gluonts/mx/util.py#L326 does not scale undermx.ndarraycumsumis 2-5 times slower thannd.cumsumunder bothmx.symandmx.ndarray, and even fails for large 4-dim inputSample test
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