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Unfortunately, mljar seems to be inadequate for time series prediction. Missing features:
optionally: some time-series specific feature extraction (e.g. rolling means, convolutional neural net, etc)
optionally: quantile loss, ideally if multiple quantiles could be predicted (like Amazon Forecast or AutoGluon does)
at support for TimeSeriesSplit - I've noticed that mljar has validation_type="custom", cv= but it seems to be unimplemented, although cv is provided, I get You need to specify cv as list or iterable
The text was updated successfully, but these errors were encountered:
Unfortunately, mljar seems to be inadequate for time series prediction. Missing features:
TimeSeriesSplit
- I've noticed that mljar hasvalidation_type="custom", cv=
but it seems to be unimplemented, althoughcv
is provided, I getYou need to specify
cvas list or iterable
The text was updated successfully, but these errors were encountered: